JPH0795961A - Medical diagnosis system - Google Patents

Abstract

PURPOSE:To provide a medical diagnosis system high in accuracy and efficiency of diagnosis and judgment. CONSTITUTION:This medical diagnosis system has (a) a means to input data of oral checking diagnosis and inspection in medical or health checking, (b) a means 21 to judge which of criterion ranges the data inputted corresponds to, a condition group judging means 22 to judge whether a conditions group of the criterion ranges is satisfied or not pertaining to one, two or more of inspection items related to diseases, (d) a judging engine means 23 by which a results of judgment list is generated while the results of judgment shoving more serious condition are included when the judgment presents different results on the same disease and (e) an output means 4.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a medical diagnostic system used for diagnosis and judgment in medical care or medical examination.

[0002]

2. Description of the Related Art Today,
Although various tests such as a blood test, a urine test, an electrocardiogram, and an X-ray test are performed in a regular medical examination called a medical checkup, a doctor usually judges the test results and prepares a test report. However, since there are many examinees at one time in the regular health examination, the burden on the doctor is great.

For example, a doctor collects various test results into a set of one person, spreads them on a desk so that the test results for one person can be viewed, and finds a suspected disease based on abnormal findings, Check the examination items related to the disease to be examined, examine it, and create a judgment sentence commensurate with the case,
Write the judgment sentence on the gradebook by handwriting. This is a work called comprehensive judgment, and it takes an average of 10 minutes or more per examinee.

Moreover, there are some problems in this work. For example, not all judgment doctors make the same comprehensive judgment for the same data, and also for each judgment doctor,
The same comprehensive judgment is not always made for the same data.

In many medical institutions that carry out regular physical examinations, computers are used to fill in a form called a gradebook or the like with the results of diagnosis and judgment to inform the patient or the examinee. In most cases, the contents to be printed out are limited to numerical values or simple finding names, and it is often difficult for patients or examinees to understand the contents. In order to describe more complicated matters, most cases rely on handwriting by a judgment doctor, but since a large amount of handwriting is done in a short time, it tends to be difficult to read and omission of necessary items tends to occur. is there.

Therefore, in order to support the diagnosis and judgment work performed by the doctor, it has been attempted in recent years to introduce a medical diagnosis system to which the technique of the expert system is applied. The expert system is a system that generally transfers the know-how of an expert to a computer and performs work centering on judgment on the computer. Specifically, the expert system is constructed by creating a complicated condition group based on the flowchart and describing it in a programming language. Such a medical diagnostic system brings about a beneficial effect of improving accuracy and efficiency of diagnosis and determination, both for medical institutions and patients and examinees.

However, various medical interviews,
The data of examination and examination have various types, notations and units, and when the computer processes the data in consideration of the contents, a complicated processing system corresponding to each data is required. A program centered on such a condition group requires a large number of man-hours for development and has a large amount of processing at the time of execution on a computer. As described above, from the viewpoint of development cost and processing capacity, it is difficult to realize a medical diagnostic system unless it is a system of a relatively large scale using computers of the office computer class or higher.

Under the above circumstances, various medical diagnostic systems have been proposed so far. For example, Japanese Patent Laid-Open No. 1-16
No. 3873 consists of a rule-based database ("If ... If ...". In a diagnostic support system that provides diagnostic information of disease names by collating with the contents of (rules summarized), based on the rule type database, the entered patient's symptoms and the contents of the frame type database are compared,
Means for narrowing down the patient's disease name to some limited number, and checking the symptoms by asking the question corresponding to the narrowed down disease name and confirming the symptom and storing the disease name and its estimated progress with higher accuracy than the narrowed down disease name. A disease name confirmation means for storing, and a result display means for displaying the disease name with the increased accuracy and its estimated progress from the memory in a predetermined order, and outputting and displaying information about the disease name with the increased accuracy. Disclosed is a diagnostic support system including: However, this document does not specify the details of the system, and the disease narrowing process seems complicated.

Further, Japanese Patent Laid-Open No. 2-55032 discloses that in a diagnostic system for performing medical diagnosis based on measurement data obtained by measuring a subject, a plurality of measurement values obtained by subject measurement are converted non-linearly, Multiply each conversion value by a predetermined coefficient and add them to obtain a pathological index calculating means, a knowledge base for inferring the degree of disease, and a pathological index obtained by the pathological index calculating means. And a means for inferring the degree of disease using the knowledge of this knowledge base. For example, a blood glucose level (fasting, 1 hour, 2 hours later) is non-linearly converted into an evaluation value Sn, and the pathological index DMI of diabetes is expressed by the following formula: DMI = W ₁ × S ₁ (fasting) + W ₂ × S ₂ (1h) +
W ₃ × S ₃ (2h) (where W ₁ = 0.4 (weighting factor when fasting), W ₂ = 0.
25 (weighting coefficient after 1 h), W ₃ = 0.35 (weighting coefficient after 2 h)). However, this system can diagnose only a specific disease, and when trying to diagnose all possible diseases such as regular physical examination, the calculation formula becomes extremely complicated.

[0010]

[Means for Solving the Problems] As a result of earnest research in view of the above problems, the present inventor has determined the data of an inquiry, an examination and an examination based on a determination method that a doctor usually employs in an examination or a regular health examination. However, if different judgment results are obtained for the same disease, and if the heavier one is compared by comparing them, a very accurate diagnosis can be made and the diagnostic system can be downsized. Was discovered, and the present invention was conceived.

That is, the medical diagnostic system of the present invention is
(a) A means for inputting data of inspection items taken by any method of inquiry, medical examination, and examination, and (b) A means for judging which of the predetermined number of judgment ranges each input data corresponds to. And (c) condition group determination means for determining whether or not the condition group of the determination range for one or more test items related to each disease is satisfied, and (d) when each condition group is satisfied While making a list summarizing the determination results, the determination engine means to enter the determination result of the one with more severe symptoms when different determination results are obtained for the same disease, and (e) the determination result And means for outputting the contents of the list.

According to a more preferred embodiment, the medical diagnostic system of the present invention comprises (a) means for inputting data of an inspection item taken by any one of an inquiry method, an examination method and an examination method,
(b) a first storage means for storing determination range data in which possible values of each inspection item are classified into a predetermined number of determination ranges,
(c) means for comparing the input data with the judgment range data read out from the first storage means to judge which judgment range is applicable; and (d) one related to each disease or A second storage means for storing a condition group of a judgment range of two or more inspection items; and (e) whether or not the judgment range of the input data satisfies the condition group read from the second storage means. Condition group determination means to determine, (f) findings and trends of the disease to be output as a determination result when each condition group is satisfied, a determination level, a third storage means for storing data of causes and comments,
(g) by using the data of the findings / propensity of the disease, the judgment level, the cause and the comment read from the third storage means,
Along with creating a list of determination results, the determination engine means for entering the determination result of one with more severe symptoms when different determination results are obtained for the same disease, (h) in the determination engine means And a means for outputting the content of the determination result list in the form of a normal sentence.

[0013]

DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described in detail with reference to the drawings. FIG. 1 is a block diagram showing a medical diagnosis system according to an embodiment of the present invention. Medical diagnostic system,
Means 1 for inputting medical examination and examination data, judgment means 2 for diagnosing a medical condition of a patient or a patient from the input inquiry, medical examination, and examination data, storage means 3, and means 4 for outputting a diagnostic result. Have. The determination unit 2 has a determination range determination unit 21, a condition group determination unit 22, and a determination engine unit 23. The storage unit 3 includes a first storage unit 31 that stores a determination range, a second storage unit 32 that stores a condition group, and a determination result (determination level, finding / tendency, cause, comment, etc.) by the condition group determination unit 22. The third storage means 33 stores a database required to represent the (classification). In addition, the storage means 3 can also store the input interview data, consultation data, and examination data.

This medical diagnostic system can be constituted by a personal computer, in which case the input means 1 is a data input means such as a floppy disk drive, a mark sheet reader, a keyboard, etc., and the judging means 2 is a microprocessor unit. Storage means 3 is RA
The output means 4 is a form output printer, a floppy disk drive and / or a display.

[1] Judgment Range Determining Means The judgment range determining means 21 corresponds to the inquiry range, medical examination, and examination data input from the inputting means 4 with the judgment range table read from the first storing means 31. It determines the judgment range. The judgment range table shows a predetermined number of ranges classified for all inspection items. It is preferable that the determination range is represented by 0 and an integer value with a plus or minus sign, and 0 is set as a normal value range, and the plus or minus integer value increases as the degree of abnormality increases. For example, -4, -3,-
Classify into ranges such as 2, -1, 0, +1, +2, +3, +4. In this example, the ranges are classified into 9 ranges, but the range is not limited to this. Further, it is not necessary to classify all inspection items into the same number of ranges. The judgment range can be freely modified according to gender, age, race, etc. The determination result of the determination range is stored in the storage unit 3.

The judgment ranges for some of the inspection items are shown in Table 1 below.

[0017] Table 1 Range test items -4 -3 -2 -1 0 monocyte - - - 1.0 <n 1.0 ≦ n ≦ 6.0 fasting glucose - n <50 50 ≦ n < 60 60 ≦ n <70 70 ≦ n ≦ 110 Blood glucose 1h value −n <80 80 ≦ n <95 95 ≦ n <110 110 ≦ n ≦ 160 GOT − − − n <10 10 ≦ n ≦ 40 X-ray / gastric diverticulum − − − − None Smoking − − − − Do not smoke

Table 1 (continued) Range item +1 +2 +3 +4 Monocytes 6.0 <n ≤ 7.0 7.0 <n ≤ 8.0 8.0 <n ≤ 10.0 10.0 <n Fasting blood glucose 110 <n ≤ 120 120 <n ≤ 140 140 <n -Blood glucose 1h level 160 <n ≤ 170 170 <n ≤ 200 200 <n-GOT 40 <n ≤ 100 100 <n ≤ 250 250 <n- X-ray / gastric diverticulum suspected --- Smoking amount 1-10 cigarettes / day 11-20 bottles / day 21 bottles / day or more −

The judgment range table is prepared for all the inspection items, and the range which is not possible within the range of -4 to +4 is blank.

Further, the value of each inspection item is set to (2) of -n to + n.
By standardizing to (n + 1) levels, it becomes extremely easy to judge the authenticity of the condition group including the combined judgment ranges.

[2] Condition Group Judging Means (1) Condition Group The condition group is composed of a plurality of condition groups in which the judgment range of each inspection item is combined with the judgment ranges of other inspection items related to it, and the condition group. It is determined whether or not is satisfied. In the diagnosis that a doctor usually makes, firstly, pay attention to a specific test item, and if an abnormality is found in that data, check the data of some other test items related to that test item to determine whether there is a disease. Judge. The combination of test items to be checked differs depending on the disease.

The condition group of the present invention simulates such a doctor's diagnosis method, and determines whether or not the inspection result satisfies all the determination ranges of a plurality of inspection items.

When the inspection item is monocytes, the condition groups stored in the second storage means 32 are shown in Table 2 below.
Shown in.

Table 2 (a) (Monocytes≤-1) and (Hb≤-2). (b) (Monocytes ≤ -1) and (other than above). (c) (Monocytes = + 1) and {(CRP ≧ + 2) or (Blood sedimentation ≧ + 2) or (Fever = + 1)}. (d) (Monocyte = +1) and (other than above). (e) (Monocyte ≥ +2) and {(CRP ≥ +2) or (blood sediment ≥ +2) or (fever = +1) or (sputum ≥ +1) or (cough ≥ +1)
Or two or more (XP / abnormal shadow)}. (f) (Monocytes ≧ + 2) and {(TPHA ≧ + 1) or (Glass plate method ≧ + 1)}. (g) (Monocytes ≥ +2) and {(heart murmur) or (fever = +1) or (fatigue / fatigue ≥ + 1) or (punctate spots ≥ + 1)
Two or more}. (h) (Monocytes ≥ +2) and {(CRP ≥ +2) or (blood sediment ≥ +2) or (heart murmur) or (fever = +1) or (sputum ≥ +1)
Or (cough ≧ + 1) or (XP / abnormal shadow) or (fatigue / fatigue ≧ + 1) or (punctate spots ≧ + 1) more than two}. (i) (Monocyte ≧ + 2) and {(GOT ≧ + 2) or (CRP ≧ + 2) or (ZTT ≧ + 2) or (γ-GTP ≧ + 2) or (HBsAg ≧ +)
1) two or more}. (j) (Monocytes ≧ + 2) and [{(joint pain ≧ + 2) or (joint swelling ≧ + 2)} or (RA ≧ + 1) or (morning hand stiffness ≧ + 1) or (blood sink ≧ + 2) or ( CRP ≧ + 2) or
(White blood cells ≧ + 2) or (Hb ≧ + 2) more than two]. (k) (Monocytes ≧ +2) and [{(XP / hilar lymphadenopathy / right)
And (XP / hilar lymphadenopathy / left)} or (echo /
Abdominal lymphadenopathy) or (lymphadenopathy ≧ + 1)]. (m) (Monocytes ≧ + 2) and {(Lower abdominal pain) or (Diarrhea)} and {(A / G ≦ -2) or (ZTT ≧ + 2) or (Total protein ≧ + 1)
Or (blood sediment ≧ + 2) or (CRP ≧ + 2) or (white blood cell ≧
+2) or (bloody stool ≧ + 1) more than 2}. (n) (monocytes ≥ +2) and [(white blood cells ≤ -2) or (Hb ≤ -2)
Or (total protein ≧ + 2) or (Raynaud's symptom ≧ + 1) or (joint pain ≧ + 1) or {(TPHA = OK) and (glass plate method ≧ + 1)} more than two]. (p) (Monocytes ≥ +2) and (other than above). (Note) Hb: Hemoglobin (hemocyte count) CRP: C-reactive protein (serum test) RA: RA test (serum test) HBsAg: HBs antigen (RPHA) (serum test) TPHA: (syphilis) Glass plate method: ( Syphilis) ZTT: Kunkel (liver function) A / G: Albumin / globulin ratio (liver function) Other than the above: For the same test item as the test item in the immediately preceding condition, the range is outside the range of the immediately preceding condition.

(2) Judgment of Condition Group The authenticity of each condition group is judged for each judgment range of the inspection item therein. For example, in the case of (e) above, the judgment is made in the following order. (i) Does the monocyte satisfy ≧ + 2? (ii) (CRP ≧ + 2) or (blood sedimentation ≧ + 2) or (fever = +
Do you meet two or more of 1) or (sputum ≧ + 1) or (cough ≧ + 1) or (XP / abnormal shadow)?

The condition of each judgment range is set to 1 and the condition is not satisfied to 0. By representing the determination result by incrementing the integer variable P, it is possible to determine whether or not the condition group is satisfied only by comparing the sizes of the variables P. For example, in the above condition group (e),
If the condition (i) (monocyte ≧ + 2) is satisfied, P = P + 10
And if each condition of (ii) is satisfied, then P = P + 1. Since the condition (ii) must satisfy two or more conditions, if P ≧ 1 × 10 + 2 × 1 then the condition group
It means that (e) is satisfied.

As a more complicated example, Table 3 below shows the determination method for the following example similar to (j) above. Variable P
Is incremented, and the truth or false of the condition group is determined from the size of the value.

Table 3 Condition groups (monocytes ≧ + 2) and {(joint pain ≧ + 2) or (joint swelling ≧
＋2)} and {(RA ≧ + 1) or (blood sediment ≧ + 2) or (Hb
Two or more of ≧ + 1) or (CRP ≧ + 2)}. Preprocessing P = 0. If monocyte ≧ + 2, then P = P + 100. If joint pain ≧ + 2, then P = P + 10. If joint swelling ≧ + 2, then P = P + 10. If RA ≧ + 1, then P = P + 1. If blood sedimentation ≧ + 2, P = P + 1. If Hb ≧ + 1, then P = P + 1. If CRP ≧ + 2, then P = P + 1. Condition group determination P ≧ 112

In this example, one variable to be incremented is used, but since there are a plurality of condition groups, P1, P2 ... To judge all condition groups.
Pn and multiple uses are required.

[3] Judgment Engine Means (1) Database of Judgment Results The judgment results by the above condition groups consist of a list of findings / propensities, causes and comments of diseases from the third memory means 33 in the memory means 3. Draw a database and fill in the blanks in the judgment result list. This function is the judgment engine means 2
3.

Table 4 below shows some examples of findings and trends of diseases.
Shown in. Table 4 No. Findings / Trends 001 Hemolysis 002 Chylomicron 003 Positive atypical antibody reaction 004 Small number of positive Rh negative reaction 005 Decreased blood sedimentation (1h) value ・ ・ ・ ・ ・ ・ ・

Some examples of the causes of the disease are shown in Table 5 below. Table 5 No. Cause 01 Polycythemia 02 Cold syndrome 03 Gingivitis 04 Cutaneous purulent lesion 05 Anemia 06 Nephrotic syndrome 07 Rheumatoid arthritis ・ ・ ・ ・ ・ ・ ・

Some examples of disease comments are shown in Table 6 below. Table 6 No. Comment 001 Sugar load test is required. 002 We need to improve our lives. 003 A diagnosis by a physician is required. 004 Testing for abnormal hemoglobin is required. 005 Plasma protein fractionation test required. 006 A hemolysis test is required. 007 Hepatitis C virus antibody test is required.・ ・ ・ ・ ・ ・ ・

[2] Creation of Judgment Result List With reference to the list of findings / propensities, causes and comments of diseases, the judgment result list in Table 7 is shown in the judgment result list by taking the judgment results by the condition group in Table 2 as an example.

Table 7 Conditions Disease Group (Findings / Trends) Level Cause Comments (a) Decrease in monocyte count E Malignant anemia Monocyte and phagocytosis (b) Decrease in monocyte count B − Strong immune response (c) Increase in monocyte count D Some type of important white blood cell infection. (d) Increase in monocyte count B- (e) Increase in monocyte count E Some infection (f) Increase in monocyte count E Chronic infection (g) Increase in monocyte count E Chronic infection (h) Monocyte Increase in the number D Some kind of infection (i) Increase in the number of monocytes C2 Hepatocyte disorder (j) Increase in the number of monocytes E Chronic rheumatoid arthritis (k) Increase in the number of monocytes E Sarcoidosis (m) Increase in the number of monocytes E Large intestine Inflammation (n) increase in monocyte count E some connective tissue damage (p) increase in monocyte count D some infection

Although Table 7 above is a judgment result list relating to the test item of monocytes, since there are many test items in fact, the judgment result list refers to the possibility of all diseases. As an example, Table 8 below shows a part of the determination result list.

Table 8 Test Items Findings / Propensity Classification Judgment Level Monocyte Increase in monocyte count 12 E Systolic blood pressure Increase in systolic blood pressure 2 E Fasting blood glucose / HbA _1c diabetes 13 C 2 Total protein / A / G ratio Plasma protein Fractional abnormality 20 E Uric acid Hypouricemia 15 D

Table 8 (continued) Cause Comment Rheumatoid arthritis Please have a detailed examination. Obesity and lack of exercise Try to lose weight. Requires moderate exercise. Obesity and alcohol Be careful not to drink too much alcohol. − It is also possible that kidney stones develop. -A plasma protein fractionation test is required.

All diseases are 1-2 depending on site / major disease
Classified as 0. In addition, the same disease may be classified separately. For example, “elevation of ZTT value” may be classified as “connective tissue disorder” or “other metabolic disorder”. The work of putting together each “disease” determination into 1 to 20 is called site-specific determination. If there are multiple judgments at the same site, the worst one is adopted.

Since there are a plurality of sets of other inspection items to be combined with each inspection item, a plurality of condition groups can be formed for each inspection item. However, the results (discovery / propensity of the disease, judgment level, cause, and comments) derived from the judgments of several condition groups may be duplicated, and therefore the results must be sorted out so that contradictory results do not occur.

This sorting is performed by the judgment engine means. First, the judgment result of a certain condition group (discovery of disease,
When the tendency, the judgment level, the cause, and the comment are given, they are entered in the judgment result list. If the judgment result of the same disease already exists at that time, the judgment levels are compared. If the judgment level of the judgment result already entered is higher than the judgment level of the new judgment result, the new judgment result should be entered. On the other hand, if the judgment level of the new judgment result is higher than the judgment level of the judgment result which has already been entered, the judgment result is replaced with a new one.

Since the judgment results are entered in the judgment result list in this way, even if a plurality of condition groups are associated with one disease, no duplication occurs in the diagnosis result matrix.

The results entered in the judgment result list in Table 8 are actually only the findings / propensities, causes and codes of comments, and the actual comment words are the third storage means 3.
It is a textual representation of the words and phrases extracted from the database of No. 3.

(3) Creation of Judgment Result After completion of the judgment of the truth or falseness with respect to all condition groups and the corresponding entry in the judgment result list, the comment code from the comment master stored in the third storage means 33 By extracting and synthesizing the comment term and the connecting term phrase corresponding to the determination level, a comment completed as a sentence is created for each disease.

For example, taking the column of diabetes in Table 8 as an example,
If the corresponding comment phrase for the judgment level “C2” is “I can recognize it, please have it re-examined within 1 month.”, The example of the comment created is “fasting blood sugar / HbA
_From the values such as _1c , the finding of diabetes is recognized, so 1
Please re-examine within a month. It may be caused by obesity or alcohol. Please be careful not to drink too much. It will be.

If there were no abnormalities in all the inspection items, a sentence stating that there were no abnormalities in the Findings / Trends column, for example, "No abnormalities were found in today's consultation. Is printed.

When the diagnostic results are also output in the form of a table, the diseases are classified into 20 classes, and the rows of the judgment levels (A, B, C, D, E, F) for the diseases of each class are displayed. It is only necessary to create a matrix having the above and enter "○" or the like in a predetermined column of the obtained table. Some examples of such tables are shown in Table 9 below.

Table 9 1 2 3 4 5 ・ ・ ・Level circulatory system Hypertension Respiratory system Gastrointestinal liver A ◎ B ○ C D E × × F × Note: There is no abnormality. B There are findings, but don't worry. C observation is required. D Re-inspection is required. E A detailed inspection is required. F treatment is required.

[4] Output Means The findings, trends, causes and comments judged by the above process are converted into a complete sentence form through the output means 4 (printer, floppy disk drive, etc.) of FIG. Output to the desired media.

[5] System Flowchart FIG. 2 shows a flowchart for operating the medical diagnostic system of the present invention. First, the judgment range is determined (step 1
1) and n = 1 (step 12). Second storage means 32
Assuming that the condition groups stored in the condition group are condition group 1, condition group 2 ... Condition group N, the condition group determination means 22 first determines whether or not the condition group 1 is satisfied (step 13). If the result is YES, go to A. If NO, read B shown in FIG.
Calculation of n = n + 1 is performed (step 14), and it is determined whether n is larger than N (step 15). In the case of NO, the process returns to step 13 and the condition group 2 is determined. In this way
When the determination is performed up to n = N, n = N + 1 is entered in step 15, and the formula n> N is satisfied. Then, the determination result is YES and the determination result is output (step 16).

As shown in FIG. 3, in the case of A, the judgment result (finding / propensity, cause and comment) of the nth condition group is read from the database of the third storage means 33 (step 21). Next, it is determined whether the determination result for the same disease has not been entered in the determination result list (step 22). If not entered, the judgment result is accumulated (filled) in the judgment result list (step 23). On the other hand, if it has already been entered, it is determined whether the determination level of the existing determination result is lower than the determination level of the new determination result (step 24). If the determination level of the existing determination result is lower than the determination level of the new determination result, the new determination result is accumulated (filled) in the determination result list to delete the lower determination level (step 2).
3). That is, the existing determination result is overwritten with the new determination result. On the other hand, if the judgment level of the existing judgment result is higher than the judgment level of the new judgment result, the new judgment result is not entered.

After the judgment result list up to the n-th condition group is created in this way, as shown in the flow chart of FIG. 2, judgment is made for the (n + 1) -th condition group (step 13), and n = Repeat until N.
According to this flowchart, all condition groups 1, 2 ...
.. Since N is judged, the judgment result finally obtained is the result of checking all inspection items.

[0053]

As described above in detail, in the medical diagnostic system of the present invention, if the work of inputting the data of inquiry, examination and examination to the computer is performed, the diagnosis and the determination can be performed in the computer system. The accuracy and efficiency of diagnosis and determination can be kept high, and the workload of the diagnostician or the determining physician can be greatly reduced. Since the condition group consists of a combination of judgment ranges of related test items, the same disease name, cause, comment, etc. may be derived in duplicate, but this duplication can be organized by the judgment engine. As a result, a disease can be diagnosed by almost the same method as a doctor actually thinks of a diagnosis.

Further, the diagnosis and judgment results can be provided to the patient or the examinee in the form of a detailed and easy-to-understand sentence. Furthermore, since the logical structure is simple and the amount of processing is small,
Even a small-scale device using a personal computer can process at a sufficient speed.

[Brief description of drawings]

FIG. 1 is a block diagram showing a medical diagnostic system according to an embodiment of the present invention.

FIG. 2 is a flowchart for operating a medical diagnostic system according to an embodiment of the present invention.

FIG. 3 is a flowchart for operating a medical diagnostic system according to an embodiment of the present invention.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 ... Input means 2 ... Judgment means 21 ... Judgment range determination means 22 ... Condition group judgment means 23 ... Judgment engine means 3 ... Storage means 31 ... First storage means (Judgment range) 32 ... Second storage means (condition group) 33 ... Third storage means (database) 4 ... Output means

Claims (8)

[Claims] [Claim 1] (a) a means for inputting data of an inspection item taken by any method of inquiry, medical examination, and inspection, and (b) each input data corresponds to a predetermined number of judgment ranges Means for determining whether or not, (c) a condition group determination means for determining whether or not the condition group of the determination range for one or more test items related to each disease is satisfied,
(d) A list is created that summarizes the judgment results when each condition group is satisfied, and when different judgment results are obtained for the same disease, the judgment result of the more severe symptom is entered. A medical diagnostic system comprising a judgment engine means and (e) means for outputting the contents of the judgment result list. 2. The medical diagnostic system according to claim 1, wherein the condition group includes each test item and other necessary test items so that all diseases related to each test item can be determined. A medical diagnostic system characterized by: 3. The medical diagnostic system according to claim 1 or 2, wherein the determination range of each inspection item is classified into (2n + 1) sets from -n to + n with the normal state set to 0. A medical diagnostic system characterized by: 4. The medical diagnostic system according to any one of claims 1 to 3, wherein if there are one or a plurality of inspection items to be satisfied alternatively or redundantly in each condition group, those conditions are set to O.
When the R or AND is combined into one or a plurality of OR or AND groups, and all the inspection items connected in parallel by the AND and the conditions of the OR or AND group are satisfied, the determination result is output. Characteristic medical diagnostic system. 5. The medical diagnostic system according to any one of claims 1 to 4, wherein the test items connected in parallel by AND and the determination result of the OR or AND group are displayed with different digits. A medical diagnostic system characterized by making a judgment of a condition group by comparing it with a numerical value of a predetermined digit number. 6. The medical diagnostic system according to any one of claims 1 to 5, wherein the determination result includes findings / propensity of the disease, a determination level, a cause and a comment, and the determination result list determines the same disease. If the result has already been entered, the judgment engine means compares the judgment levels, and if the new judgment result represents a heavier symptom than the judgment result already in the judgment result list, the new judgment result is displayed. A medical diagnostic system characterized by being replaced with. 7. The medical diagnostic system according to any one of claims 1 to 6, wherein the output means outputs the contents of the determination result list in a normal text format. 8. (a) A means for inputting data of an inspection item taken by any method of inquiry, consultation and inspection, and (b) a possible value of each inspection item is classified into a predetermined number of judgment ranges. The first storage means for storing the determination range data, and (c) the input data is compared with the determination range data read from the first storage means to determine which determination range is applicable. Means, (d) second storage means for storing a condition group of the determination range of one or more test items related to each disease, and (e) the determination range of the input data is the second Condition group determination means for determining whether to satisfy the condition group read from the storage means, (f) findings / propensity of the disease to be output as a determination result when each condition group is satisfied, the determination level, the cause and Store comment data (3) a list of judgment results is created using the data of findings / propensity, judgment level, cause and comment of the disease read from the third storage means, and (g) different for the same disease. When the judgment result is obtained, the judgment engine means for entering the judgment result of the one with severe symptoms, and (h)
And a unit for outputting the contents of the judgment result list in the judgment engine unit in the form of a normal sentence.