JP2019113949A - Prescription search system and method, and prescription search program - Google Patents

Abstract

To automatically search for an optimum prescription according to symptoms and the like of a patient without intervention of an expert.SOLUTION: A prescription search system and method, and a prescription search program have an input step of inputting actual symptoms, and a search step of referring to respective symptoms stored in a database 3 and first relativity in three stages or more to prescriptions thereof, and searching for one or more prescriptions on the basis of the symptoms input in the input step, and are characterized in that the database 3 is updated by reflecting new relations between respective symptoms and prescriptions therefor on the first relativity when acquiring them newly.SELECTED DRAWING: Figure 3

Description

  The present invention relates to a prescription search system and method, and a prescription search program suitable for automatically searching for an optimum prescription from patient's symptoms.

  Attempts to provide optimal prescriptions for various diseases such as diabetes, cancer, hypertension and the like and various symptoms of thinning hair have been variously researched. In addition, various attempts have been made to provide an optimal prescription for various conditions affecting beauty such as facial stains, acne, sagging, and rough skin.

  The optimal prescription for these various symptoms is greatly influenced by the intake based on the patient's diet, and the attribute information such as the patient's age, sex, and genetics. For this reason, in order to propose an optimal prescription for each patient, the intake and attribute information are detected for each patient, and the optimum prescription is considered in consideration of the relationship with the detected intake and attribute information. Need to provide.

  However, the intake and attribute information of this patient are diverse, and the combination of these can reach millions and can be enormous. For this reason, it has been difficult at present to manually search manually for the optimum intake for individual intakes, attribute information, and the combination thereof.

  Conventionally, a medical support system has been disclosed that checks the interaction of prescription drugs with respect to patient attribute information (see, for example, Patent Document 1). There is also proposed a technology for quantifying the suitability of a prescription for symptoms and storing it in a computer and proposing an optimal prescription for a patient based on the input patient's symptoms and the fitness (for example, a patent) Reference 2).

JP, 2008-113807, A

  However, the techniques disclosed in Patent Documents 1 and 2 described above do not disclose the point of proposing an optimal prescription for each ingestible substance and each combination of attribute information for each symptom. Therefore, a combination of the techniques disclosed in Patent Literatures 1 and 2 described above can not propose a prescription corresponding to a wide variety of patient intakes and attribute information, even by those skilled in the art.

  In addition to the above, the techniques disclosed in Patent Documents 1 and 2 described above do not particularly disclose a method of searching for prescriptions for various symptoms affecting thin hair and various conditions affecting beauty.

  Therefore, the present invention has been devised in view of the above-mentioned problems, and the purpose of the present invention is to propose an optimum prescription for each ingestible substance and each combination of attribute information for each symptom. In particular, it is an object of the present invention to provide a prescription search system and method, and a prescription search program capable of searching for optimum prescriptions for various symptoms affecting thinning hair and various symptoms and beauty.

  The prescription search system to which the present invention is applied is a database in which three or more first association degrees of a combination of each symptom, each ingestible substance and any one or more of each attribute information, and the prescription thereof are stored in advance. And an input unit to which information constituting the combination is input, and a first association degree stored in the database, and one or more prescriptions are input based on the information input through the input unit. And search means for searching.

  The prescription search system to which the present invention is applied is actually previously applied to a database in which two or more second association degrees of three or more stages of new prescriptions are previously stored. And the second association degree stored in the database, and the previously applied condition input through the input unit is used. And searching means for searching for one or more new prescriptions based on the prescription and the change symptom described above.

  The prescription search program to which the present invention is applied is a first association that acquires in advance three or more first association degrees of a combination of each symptom, each ingestible substance and any one or more of each attribute information, and the prescription thereof. Referring to the degree acquisition step, the input step into which the information forming the combination is input, and the first degree of association acquired in the first degree of association acquisition step, 1 based on the information input in the input step The computer is caused to execute a search step of searching for the above prescription.

  The prescription search program to which the present invention is applied is a second association degree acquiring step of acquiring three or more stages of second association degrees between a new prescription and each of the former lifestyle habit and each of the former change symptoms, and actually, The change symptom input step with reference to the change symptom input step in which the given prescription and the change symptom by the actual patient who performed the prescription are input, and the second association degree acquired in the second association degree acquisition step And a new prescription searching step of searching for one or more new prescriptions based on the previously applied prescription and the change symptom inputted via the computer, and the above steps are executed by a computer.

  The prescription search method to which the present invention is applied is a first correlation which acquires in advance three or more first correlation degrees of a combination of each symptom, each ingestible substance, any one or more of each attribute information, and the prescription thereof. Referring to the degree acquisition step, the input step into which the information forming the combination is input, and the first degree of association acquired in the first degree of association acquisition step, 1 based on the information input in the input step And a search step of searching for the above prescription, and the computer executes the above steps.

  The prescription search method to which the present invention is applied is a second association degree acquisition step of acquiring three or more second association degrees between the previous lifestyle and each of the former change symptoms and the new prescription; The change symptom input step with reference to the change symptom input step in which the given prescription and the change symptom by the actual patient who performed the prescription are input, and the second association degree acquired in the second association degree acquisition step And a new prescription searching step of searching for one or more new prescriptions based on the previously applied prescription and the change symptom inputted via the computer, and the computer executes the steps.

  According to the present invention configured as described above, it is possible to determine the prescription by referring to the first association degree from the condition newly acquired through the operation unit. Moreover, according to the present invention, these discrimination operations can be performed automatically without human intervention. This eliminates the need for labor and time for staff with specialized knowledge to perform analysis from newly acquired symptoms.

FIG. 1 is a block diagram showing an entire configuration of a prescription search system 1 to which the present invention is applied. It is a block diagram of search device 2 which constitutes prescription search system 1 to which the present invention is applied. It is a figure which shows the example in which three or more 1st degree of association is defined beforehand between each symptom of a disease (lifestyle related disease), and prescription to a patient. It is a figure which shows the example by which the 1 or more prescription is related via the 1st association degree with respect to the combination with the several symptoms of a disease (lifestyle related disease). It is a figure which shows the 2nd connection degree of three or more steps of each change symptom by the patient who implemented the prescription given to the disease (lifestyle related disease) and the prescription, and a new prescription. It is a figure which shows the example in which the 1st relationship degree of three or more steps is predefined between each symptom of thin hair, and prescription to a patient. It is a figure which shows the example by which the 1 or more prescription is related via the 1st association degree with respect to the combination with the several symptoms of thin hair. It is a figure which shows the 2nd connection degree of three or more steps of each change symptom by the patient who implemented the prescription given to the thin hair and the prescription, and a new prescription. It is a figure which shows the example in which the 1st association degree of three or more steps is previously defined between each symptom regarding cosmetics, and prescription to a patient. It is a figure which shows the example by which the 1 or more prescription is related via the 1st association degree with the combination with the several symptom regarding cosmetics. It is a figure which shows the 2nd correlation degree of three or more steps of each change symptom by the patient who implemented the prescription and the prescription given previously regarding the cosmetics, and the new prescription.

  Hereinafter, a prescription search system to which the present invention is applied will be described in detail with reference to the drawings.

  FIG. 1 is a block diagram showing an overall configuration of a prescription search system 1 to which the present invention is applied. The prescription search system 1 automatically searches for the optimum prescription from the patient's symptoms etc without using an expert, and includes a database 3 and a search device 2 connected to the database 3 .

  In the database 3, a database is built on prescriptions to be provided to the patient. The database 3 stores information sent via a public communication network or information input by a user of the present system. The database 3 also transmits the accumulated information to the search device 2 based on a request from the search device 2. The database 3 may be controlled by artificial intelligence. This artificial intelligence may be based on any known artificial intelligence technology.

  The search device 2 is configured by, for example, an electronic device such as a personal computer (PC), etc. However, other than the PC, the search device 2 can be embodied by any other electronic device such as a mobile phone, a smartphone, a tablet type terminal, a wearable terminal, etc. It may be

  FIG. 2 shows a specific configuration example of the search device 2. The search device 2 performs wired communication or wireless communication with a control unit 24 for controlling the entire search device 2 and an operation unit 25 for inputting various control instructions via operation buttons, a keyboard, etc. Communication unit 26, a search unit 27 for searching for optimum detection algorithm information, and a storage unit 28 represented by a hard disk etc. for storing a program for performing a search to be executed It is connected. Furthermore, a display unit 23 as a monitor for actually displaying information is connected to the internal bus 21.

  The control unit 24 is a so-called central control unit for controlling each component mounted in the search device 2 by transmitting a control signal via the internal bus 21. The control unit 24 also transmits various control commands via the internal bus 21 in accordance with an operation via the operation unit 25.

  The operation unit 25 is embodied by a keyboard or a touch panel, and an execution instruction for executing a program is input from the user. The operation unit 25 notifies the control unit 24 when the execution command is input from the user. The control unit 24 having received this notification will start the search unit 27 and cooperate with each component to execute a desired processing operation.

  In addition, the condition, lifestyle, patient's attribute information and character of the patient who actually gives the prescription are further input through the operation unit 25. If the user is the patient himself, he / she inputs such information via the operation unit 25 and if the user advises the patient about the patient, the consultant will use the operation unit to obtain information from the patient. 25 will be input through.

  The search unit 27 searches for the optimal prescription for the patient from the information input through the operation unit 25. The search unit 27 reads various information stored in the storage unit 28 as necessary information when executing a search operation. The search unit 27 may be controlled by artificial intelligence. This artificial intelligence may be based on any known artificial intelligence technology.

  The display unit 23 is configured of a graphic controller that produces a display image based on control by the control unit 24. The display unit 23 is realized by, for example, a liquid crystal display (LCD) or the like.

  In the case where the storage unit 28 is configured by a hard disk, predetermined information is written to each address under the control of the control unit 24 and is read out as necessary. Further, the storage unit 28 stores a program for executing the present invention. This program is read out by the control unit 24 and executed.

  Next, the operation of the prescription search system 1 configured as described above will be described.

  First, the condition, lifestyle, attributes, and personality of the patient who is actually prescribed prescription are input through the operation unit 25. The input information is sent to the search unit 27 and the database 3.

  The search unit 27 searches for the optimal prescription for the patient based on the information sent from the operation unit 25. In the process of the search by the search unit 27, the information stored in the database 3 is referred to.

  In the database 3, three or more stages of first association degrees of each symptom, each lifestyle, each attribute information, each character of the patient, and a prescription for the patient are stored in advance. The first degree of association only needs to be at least associated with each symptom and the prescription for the patient, and the first degree of association between each lifestyle, each attribute information, and each character of the patient. It is not essential that the association be made through.

Prescription Search for Disease FIG. 3 shows an example in which three or more first association degrees are predefined between each symptom of a disease and a prescription for a patient. Each symptom is arranged on the left side through the first association degree, and each prescription is arranged on the right side through the first association degree. The first association degree indicates the degree to which the prescription is highly relevant to the symptoms arranged on the left side. In other words, the degree of association is an index indicating what kind of prescription is likely to be associated with each symptom, and indicates the appropriateness in selecting an optimal prescription from the symptoms.

  In addition to this, the first association degree relates one or more prescriptions to a combination of each symptom and an intake or attribute information.

  The symptoms are various symptoms of diseases, for example, direct symptoms such as blood sugar level and amount of hemoglobin A1c, and also include indirect symptoms such as various other laboratory test values in health check and amount of mineral in the body. These symptoms include the indices expressed in various medical data as well as the results (including VAS evaluation) that the doctor, the patient, the evaluator, etc. felt as sensory values.

  Lifestyles include any event that is relevant to the patient's life. This lifestyle includes, for example, if it relates to the eating habits, the amount of intakes and meals to be taken at the time of the meal, the time of the meal, and the like. As used herein, the term “ingestible” includes anything that can be ingested by a patient, and includes foods, beverages, supplements, drugs and the like. In addition, if the lifestyle is related to sleep, sleep time, wake-up time, bedtime time, etc. are included. Also, if the lifestyle relates to exercise, exercise time, exercise menu, etc. are included. Lifestyle also includes sleep, bathing, work, etc.

  The attribute information of the patient also includes information such as age, sex, occupation, presence or absence of cohabitant, whether or not a person of the same type of symptom is required within two relatives, or examination result by medical institution.

  Prescriptions include anything that relieves symptoms, such as what nutrients to take, what lifestyles to take and what medications to take. The prescription also includes medical procedures. The prescription may present a schedule of prescription to be administered and a treatment plan.

  The diseases include, for example, lifestyle-related diseases (high blood pressure, diabetes, dyslipidemia and the like) and all other diseases. Pollinosis may not be included in this disease. The disease also includes allergic symptoms. In the following example, lifestyle-related diseases are described as an example of this disease.

  In the example of FIG. 3, 75 grams of glucose in the symptoms of lifestyle-related diseases and a blood glucose level of less than 200 (mg / dl) after 2 hours, and intake of green and yellow vegetables in lifestyle (ingestible) is less than 60 g , Node R in combination with age 30 to 40 in the attribute, Node S in combination with hemoglobin in the symptoms of 6.5% or more and intake of green and yellow vegetables in the lifestyle (intake) of 120 g or more, in the symptoms A node T in which fasting blood glucose level is less than 126 (mg / dl) and age is 50 or more is provided. And this Node R has 70% of the first relevance of "take time to eat over time" and 20% of the first relevance of "avoid sweet or greasy meals" ing. In addition, Node S has 70% of the first linkage degree of "take 120g or more of green and yellow vegetables", 50% of the first linkage degree of "take time over a fixed time", and "sweet and fat The first association of "avoid eating a meal" is 30%. The node T has a first association degree of 60% for "take food containing dietary fiber" and a 40% association degree for "exercise for 3 minutes or more per day".

  The first association degree of such a combination is obtained in advance. Next, the search unit 27 refers to such a first association degree, and which one of the left side of the first association degree corresponds to the condition, lifestyle, and attribute information newly input through the operation unit 25? To determine If the condition newly input through the operation unit 25 is 75 grams of glucose and the blood glucose level after 2 hours is less than 200 (mg / dl) and the intake is less than 60 g of greenish yellow vegetables If the attribute is in the 30's to 40's, the node R corresponds to the node R, so that the first association degree of the node R is 70%, "deep eating for a fixed time," or The first association degree of 20%, such as "avoid sweet foods and greasy foods" will be selected. Similarly, when the symptom newly input through the operation unit 25 is 6.5% or more of hemoglobin and the intake of green and yellow vegetables is 120 g or more of the ingested item, the node S corresponds to the node S. "Take 120g or more of green and yellow vegetables" which is 70% of the first association of S, "do eat over time at a fixed time" which is 50% of the first association, and "it is 30% of the first association" Avoid sweet and greasy food.

  The first association degree may be configured by a model that can be updated through so-called machine learning, or may be configured by a neural network. The first association degree may be configured by a network on the premise that deep learning is performed.

  The search unit 27 refers to the first association degree stored in the database 3 in this manner, and the condition, lifestyle, and attribute information newly input through the operation unit 25 are on the left side of the first association. It is determined which of the arranged symptoms, lifestyle, and attribute information corresponds.

  The search unit 27 performs an operation of selecting a prescription by referring to the first association degree based on the symptom, lifestyle, and attribute information newly acquired through the operation unit 25. At this time, the search unit 27 may select a prescription with the highest degree of first association. As described above, as the first association degree is higher, the selection accuracy is higher. However, the search unit 27 is not limited to selecting the prescription with the highest degree of first association, and may intentionally select one having a medium first degree or a low degree of the first association. You may In addition to this, it is needless to say that a prescription having a first association degree of 0% in which an arrow is not connected between symptoms, lifestyle, attribute information and prescription may be selected. The search unit 27 is not limited to the case of selecting one of the prescriptions, and may select a plurality of prescriptions with reference to the first association degree. The prescription searched for by the search unit 27 is displayed via the display unit 23.

  Each item of the symptom, lifestyle, attribute information, and prescription listed in FIG. 3 is an example, and the processing operation described above is executed if it corresponds to the symptom, lifestyle, attribute information, and prescription. Of course it may be good.

  That is, according to the prescription search system 1 to which the present invention is applied, it is possible to discriminate the prescription from the symptom newly acquired through the operation unit 25 by referring to the first degree of association described above. Moreover, according to the prescription search system 1 to which the present invention is applied, it is possible to automatically perform these determination operations without human intervention. This eliminates the need for labor and time for staff with specialized knowledge to perform analysis from newly acquired symptoms.

  Further, the prescription search system 1 to which the present invention is applied is characterized in that the prescription search is performed via the first association degree set in three or more stages. The first association degree can be described by, for example, a numerical value of 0 to 100%, but is not limited thereto and may be configured at any stage as long as it can be described by three or more stages of numerical values. Good.

  By searching based on the first association degree represented by such three or more numerical values, it becomes possible to search and display in descending order of the association degree in a situation where a plurality of prescriptions are selected. . As described above, if it is possible to display to the user in descending order of the first association degree, it is possible to preferentially select and display more likely prescriptions. On the other hand, even in the case of a prescription with a low degree of first association, the prescription specified from that can be displayed in the sense of a second opinion, and it is useful in cases where symptoms are not improved by the prescription indicated in the first opinion. It can be demonstrated.

  In addition to this, according to the present invention, it is possible to judge without losing a very low prescription having a first association degree of 1%. It warns the user that even very low prescriptions for the first association are connected as slight signs and that they may be useful as useful prescriptions once in tens or hundreds of times. can do.

  Furthermore, according to the present invention, there is an advantage that the search policy can be determined by the method of setting the threshold value by performing the search based on the first degree of association of three or more steps. If the threshold is lowered, even if the above-mentioned first association degree is 1%, it can be picked up without omission, but on the other hand, there may be cases where a large number of prescriptions based on the first association degree with low possibility of correct answer. . On the other hand, if the threshold value is increased, it is possible to narrow down only the prescription having a high possibility of the correct answer, but on the other hand, a prescription showing a suitable solution may be overlooked in tens of times and once in hundreds. It is possible to decide which one to place a weight on the basis of the idea of the user side or the system side, but it becomes possible to increase the degree of freedom to select such emphasis points.

  Furthermore, in the present invention, the first degree of association described above may be updated. That is, the symptoms as shown in FIG. 3 and the prescription are updated as needed. This update may reflect information provided via a public communication network such as, for example, the Internet. In addition, the system side or the user side may update artificially or automatically based on the contents of research data, articles, academic conference presentations, newspaper articles, books, etc. by experts. In these update processes, artificial intelligence may be used.

  This update of the first association level raises or lowers the first association level whenever information on the relationship between the symptom and the prescription therefor is received. For example, if the effectiveness of a certain prescription for a certain symptom can be newly confirmed through a paper, a conference presentation, or other research data based on experimental verification, the degree of association between the symptom and the prescription is increased. In addition, if it is newly confirmed that a certain prescription does not work for a certain symptom through papers, academic conference presentations, or other research data based on experimental verification, the first association degree between the symptom and the prescription is lowered. .

  As described above, the first association degree is set to three or more stages, so that it is possible to freely cope with the case where it is desired to increase or decrease the first association degree. The update of the first association degree itself may be performed through the above-described machine learning and deep learning.

  Furthermore, when a new symptom that has never been found or a new prescription that has never been found is found, a first association degree may be newly set between these. Then, the first association degree for these new symptoms and prescriptions may be updated as described above.

  The first degree of association is not limited to the embodiment described above. In the example of FIG. 4, the first association degree for the node U is defined for the combination of a plurality of symptoms. That is, in this node U, two or more of the fasting blood glucose level, the blood glucose level 2 hours after drinking 75 grams of glucose, the blood glucose level at any time, and the hemoglobin are connected. This node U is further connected with lifestyle (consumables) and attributes. New prescriptions for this node U are associated with each other through the first association degree.

  Incidentally, in addition to the symptoms, a combination of two or more lifestyles (intakes) and a combination of two or more attribute information may be associated with the node.

  Further, according to the present invention, reference is made to the database 3 in which the second association degree of three or more stages of the new prescription and each change symptom by the patient who has performed the prescription and the prescription given previously is stored in advance. You may do so. The second association degree is configured by, for example, a neural network or the like.

  Here, the previously applied prescription includes any prescription previously applied to the patient, regardless of whether the prescription is searched through the prescription search system 1 to which the present invention is applied. The prescription given before includes any other items related to the diet and lifestyle to improve the symptoms. The previously given prescription also includes the drug name and surgery of the prescribed drug, the name and frequency of intake of the supplement taken, and the life style improved.

  The change symptoms referred to here indicate the symptoms changed by performing the prescription. The altered symptoms include, in addition to the ameliorated symptoms compared to those before the administration of the prescription, the aggravated symptoms or symptoms that have never changed before.

  The prescription given before through such operation unit 25 and the respective change symptoms by the patient who has carried out the prescription are input. The input information is sent to the search unit 27 and the database 3.

  The search unit 27 searches for a new prescription for the patient based on the information sent from the operation unit 25. In the process of the search by the search unit 27, the information stored in the database 3 is referred to.

  The above-mentioned second association degree is stored in advance in the database 3. The second association degree indicates the degree to which the new prescription is highly relevant to each combination of the previously applied prescription and each change symptom arranged on the left side. In other words, this second association degree is an index indicating which new prescriptions are likely to be associated with each combination of each previously given prescription and each change symptom, and the optimum prescription is selected from the symptoms. It indicates the adequacy of the selection.

  FIG. 5 shows an example of this second degree of association. The previously applied prescriptions and the change symptoms are arranged on the left side via the second association degree, and each new prescription is arranged on the right side via the second association degree.

  In the example of FIG. 5, “prevent sweet and oily foods”, “exercise at least 3 minutes a day”, and fasting blood glucose level 126 (mg / dl) as change symptoms, as a previously administered prescription. Node V above, as a pre-administered prescription, "do biting 30 times a bit", "do exercise more than 3 minutes a day", less than 126 (mg / dl) fasting blood glucose level as change symptoms, hemoglobin 6.5% The above nodes W are provided respectively. And this node V has a second prescription of 70% for the new prescription “take over 120g of green and yellow vegetables” and 40% for the second prescription of “take time over a fixed time” It has become. In addition, Node W is 80% for the second association of "take food containing dietary fiber" which is a new prescription, and 30% for the second association of "exercise for 3 minutes or more per day". There is.

  The second association degree of such a combination is obtained in advance. Next, the search unit 27 refers to such a second association degree, and the previously applied prescription newly inputted through the operation unit 25 and each change symptom by the patient who has performed the prescription are the second It is determined which of the items arranged on the left side of the degree of association corresponds. The previously applied prescription that was temporarily input via the operation unit 25 is "bite 30 times a bit", "exercises for 3 minutes or more per day", and changes fasting blood glucose level 126 (mg / dl) as a change symptom And the hemoglobin corresponds to the node W when it is 6.5% or more. In such a case, select “take food containing dietary fiber”, “do exercise for at least 3 minutes a day”, etc. as new prescriptions with reference to the second association degree of Node W. Become.

  In this way, it becomes possible to automatically search for a new prescription based on the previously given prescription and each change symptom by the patient who has carried out the prescription. For this reason, it is possible to continuously observe the patient's symptoms and select an optimal prescription according to this. If the previously given prescription is relatively strong and the patient's condition improves afterward, it is possible to continue to propose the best timely prescription, such as switching to a weaker prescription than before. It becomes.

  Incidentally, the second association degree may be updated similarly. That is, the previously applied prescription as shown in FIG. 5 and each change symptom and the new prescription are updated as needed. This update may reflect information provided via a public communication network such as, for example, the Internet. In addition, the system side or the user side may update artificially or automatically based on the contents of research data, articles, academic conference presentations, newspaper articles, books, etc. by experts. In these update processes, artificial intelligence may be used.

  In addition to the previously given prescription and each change symptom, the second association degree is associated with the prescription in combination with any one or more of the above-mentioned intake, attribute information, lifestyle, character, and external information. Of course, it may be done.

  Furthermore, the processing operation of the second association degree is limited to the case where the prescription searched based on the processing operation of the first association degree described above and the symptom applied that has been changed based on the prescription is input. Alternatively, previously applied prescriptions that are unrelated to this may be input. In such a case, the scope may be expanded further than the previous prescription, and the reference may be made to the previous lifestyle. The previous lifestyle may be composed of history information of lifestyles up to the present, or may be lifestyles detected intermittently at a certain point in time. Similarly, the change symptom may be composed of the change history of the symptom up to the present, or may be a symptom detected intermittently at a certain point in time before.

Prescription Search for Hair Growth FIG. 6 shows an example in which three or more first association degrees are predefined between each symptom of hair growth and a prescription for a patient. Each symptom is arranged on the left side through the first association degree, and each prescription is arranged on the right side through the first association degree. The first association degree indicates the degree to which the prescription is highly relevant to the symptoms arranged on the left side.

  In addition to this, the first association degree relates one or more prescriptions to a combination of each symptom and lifestyle and attribute information.

  The symptoms are various symptoms of thin hair, and include direct symptoms such as hair loss range, hair root symptoms and number of hair loss, and indirect symptoms such as scalp condition and amount of mineral in the body. These symptoms include indexes represented in various medical data as well as results (including VAS evaluation) that a doctor, a patient, an evaluator, etc. felt as sensory values.

  Lifestyles include any event that is relevant to the patient's life. This lifestyle includes, for example, if it relates to the eating habits, the amount of intakes and meals to be taken at the time of the meal, the time of the meal, and the like. As used herein, the term “ingestible” includes anything that can be ingested by a patient, and includes foods, beverages, supplements, drugs and the like. In addition, if the lifestyle is related to sleep, sleep time, wake-up time, bedtime time, etc. are included. Also, if the lifestyle relates to exercise, exercise time, exercise menu, etc. are included. In addition, if the lifestyle is hair care, care for hair and scalp with shampoo, tonic, etc., UV protection measures, massage, etc. are included.

  The attribute information of the patient also includes information such as age, sex, occupation, presence or absence of cohabitant, whether or not a person of the same type of symptom is required within two relatives, or examination result by medical institution.

  Prescriptions include anything that relieves symptoms, such as what nutrients to take, what lifestyles to take and what medications to take. The prescription also includes medical procedures. The prescription may present a schedule of prescription to be administered and a treatment plan.

  In the example of FIG. 6, the hair root symptom in the symptom of thin hair is a combination of male pattern hair loss, the case where the amount of protein in lifestyle (ingestible) is small, and the thin hair inheritance in the attribute information has a thin person in relatives. Node R, a combination of seborrheic hair loss symptoms with seborrheic alopecia and a high amount of protein in lifestyle habits (ingestible), node S with a hair loss range in symptoms of Hamilton classification YYY, and thin hair inheritance in attribute information A node T is provided in combination with the case where there is no thin hair in the relatives. And this Node R has 70% of the first association degree of “increasing the intake of red meat” and 20% of the first association degree of “selectable washable shampoo for 3 minutes / day”. . In addition, Node S has 70% of the first degree of association with “introduction of 0.1 mg of cytokine assembly”, 50% of the degree of first association of “amino acid nutritional supplement 2 g / day”, and “3 selected cleansing shampoos” The first degree of association for "minutes / days" is 30%. The node T has a first association degree of 60% with an “ethanol-based and nick 2 min / day”, and a 40% first association degree with “increasing red meat intake”.

  The first association degree of such a combination is obtained in advance. Next, the search unit 27 refers to such a first association degree, and which one of the left side of the first association degree corresponds to the condition, lifestyle, and attribute information newly input through the operation unit 25? To determine Temporarily the symptom newly input through the operation unit 25 is the hair root symptom in the symptom of thin hair is male pattern hair loss, the amount of protein in the lifestyle (ingestible) is small, and the thin hair inheritance in the attribute information is thin hair to a relative In the case where there is an elderly person, because it corresponds to Node R, “increase the intake of red meats” which is 70% of the first association of Node R or “selective cleansing shampoo” which is 20% of the first association. "3 minutes / day" will be selected.

  Each item of the symptom, lifestyle, attribute information, and prescription listed in FIG. 6 is an example, and the processing operation described above is executed if it corresponds to the symptom, lifestyle, attribute information, and prescription. Of course it may be good.

  The first degree of association is not limited to the embodiment described above. The example of FIG. 7 defines the first association degree for the node U with respect to a combination of a plurality of symptoms. That is, this node U has a hair loss range of Hamilton classification XXX type, hair root symptoms are alopecia hair loss, a large amount of protein in lifestyle (ingestible), and there are no thin hair in relative information in thin hair inheritance in attribute information. It is connected. That is, two or more symptoms are connected to the node U.

  Incidentally, in addition to the symptoms, a combination of two or more lifestyles (intakes) or a combination of two or more attribute information may be associated with the node U.

  Further, according to the present invention, reference is made to the database 3 in which the second association degree of three or more stages of the new prescription and each change symptom by the patient who has performed the prescription and the prescription given previously is stored in advance. You may do so.

  In addition, in this embodiment, it is not limited to what is called a lifestyle-related disease, It can carry out similarly, also when searching the prescription with respect to any disease.

  FIG. 8 shows an example of this second degree of association. The previously applied prescriptions and the change symptoms are arranged on the left side via the second association degree, and each new prescription is arranged on the right side via the second association degree.

  In the example of FIG. 8, nodes to which “cytokine aggregate introduction 0.1 mg / time”, “increasing the intake of red meats” are given as a prescription given before, and a hair loss range “Hamilton classification XXX type” is linked as a change symptom V, the previously applied prescription "3 minutes / day scrub wash on selected cleansing shampoo", "increasing the intake of red meat", and the node W to which the hair root symptom "seborrheic hair loss" is linked as the change symptom Each is provided. And this Node V is 70% of the second association of "0.1 mg / time of cytokine assembly introduction" which is a new prescription, and 40% of the second association of "amino acid nutrition supplement 2 g / day". It has become. In addition, Node W has 80% of the second association degree of the new prescription “Separate Selective Cleansing Shampoo 3 minutes / day” and the second association degree of “exercise for 3 minutes or more per day” is 30. It is%.

  The second association degree of such a combination is obtained in advance. Next, the search unit 27 refers to such a second association degree, and the previously applied prescription newly inputted through the operation unit 25 and each change symptom by the patient who has performed the prescription are the second It is determined which of the items arranged on the left side of the degree of association corresponds. The prescription applied previously through the operation unit 25 is "prescribed washable shampoo 3 minutes / day", "increasing the intake of red meat", the hair loss range as a change symptom Hamilton classification YYY When the hair root symptom is seborrheic hair loss, it corresponds to node W. In such a case, refer to the second association of Node W, and select "3 minutes / day scrubbing of selected cleansing shampoo", "do exercise for 3 minutes or more on the day", etc. as a new prescription. It will

  Incidentally, the second association degree may be updated similarly. That is, the previously applied prescription as shown in FIG. 5 and each change symptom and the new prescription are updated as needed. This update may reflect information provided via a public communication network such as, for example, the Internet. In addition, the system side or the user side may update artificially or automatically based on the contents of research data, articles, academic conference presentations, newspaper articles, books, etc. by experts. In these update processes, artificial intelligence may be used.

  In addition to the previously given prescription and each change symptom, the second association degree is associated with the prescription in combination with any one or more of the above-mentioned intake, attribute information, lifestyle, character, and external information. Of course, it may be done.

  Furthermore, the processing operation of the second association degree is limited to the case where the prescription searched based on the processing operation of the first association degree described above and the symptom applied that has been changed based on the prescription is input. Alternatively, previously applied prescriptions that are unrelated to this may be input. In such a case, the scope may be expanded further than the previous prescription, and the reference may be made to the previous lifestyle. The previous lifestyle may be composed of history information of lifestyles up to the present, or may be lifestyles detected intermittently at a certain point in time. Similarly, the change symptom may be composed of the change history of the symptom up to the present, or may be a symptom detected intermittently at a certain point in time before.

Prescription Search for Beauty FIG. 9 shows an example in which three or more first association degrees are predefined between each symptom relating to beauty and a prescription. Each symptom is arranged on the left side through the first association degree, and each prescription is arranged on the right side through the first association degree. The first association degree indicates the degree to which the prescription is highly relevant to the symptoms arranged on the left side.

  In addition to this, the first association degree relates one or more prescriptions to a combination of each symptom and lifestyle and attribute information.

  The symptoms are various cosmetic symptoms, and include direct symptoms such as facial dullness, facial wrinkles, facial stains, and indirect symptoms such as skin moisture and body mineral content. These symptoms include the indices expressed in various medical data as well as the results (including VAS evaluation) that the doctor, the patient, the evaluator, etc. felt as sensory values.

  Lifestyles include any event that is relevant to the patient's life. This lifestyle includes, for example, if it relates to the eating habits, the amount of intakes and meals to be taken at the time of the meal, the time of the meal, and the like. As used herein, the term “ingestible” includes anything that can be ingested by a patient, and includes foods, beverages, supplements, drugs and the like. In addition, if the lifestyle is related to sleep, sleep time, wake-up time, bedtime time, etc. are included. Also, if the lifestyle relates to exercise, exercise time, exercise menu, etc. are included. In addition, if the lifestyle is skin care, skin care with beauty essence, measures to prevent ultraviolet rays, cleansing, massage, etc. are included.

  The attribute information of the patient also includes information such as age, occupation, presence or absence of cohabitation, whether or not a person of the same symptom is required within two relatives, or examination result of a medical institution or the like.

  Prescriptions include anything that relieves symptoms, such as what nutrients to take, what lifestyles to take and what medications to take. The prescription also includes medical procedures. The prescription may present a schedule of prescription to be administered and a treatment plan.

  In the example of FIG. 9, the node R in the case where the amount of protein in the lifestyle habit (ingestible) is low and the age in the attribute is 30 to 40 years in combination when the face dullness in the symptom is level 3; The combination of node S with a level 2 face wrinkle and a high level of protein in a lifestyle (ingestible), a level 2 face dirt with symptoms and an age 50 in attribute information Nodes T in combination with each other are respectively provided. And this node R is 70% of 1st connection degree of "exercise for 3 minutes or more on the day", and 1st connection degree of "moisturizing cosmetic liquid 3 mg / day" is 20%. In addition, Node S had a 70% first association rate of “introduction of 0.1 mg / cycle of cytokine assembly”, a 50% first association degree of “increasing the intake of red meats”, and “3 mg of moisturizing serum”. The first association degree for “Sun” is 30%. Node T has 60% of the first association of "amino acid nutritional supplement 2 g / day" and 40% of "performing more than 3 minutes a day".

  The first association degree of such a combination is obtained in advance. Next, the search unit 27 refers to such a first association degree, and which one of the left side of the first association degree corresponds to the condition, lifestyle, and attribute information newly input through the operation unit 25? To determine Temporarily, the condition newly input via the operation unit 25 is that the level of facial dullness in the symptom for beauty is level 3, the amount of protein in the lifestyle (ingestible) is small, and the age in the attribute is 30-40s. In some cases, because it corresponds to node R, “perform exercise for 3 minutes or more on the day,” which is 70% of the first association of node R, or “moisturizing cosmetic solution, which is 20% of the first association. "3 mg / day" etc. will be selected.

  Each item of the symptom, lifestyle, attribute information, and prescription listed in FIG. 9 is one example, and the processing operation described above is executed if it corresponds to the symptom, lifestyle, attribute information, and prescription. Of course it may be good.

  The first degree of association is not limited to the embodiment described above. In the example of FIG. 10, the first association degree for the node U is defined for the combination of a plurality of symptoms. That is, this node U is connected with the level 1 of the face dullness, the level 2 of the wrinkles of the face, the large amount of protein in the lifestyle (intake), and the age of 50s or more in the attribute information. That is, two or more symptoms are connected to the node U.

  Incidentally, in addition to the symptoms, a combination of two or more lifestyles and a combination of two or more attribute information may be associated with the node U.

  Further, according to the present invention, reference is made to the database 3 in which the second association degree of three or more stages of the new prescription and each change symptom by the patient who has performed the prescription and the prescription given previously is stored in advance. You may do so.

  FIG. 11 shows an example of this second degree of association. The previously applied prescriptions and the change symptoms are arranged on the left side via the second association degree, and each new prescription is arranged on the right side via the second association degree.

  In the example shown in FIG. 11, Node V linked with “cytokine assembly introduction 0.1 mg / time”, “increasing the intake of red meats” as the prescription given previously, and level 1 of the face dullness as the change symptom, respectively As a prescription applied previously, “node moisturizing cosmetic solution 3 mg / l”, “increasing intake of red meats”, node W with face dullness level 2 and face wrinkle level 2 respectively provided It is done. And this Node V is 70% of the second association of "0.1 mg / time of cytokine assembly introduction" which is a new prescription, and 40% of the second association of "isoflavone supplement 1 g / day". ing. In addition, Node W has 80% of the second link of "new moisturizing cosmetic solution 3 mg / day" and 30% of the second link of "exercise at least 3 minutes a day". There is.

  The second association degree of such a combination is obtained in advance. Next, the search unit 27 refers to such a second association degree, and the previously applied prescription newly inputted through the operation unit 25 and each change symptom by the patient who has performed the prescription are the second It is determined which of the items arranged on the left side of the degree of association corresponds. The prescription applied previously through the operation unit 25 is “Moisturizing cosmetic solution 3 mg / l”, “Increasing the intake of red meats”, “Facial dullness in changing symptoms is level 2” If it is my level 2, it corresponds to node W. In such a case, after referring to the second association degree of Node W, select “Moisturizing cosmetic solution 3 mg / day”, “Perform exercise for at least 3 minutes a day”, etc. as a new prescription. Become.

  Incidentally, the second association degree may be updated similarly. That is, the previously applied prescription as shown in FIG. 5 and each change symptom and the new prescription are updated as needed. This update may reflect information provided via a public communication network such as, for example, the Internet. In addition, the system side or the user side may update artificially or automatically based on the contents of research data, articles, academic conference presentations, newspaper articles, books, etc. by experts. In these update processes, artificial intelligence may be used.

  In addition to the previously given prescription and each change symptom, the second association degree is associated with the prescription in combination with any one or more of the above-mentioned intake, attribute information, lifestyle, character, and external information. Of course, it may be done.

  Furthermore, the processing operation of the second association degree is limited to the case where the prescription searched based on the processing operation of the first association degree described above and the symptom applied that has been changed based on the prescription is input. Alternatively, previously applied prescriptions that are unrelated to this may be input. In such a case, the scope may be expanded further than the previous prescription, and the reference may be made to the previous lifestyle. The previous lifestyle may be composed of history information of lifestyles up to the present, or may be lifestyles detected intermittently at a certain point in time. Similarly, the change symptom may be composed of the change history of the symptom up to the present, or may be a symptom detected intermittently at a certain point in time before.

Reference Signs List 1 prescription search system 3 database 21 internal bus 23 display unit 24 control unit 25 operation unit 26 communication unit 27 search unit 28 storage unit

The prescription search system to which the present invention is applied is a database in which three or more first association degrees of the combination of each symptom, each lifestyle and any one or more of each attribute information, and the prescription thereof are stored in advance. And an input unit to which information constituting the combination is input, and a first association degree stored in the database, and one or more prescriptions are input based on the information input through the input unit. And a search means for searching, wherein the database contains a prescription which has been searched by the search means and each change symptom by a patient who has carried out the prescription and a second relation of three or more stages of a new prescription and a new prescription. The degree is stored in advance, the input means receives the change symptom according to the actual patient who has given the prescription given before, and the search means receives the second association degree stored in the database. Reference, based on the formulation that has been subjected to by the above change conditions and previously entered via said input means, characterized in that it comprises a search means for searching for one or more new prescription.

The prescription search system to which the present invention is applied is a database in which three or more second association degrees of the new prescription are previously stored with the previous lifestyle and each change symptom from the previous, and the actual life of the previous practice. input means changes due to actual patients was performed habits and the lifestyle symptoms is input, with reference to the second association degree stored in the database, the previous life which is input via said input means And search means for searching for one or more new prescriptions based on the habit and the change symptom.

The prescription search program to which the present invention is applied is a first association that acquires in advance three or more first association degrees of a combination of each symptom, each lifestyle, and any one or more of each attribute information, and its prescription. Referring to the degree acquisition step, the input step into which the information forming the combination is input, and the first degree of association acquired in the first degree of association acquisition step, 1 based on the information input in the input step The search step for searching for the above-mentioned prescription, the prescription which was searched in the above-mentioned search step and each changing symptom by the patient who implemented the prescription and carried out the above-mentioned prescription, and the second prescription of two or more stages of new prescription The second association degree acquisition step, the change symptom input step in which the change symptom by the actual patient who has performed the prescription given before is input, and the second association degree acquisition step And a new prescription search step for searching for one or more new prescriptions based on the change symptom and the previously applied prescription inputted in the change symptom input step with reference to the acquired second association degree. It is characterized by having it run .

Formulation search program according to the present invention includes a previous life habits and second association degree acquiring each change condition, the second association of three or more stages of a new formulation of a long, indeed previously The above change symptom input step is referred to with reference to the change symptom input step in which the lifestyle habit of the patient and the change symptom by the actual patient who has carried out the lifestyle habit is input and the second association degree acquired in the second association degree acquisition step. And a new prescription searching step of searching for one or more new prescriptions based on the previous lifestyle and the change symptom inputted via the computer, and the steps are executed by the computer.

The prescription search method to which the present invention is applied is a first association relationship in which three or more first association degrees of a combination of each symptom, each lifestyle and any one or more of each attribute information, and the prescription thereof are acquired in advance. Referring to the degree acquisition step, the input step into which the information forming the combination is input, and the first degree of association acquired in the first degree of association acquisition step, 1 based on the information input in the input step The search step for searching for the above-mentioned prescription, the prescription which was searched in the above-mentioned search step and each changing symptom by the patient who implemented the prescription and carried out the above-mentioned prescription, and the second prescription of two or more stages of new prescription The second association degree acquisition step, the change symptom input step where the change symptom by the actual patient who has performed the prescription given before is input, and the second A new prescription search step of searching for one or more new prescriptions based on the change symptom and the previously applied prescription inputted in the change symptom input step with reference to the acquired second association degree, A computer executes each step .

Formulation search method according to the present invention includes a previous life habits and second association degree acquiring each change condition, the second association of three or more stages of a new formulation of a long, indeed previously The above change symptom input step is referred to with reference to the change symptom input step in which the lifestyle habit of the patient and the change symptom by the actual patient who has carried out the lifestyle habit is input and the second association degree acquired in the second association degree acquisition step. And a new prescription searching step of searching for one or more new prescriptions based on the previous lifestyle and the change symptom inputted via the computer, and the computer executes the above steps.

Claims (15)

A combination of each symptom, each lifestyle, and any one or more of each attribute information, and a database in which three or more first association degrees with its prescription are stored in advance;
An input unit to which information constituting the combination is input;
A prescription search system comprising: searching means for searching for one or more prescriptions based on the information inputted through the input means with reference to the first association degree stored in the database. In the above-mentioned database, the second association degree of three or more stages of the prescription searched for by the search means and each change symptom by the patient who executed the prescription and the patient who implemented the prescription and the new prescription is stored in advance.
The above input means is inputted with the change symptoms by the actual patient who carried out the prescription given before,
The search means refers to the second association degree stored in the database and searches for one or more new prescriptions based on the change symptom and the previously applied prescription inputted through the input means. The prescription search system according to claim 1, comprising: search means. A database in which two or more second association degrees of three or more stages of a new prescription and a previous lifestyle and each change symptom from before and a new prescription are stored beforehand;
An input means for inputting a prescription actually given before and a change symptom by an actual patient who has carried out the prescription;
Searching means for searching for one or more new prescriptions based on the previously applied prescription and the change symptom inputted through the input means with reference to the second association degree stored in the database; The prescription search system characterized by having. The prescription search system according to claim 1 or 2, wherein the first association degree of the combination with each of the symptoms related to any of thin hair, beauty and disease is stored in the database in advance. The prescription search system according to claim 3, wherein the second association degree of the combination with each of the change symptoms relating to any of thin hair, beauty and disease is stored in advance in the database. When the above database newly acquires the relationship between each symptom, a combination of each lifestyle and any one or more of each attribute information, and the prescription thereof, this should be reflected in the first association degree. The prescription search system according to claim 1 or 2, wherein updating is performed. The first association degree is composed of a neural network,
The prescription search system for pollinosis according to claim 6, wherein the database is updated by performing the reflection on the first association degree by utilizing artificial intelligence. The above database is characterized in that, when the relationship between the previous lifestyle and each change symptom from the previous and the new prescription is acquired, the database is updated by reflecting it on the second association degree. The prescription search system according to Item 3. The second association degree is composed of a neural network,
The prescription search system according to claim 8, wherein the database is updated by performing the reflection on the second association degree by utilizing artificial intelligence. A first association degree acquisition step of acquiring in advance three or more stages of first association degrees with combinations of each symptom, each lifestyle and any one or more of each attribute information, and
An input step in which information constituting the combination is input;
And causing a computer to execute a search step of searching for one or more prescriptions based on the information input in the input step with reference to the first relationship degree acquired in the first association degree acquisition step. Prescription Search Program. A second association degree acquiring step for acquiring three or more second association degrees between each new symptom and each change symptom by a patient who has been searched in the search step and given the previous administration and the above described prescription;
A change symptom input step in which the change symptom by the actual patient who has given the prescription given before is input, and
A new prescription for searching for one or more new prescriptions based on the change symptom and the previously applied prescription inputted in the change symptom input step with reference to the second association degree obtained in the second relation value obtaining step. The prescription search program according to claim 10, comprising a search step. A second association degree acquisition step for acquiring three or more second association degrees between the previous lifestyle and each of the former change symptoms and the new prescription;
A change symptom input step in which a prescription that has actually been given and a change symptom according to an actual patient who has given the prescription are inputted;
With reference to the second association degree acquired in the second association degree acquiring step, one or more new prescriptions are searched based on the previously applied prescription inputted through the change symptom inputting step and the change symptom. And a new prescription searching step, and the above-mentioned each step is executed by a computer. A first association degree acquisition step of acquiring in advance three or more stages of first association degrees with combinations of each symptom, each lifestyle and any one or more of each attribute information, and
An input step in which information constituting the combination is input;
Searching for one or more prescriptions based on the information input in the input step with reference to the first association degree acquired in the first association degree acquiring step;
A method of searching for a prescription, characterized in that the computer executes the above steps. A second association degree acquiring step for acquiring three or more second association degrees between each new symptom and each change symptom by a patient who has been searched in the search step and given the previous administration and the above described prescription;
A change symptom input step in which the change symptom by the actual patient who has given the prescription given before is input, and
A new prescription for searching for one or more new prescriptions based on the change symptom and the previously applied prescription inputted in the change symptom input step with reference to the second association degree obtained in the second relation value obtaining step. The prescription search method according to claim 13, further comprising a search step. A second association degree acquisition step for acquiring three or more second association degrees between the previous lifestyle and each of the former change symptoms and the new prescription;
A change symptom input step in which a prescription that has actually been given and a change symptom according to an actual patient who has given the prescription are inputted;
With reference to the second association degree acquired in the second association degree acquiring step, one or more new prescriptions are searched based on the previously applied prescription inputted through the change symptom inputting step and the change symptom. New prescription search step
A method of searching for a prescription, characterized in that the computer executes the above steps.

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