CN114171193A - Heart failure disease treatment method for establishing personalized life index based on machine learning of AI (Artificial Intelligence) - Google Patents
Heart failure disease treatment method for establishing personalized life index based on machine learning of AI (Artificial Intelligence) Download PDFInfo
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- CN114171193A CN114171193A CN202111543619.3A CN202111543619A CN114171193A CN 114171193 A CN114171193 A CN 114171193A CN 202111543619 A CN202111543619 A CN 202111543619A CN 114171193 A CN114171193 A CN 114171193A
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Abstract
The invention discloses a heart failure disease treatment method for establishing an individualized life index based on machine learning of AI, which comprises the following steps: s1, software installation: downloading corresponding APP software for data acquisition through network equipment/terminal equipment; s2, life instruction measurement: measuring body temperature, respiration, pulse, systolic pressure and diastolic pressure of a patient through related medical tools respectively, and recording measurement data; and S3, uploading identity information and the fingerprint data. The invention simplifies the traditional life digital evidence evaluation process by matching the related APP software with the background data processing system, realizes intellectualization and humanization, has an AI personalized customization function, and can select different types of schemes according to the requirements of a measurer, thereby achieving the effects of life digital evidence measurement reminding and life digital evidence real-time tracking.
Description
Technical Field
The invention relates to the technical field of medical treatment, in particular to a heart failure disease treatment method for establishing an individualized life index based on machine learning of AI.
Background
The vital signs are used to determine the severity and criticality of a patient, and mainly include heart rate, pulse, blood pressure, respiration, pain, blood oxygen, changes in pupillary and corneal reflex, etc., which are the support for maintaining the normal activities of the body, and are all the way round, and no matter which abnormality can cause serious or fatal diseases, and some diseases can also cause the changes or aggravation of the four major signs, while the normal people have a pulse rate of 60-100 times/minute (generally 70-80 times/minute) in a resting state, and when drugs such as cardiac insufficiency, shock, high fever, severe anemia and pain, thyroid gland crisis, myocarditis, atropine, etc. are poisoned, the heart rate and pulse rate are accelerated significantly. When intracranial pressure increases and the atrioventricular block is complete, the pulse slows down. In general, the heart rate is consistent with a pulse, but in the event of an arrhythmia such as atrial fibrillation, frequent premature beats, etc., the pulse may be less than the heart rate, referred to as a short pulse.
The problem of body health becomes a core concern of people, particularly patients who suffer from diseases and are recovering, because the change condition of the life finger card requires a measurer to go to a relevant medical part and transmit measured index data to a doctor, and the result is obtained through the analysis of the doctor.
Disclosure of Invention
The invention provides a heart failure disease treatment method for establishing an individualized life index based on machine learning of AI (Artificial intelligence) aiming at the problems that in the background technology, the evaluation of life evidences requires that a measurer is in close contact with a relevant medical department, the flow is relatively complicated, and certain intellectualization and humanization are lacked.
In order to solve the phenomenon, the invention adopts the following technical scheme that the heart failure disease treatment method based on machine learning of AI (artificial intelligence) establishes the personalized life index, and the method comprises the following steps:
s1, software installation: downloading corresponding APP software for data acquisition through network equipment/terminal equipment;
s2, life instruction measurement: measuring body temperature, respiration, pulse, systolic pressure and diastolic pressure of a patient through related medical tools respectively, and recording measurement data;
s3, uploading identity information and evidence data: respectively recording the identity information, the body temperature, the respiration, the pulse, the systolic pressure and the diastolic pressure of a patient through APP software for data acquisition, and uploading the identity information and the measured data to a background through the APP software;
s4, data acquisition: the information receiving device of the background equipment receives the identity information, the life fingerprint and the activity data of the patient through a network;
s5, background processing: after the background receives data, the control system matches the acquired data with standard data parameter values in a database, so that basic data judgment is realized, if insufficient data (the calculated data quantity which cannot reach the standard and relevant data are lacked) appears, the control system initializes personal reference data and updates the personal reference data, and if the data are sufficient (the calculated data quantity which reaches the standard and relevant data are lacked), the control system calculates a VI value (a section with higher change in 30 Min) through an ML (maximum likelihood) model, so that a VI score and a notified threshold value are obtained;
s6, foreground display: after the background receives the data, the processed data can be directly transmitted to the display device of the foreground for presentation, and the calculated VI score of the ML model and the threshold value of the notification can be presented on the display device of the foreground for presentation.
As a further preferable mode of the present invention, in step S1, the network device includes a mobile phone and an IPAD, the terminal device is a computer, and the APP software performs independent entry and upload through the mobile phone and the IPAD or performs unified entry and upload through the computer.
As a further preferred mode of the present invention, in step S1, the APP software has an AI personalized customization function, which mainly includes a customized time period, bidirectional and unique direction tracking, a configurable life instruction index and customized life instruction according to the type of disease.
As a further preferred mode of the present invention, in step S3, the identity information content includes name, number, sex, hospital bed number, care level, attending physician and contact phone.
As a further preferred embodiment of the present invention, in steps S4 and S5, the backend device is composed of an information receiving device and a control system, the information receiving device is a network signal receiver, and the control system includes a data collecting unit, a data processing unit, a data analyzing and determining unit, and a data calculating unit.
As a further preferable mode of the present invention, in step S6, the display device of the foreground is mainly composed of a first display area and a second display area, the first display area is a display area for collecting the life documents and the activity data, and the second display area is a display area for VI scores and threshold values.
According to the invention, through the cooperation of related APP software and a background data processing system, life instruction measurement data can be effectively uploaded, analyzed and calculated, the acquired life instruction data and the calculated data are presented by a foreground, and a doctor can effectively correct the health change condition of a tester through the data comparison and analysis of the life instruction without the need of the tester to submit the life instruction data to related medical departments, so that the traditional life instruction evaluation process is simplified, the intellectualization and humanization are realized, meanwhile, the invention has an AI personalized customization function, and different types of schemes can be selected according to the requirements of the tester, thereby achieving the effects of life instruction measurement reminding and real-time life instruction tracking.
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FIG. 1 is a schematic overall flow diagram of the present invention;
FIG. 2 is a schematic data processing flow diagram according to the present invention;
FIG. 3 is a graph showing the VI value variation interval according to the present invention;
fig. 4 is a flow chart of AI calculation according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a technical scheme that: a heart failure disease treatment method for establishing an individualized life index based on machine learning of AI comprises the following steps:
s1, software installation: downloading corresponding APP software for data acquisition through network equipment/terminal equipment;
s2, life instruction measurement: measuring body temperature, respiration, pulse, systolic pressure and diastolic pressure of a patient through related medical tools respectively, and recording measurement data;
s3, uploading identity information and evidence data: respectively recording the identity information, the body temperature, the respiration, the pulse, the systolic pressure and the diastolic pressure of a patient through APP software for data acquisition, and uploading the identity information and the measured data to a background through the APP software;
s4, data acquisition: the information receiving device of the background equipment receives the identity information, the life fingerprint and the activity data of the patient through a network;
s5, background processing: after the background receives data, the control system matches the acquired data with standard data parameter values in a database, so that basic data judgment is realized, if insufficient data (the calculated data quantity which cannot reach the standard and relevant data are lacked) appears, the control system initializes personal reference data and updates the personal reference data, and if the data are sufficient (the calculated data quantity which reaches the standard and relevant data are lacked), the control system calculates a VI value (a section with higher change in 30 Min) through an ML (maximum likelihood) model, so that a VI score and a notified threshold value are obtained;
s6, foreground display: after the background receives the data, the processed data can be directly transmitted to the display device of the foreground for presentation, and the calculated VI score of the ML model and the threshold value of the notification can be presented on the display device of the foreground for presentation.
In step S1, the network equipment includes cell-phone and IPAD, terminal equipment is the computer, and APP software carries out independent entry through cell-phone and IPAD and uploads or carries out the unified entry through the computer and uploads, independently enters mainly to embody the patient and when carrying out the life finger card measurement at every turn, carries out instant upload through the cell-phone, to the old patient who does not have the cell-phone, in a short period, can upload the data of many times of measurements through the computer together.
In step S1, the APP software has an AI personalized customization function, which mainly includes a customized time period, bidirectional and unique direction tracking, a configurable life instruction index, and a customized life instruction according to the type of the disease, the customized time period can be set for measurement autonomously, and the purpose of reminding is achieved, and the setting unit is: the method comprises the following steps of tracking in a minute, hour and day two-way and unique directions, detecting a change condition in the unique direction (performing single selection on the change of various life notations, and only tracking the good or bad condition of the life notations), performing two-way selection on the change of various life notations, performing two-way tracking on the good or bad condition of the life notations), configuring life notations indexes, setting according to the tracked life notations of the user, wherein the set life notations comprise heart rate, respiratory rate, activity and the like, customizing the life notations according to the types of diseases, basing the customization of the life notations on the diseases, and performing comparative analysis on the life notations of the user based on the indexes of the life notations of the diseases, wherein the index of the life notations of the diseases comprises new crown viruses, flu or respiratory urgency and the like.
In step S3, the content of the identity information includes name, serial number, gender, hospital bed number, nursing level, attending physician and contact phone number, and the personal information of the patient and the related medical information are entered through the identity information, and for the identity information, the physician is convenient to identify the patient and understand the patient' S condition.
In steps S4 and S5, the background device is composed of an information receiving device and a control system, the information receiving device is a network signal receiver, the control system includes a data collecting unit, a data processing unit, a data analysis determining unit and a data calculating unit, the background device mainly processes, analyzes and calculates the data of the life fingerprint, the network signal receiver mainly receives the data information of the life fingerprint, the model of the network signal receiver is SZ-FC20S, the control system mainly processes the data by the data collecting unit, the data processing unit, the data analysis determining unit and the data calculating unit, and the data processing flow is processed by the data collecting unit, the data processing unit, the data analysis determining unit and the data calculating unit in turn, the data processing unit mainly includes a data cleaning unit, And the data labeling unit and the new data learning unit are used for receiving the CSV training data and the newly acquired data, and sequentially processing the CSV training data and the newly acquired data through the data cleaning unit, the data labeling unit and the new data learning unit to respectively realize threshold value verification and threshold value actuarial calculation.
In step S6, the display device of the foreground mainly includes a first display area and a second display area, the first display area is a display area for collecting the life instruction and the activity data, the second display area is a display area for VI score and threshold, the foreground mainly presents the collected data and the calculated data, and the contrast change between the collected data and the calculated data can be clearly known through the display of the display device for the doctor to evaluate.
In summary, the invention combines the life instruction data with the network transmission technology, uploads the evaluated data to the background through the network, and through the data processing, data analysis and judgment and data calculation of the background, thereby obtaining the analysis result, the result and the collected data are presented together through the foreground, the relevant doctors can compare the data through the foreground, thereby evaluating the health condition of the measurer according to the comparison data, when a measurer uses the APP, the AI can be customized according to the self requirement, by customizing the time period, bidirectional and unique direction tracking, configurable life instruction indexes and customizing the life instruction according to the type of the disease, therefore, the intelligent life fingerling system can compare measurement reminding, analysis results, types of life fingerlings and life fingerlings based on diseases, and realize intellectualization and humanization.
While there have been shown and described what are at present considered the fundamental principles and essential features of the invention and its advantages, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (6)
1. A heart failure disease treatment method for establishing an individualized life index based on machine learning of AI is characterized by comprising the following steps:
s1, software installation: downloading corresponding APP software for data acquisition through network equipment/terminal equipment;
s2, life instruction measurement: measuring body temperature, respiration, pulse, systolic pressure and diastolic pressure of a patient through related medical tools respectively, and recording measurement data;
s3, uploading identity information and evidence data: respectively recording the identity information, the body temperature, the respiration, the pulse, the systolic pressure and the diastolic pressure of a patient through APP software for data acquisition, and uploading the identity information and the measured data to a background through the APP software;
s4, data acquisition: the information receiving device of the background equipment receives the identity information, the life fingerprint and the activity data of the patient through a network;
s5, background processing: after the background receives data, the control system matches the acquired data with standard data parameter values in a database, so that basic data judgment is realized, if insufficient data (the calculated data quantity which cannot reach the standard and relevant data are lacked) appears, the control system initializes personal reference data and updates the personal reference data, and if the data are sufficient (the calculated data quantity which reaches the standard and relevant data are lacked), the control system calculates a VI value (a section with higher change in 30 Min) through an ML (maximum likelihood) model, so that a VI score and a notified threshold value are obtained;
s6, foreground display: after the background receives the data, the processed data can be directly transmitted to the display device of the foreground for presentation, and the calculated VI score of the ML model and the threshold value of the notification can be presented on the display device of the foreground for presentation.
2. The AI-based heart failure disease treatment method through machine learning and personalized life index establishment according to claim 1, wherein in step S1, the network device comprises a mobile phone and an IPAD, the terminal device is a computer, and the APP software is independently recorded and uploaded through the mobile phone and the IPAD or is uniformly recorded and uploaded through the computer.
3. The AI-based machine learning based heart failure disease treatment method for establishing a personalized vital sign according to claim 1, wherein the APP software has an AI personalized customization function in step S1, the AI personalized customization function mainly comprising a customized time period, bidirectional and unique direction tracking, a configurable vital sign index and customized vital signs by type of disease.
4. The AI-based machine learning-based heart failure disease treatment method of claim 1, wherein the identity information content includes name, number, gender, hospital bed number, care level, attending physician and contact phone number in step S3.
5. The method for treating heart failure disease through establishing personalized vital signs based on AI of claim 1, wherein the background device comprises an information receiving device and a control system in steps S4 and S5, wherein the information receiving device is a network signal receiver, and the control system comprises a data collecting unit, a data processing unit, a data analyzing and determining unit and a data calculating unit.
6. The AI-based machine learning heart failure disease treatment method of claim 1, wherein in step S6, the foreground display device is mainly composed of a first display area for collecting life testimony and activity data and a second display area for VI score and threshold.
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