CN103164616A - Intelligent hospital guide system and intelligent hospital guide method - Google Patents

Intelligent hospital guide system and intelligent hospital guide method Download PDF

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Publication number
CN103164616A
CN103164616A CN2013100427534A CN201310042753A CN103164616A CN 103164616 A CN103164616 A CN 103164616A CN 2013100427534 A CN2013100427534 A CN 2013100427534A CN 201310042753 A CN201310042753 A CN 201310042753A CN 103164616 A CN103164616 A CN 103164616A
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disease
illness
hospital guide
display unit
according
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CN2013100427534A
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Chinese (zh)
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尉建锋
叶建统
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杭州卓健信息科技有限公司
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Priority to CN2013100427534A priority Critical patent/CN103164616A/en
Publication of CN103164616A publication Critical patent/CN103164616A/en

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Abstract

The invention discloses an intelligent hospital guide system and an intelligent hospital guide method. The intelligent hospital guide system comprises a hospital guide client end system and a hospital guide server end system, wherein the hospital guide client end system comprises a basic information input unit, an anthropometric dummy picture unit, a symptom list display unit, an interrogation diagnosis question display unit, a symptom information storing unit, a symptom management unit, a disease display unit and a department display unit. The hospital guide server end system comprises a symptom list generating module, a disease database, an interrogation diagnosis question generating module, a disease judging module and a department inquiry module. The hospital guide method comprises that a user selects a symptom portion, the symptom contingent probability of each disease is inquired in an interrogation diagnosis question answering mode, then the probability of each possible disease is calculated, and the possible diseases are sequenced. By means of the hospital guide system, the doctor interrogation diagnosis process is programmed, the user is helped to carry out preliminary disease self-inspection, a department where the user go to ask a doctor is guided for the user, and the patient can obtain correction guiding for seeing the doctor.

Description

A kind of intelligent diagnosis guiding system and method

Technical field

The present invention relates to the internet information process field, particularly a kind of intelligent diagnosis guiding system and method for the internet.

The present invention relates in addition a kind of intelligent interrogation system and method.Particularly, according to patient's illness, intelligence generates and the corresponding interrogation topic of illness.

The present invention relates in addition a kind of disease judgement system and method for intelligence.Particularly, according to the possible disease of symptom information intelligent judgement.

Background technology

Traditional flow process of seeing a doctor is to find medical section office according to disease.But the patient only knows the illness (where uncomfortable, severe degree, how long) of oneself, but and unclear be what disease, what section this hangs.So can tentatively judge patient disease in the urgent need to a kind of, and guide the system of the corresponding section office of seeking medical advice of patient.

The doctor can judge the possible disease group of patient according to certain illness when interrogation, but certain symptom may be the common performance of various diseases, so judge that according to a certain symptom disease is inaccurate.Therefore the doctor needs further interrogation such as the complication of certain disease, the cause of disease, medical history, the history of life, hereditary history etc., and these are the key factors that accurately judge certain disease.

Due to the uncertainty of symptom, namely symptom may be that various disease causes and same disease can show different clinical symptoms, and this situation makes the difficulty of computer realization disease judgement.In existing diagnosis guiding system, be mainly that illness a certain according to the patient judges the possibility disease on market.This mode has only been accomplished the first step of judgement disease, does not consider patient's the concrete state of an illness, makes result produce deviation.Because existing technology is difficult to simulate the sight of doctor's interrogation, and according to the possible probability of interrogation result judgement disease.

Summary of the invention

The present invention has overcome above-mentioned the deficiencies in the prior art, and a kind of internet intelligent hospital guide's system and method is provided, and process and the sequencing of disease deterministic process with doctor's interrogation realize intelligent hospital guide.

Technical scheme of the present invention is achieved in that

A kind of intelligent diagnosis guiding system comprises hospital guide's client and hospital guide's service end system;

Described hospital guide's client comprises: essential information input block, manikin figure unit, illness list display unit, interrogation topic display unit, illness information memory cell, illness administrative unit, disease display unit, section office's display unit;

Described hospital guide's service end system comprises: illness list generation module, disease database, interrogation topic generation module, disease judge module, section office's enquiry module;

Wherein, in hospital guide's client,

Essential information input block: the sex, the age information that are used for gathering the patient; After having gathered, jump to manikin figure unit;

Manikin figure unit: be used for showing human body figure and list, select the position of disease for the user;

Illness list display unit: be used for showing the illness list of certain position of disease, select according to s own situation for the user;

Interrogation topic display unit: be used for gathering complication, the cause of disease, medical history, hereditary history, the habits and customs of illness, draw the illness that comprises accordingly answer;

Illness storage unit: the answer information that is used for buffer memory patient essential information, illness information and interrogation topic;

Illness administrative unit: the illness information that is used for managing above-mentioned illness storage unit; Can delete and add operation the illness information in the illness storage unit;

Disease display unit: be used for receiving disease judged result and the demonstration that hospital guide's service end system judges and sends;

Section office's display unit: be used for showing the corresponding section office information that inquires according to disease;

In hospital guide's service end system,

Illness list generation module: be used for the information of recipient's body Model figure unit, inquire about all illnesss at this position according to the position of disease that the user selects, and send to the illness list display unit;

Disease database has comprised the corresponding disease information of each illness;

Interrogation topic generation module is used for generating the interrogation topic according to illness, and is sent to interrogation topic display unit, and the interrogation topic relates to complication, the cause of disease, medical history, hereditary history, habits and customs, with simulation doctor interrogation;

The disease judge module is used for from the information extraction of illness storage unit, and according to user's illness information and the possible disease of answer information judgement of interrogation topic, and sorts according to P, and is sent in the disease display unit and shows;

Section office's enquiry module is used for according to the disease inquiry section office corresponding with disease, and is sent to section office's display unit and shows.

A kind of intelligent hospital guide's method comprises the steps:

(1), the user fills in essential information at the essential information input block, and information is saved in the illness storage unit;

(2), call the manikin unit, the user sees manikin figure and position list, selects corresponding position of disease, sends the request with positional parameter;

(3), hospital guide's server system receives the request with positional parameter, and illness list generation module inquires all illnesss at this position according to positional parameter, send to hospital guide's client;

(4), hospital guide's client is obtained the illness list and is shown in the illness list display unit, and the user sees all symptom lists at this position, selects corresponding symptom, sends the request with the illness parameter;

(5), hospital guide's server system receives the request with the illness parameter, inquires about all possible disease group of screening from disease database according to the illness parameter;

(6), the interrogation of hospital guide's server system topic generation module generates the interrogation topic according to possible disease group's complication, the cause of disease, medical history, hereditary history, habits and customs, sends to hospital guide's client;

(7), interrogation topic display unit receives the interrogation topic, and the user sees the interrogation topic relevant to illness, selects corresponding answer;

(8), hospital guide's client is saved in the illness storage unit with the answer information of interrogation topic;

(9), the user sees the illness that comprises answer;

(10), the user can operate the illness of above-mentioned generation, and deletion or interpolation if continue to add, jump to step (2), do not add entering next step;

(11), after the user confirms illness, hospital guide's server system receives the illness that comprises answer, the disease judge module is according to all possible disease group of age level inquiry screening at illness, sex and age place, and each disease has corresponding prior probability, then finds the symptom conditional probability of each disease according to the answer information of interrogation topic, calculate the probability of each possibility disease according to Bayesian formula, be posterior probability, then may disease sort, send to client;

(12), the disease display unit obtains and may list of diseases also show, the user selects a possible disease, sends the request with disease parameters;

(13), hospital guide's server system receives the request with disease parameters, inquires about according to disease the section office of seeking medical advice accordingly, sends to hospital guide's client;

(14), section office's display unit obtains section office's information and is shown to the user.

As preferably, the concrete grammar of step (11) is:

(1), generate possible disease group according to illness; The illness that namely sends according to the user is searched the disease that this illness is arranged in disease database;

(2), search the possible disease group of screening according to user's illness, sex, age level in disease database; Possible symptom according to the disease group generates the interrogation topic simultaneously; The interrogation topic has contained complication, the cause of disease, medical history, hereditary history, the habits and customs of disease;

(3), find out the prior probability of each possibility disease, according to the interrogation topic answer information that the user selects, find the conditional probability of the illness of each disease; Calculate the posterior probability of each disease according to Bayesian formula;

(4), the numerical value height according to the posterior probability of disease sorts.

Adopted the invention has the beneficial effects as follows of technique scheme:

Diagnosis guiding system provided by the invention can help the user to carry out preliminary disease self check the process programming of doctor's interrogation, and guides the section office of seeking medical advice.

Diagnosis guiding system provided by the invention and method have fully taken into account patient's the state of an illness, have reduced deviation, make hospitalize obtain accurate instruction.

Description of drawings

Fig. 1 is the structural representation of diagnosis guiding system of the present invention;

Fig. 2 is the process flow diagram of hospital guide's method of the present invention;

Fig. 3 is the process flow diagram of hospital guide's method in the embodiment of the present invention.

Embodiment

The specific embodiment of the present invention is as follows:

Embodiment: a kind of intelligent diagnosis guiding system, as shown in Figure 1, comprise hospital guide's client and hospital guide's service end system, hospital guide's client is mobile phone, PAD, PC etc., it accesses hospital guide's service end system by http protocol;

Described hospital guide's client comprises: essential information input block, manikin figure unit, illness list display unit, interrogation topic display unit, illness information memory cell, illness administrative unit, disease display unit, section office's display unit;

Described hospital guide's service end system comprises: illness list generation module, disease database, interrogation topic generation module, disease judge module, section office's enquiry module;

Wherein, in hospital guide's client,

Essential information input block: the sex, the age information that are used for gathering the patient; After having gathered, jump to manikin figure unit;

Manikin figure unit: be used for showing human body figure and list, select the position of disease for the user;

Illness list display unit: be used for showing the illness list of certain position of disease, select according to s own situation for the user;

Interrogation topic display unit: be used for gathering complication, the cause of disease, medical history, hereditary history, the habits and customs of illness, draw the illness that comprises accordingly answer;

Illness storage unit: the answer information that is used for buffer memory patient essential information, illness information and interrogation topic;

Illness administrative unit: the illness information that is used for managing above-mentioned illness storage unit; Can delete and add operation the illness information in the illness storage unit;

Disease display unit: be used for receiving disease judged result and the demonstration that hospital guide's service end system judges and sends;

Section office's display unit: be used for showing the corresponding section office information that inquires according to disease;

In hospital guide's service end system,

Illness list generation module: be used for the information of recipient's body Model figure unit, inquire about all illnesss at this position according to the position of disease that the user selects, and send to the illness list display unit;

Disease database has comprised the corresponding disease information of each illness;

Interrogation topic generation module is used for generating the interrogation topic according to illness, and is sent to interrogation topic display unit, and the interrogation topic relates to complication, the cause of disease, medical history, hereditary history, habits and customs, with simulation doctor interrogation;

The disease judge module is used for from the information extraction of illness storage unit, and according to user's illness information and the possible disease of answer information judgement of interrogation topic, and sorts according to P, and is sent in the disease display unit and shows;

Section office's enquiry module is used for according to the disease inquiry section office corresponding with disease, and is sent to section office's display unit and shows.

A kind of intelligent hospital guide's method comprises the steps:

(1), the user fills in essential information at the essential information input block, and information is saved in the illness storage unit;

(2), call the manikin unit, the user sees manikin figure and position list, selects corresponding position of disease, sends the request with positional parameter;

(3), hospital guide's server system receives the request with positional parameter, and illness list generation module inquires all illnesss at this position according to positional parameter, send to hospital guide's client;

(4), hospital guide's client is obtained the illness list and is shown in the illness list display unit, and the user sees all symptom lists at this position, selects corresponding symptom, sends the request with the illness parameter;

(5), hospital guide's server system receives the request with the illness parameter, inquires about all possible disease group of screening from disease database according to the illness parameter;

(6), the interrogation of hospital guide's server system topic generation module generates the interrogation topic according to possible disease group's complication, the cause of disease, medical history, hereditary history, habits and customs, sends to hospital guide's client;

(7), interrogation topic display unit receives the interrogation topic, and the user sees the interrogation topic relevant to illness, selects corresponding answer;

(8), hospital guide's client is saved in the illness storage unit with the answer information of interrogation topic;

(9), the user sees the illness that comprises answer;

(10), the user can operate the illness of above-mentioned generation, and deletion or interpolation if continue to add, jump to step (2), do not add entering next step;

(11), after the user confirms illness, hospital guide's server system receives the illness that comprises answer, the disease judge module is according to all possible disease group of age level inquiry screening at illness, sex and age place, and each disease has corresponding prior probability, then finds the symptom conditional probability of each disease according to the answer information of interrogation topic, calculate the probability of each possibility disease according to Bayesian formula, be posterior probability, then may disease sort, send to client;

According to Bayes' theorem:

P ( H i | B ) = P ( H i ) × P ( B | H i ) Σ i = 1 n P ( H i ) × P ( B | H i )

H 1, H 2... H iThe disease that represents respectively the mutual exclusion of n kind, H iBe i disease;

P (H i) be H iPrior probability, i.e. the pathogenetic probability of disease, the disease H that the expression doctor grasps before concrete certain patient of diagnosis iIncidence;

B is a certain clinical manifestation of these disease antidiastoles or the combination of assay, the i.e. symptom of disease;

P (B|H i) be disease H iThe probability that occurs of symptom B; P (B|H i) be at known disease H iUnder condition, " conditional probability " that each symptom B occurs, i.e. the possibility of certain clinical symptoms B, it can easily obtain by the case of collecting sufficient amount;

P (H i| B) be symptom B prompting disease H iThe probability that occurs, i.e. posterior probability, when being illustrated in patient's symptom B and occurring, the disease that takes a disease H iPossibility.

For the situation that two or more symptoms exist, Bayes (Bayes) formula can be written as:

P ( H j | B 1 · B 2 · · · · · · B n ) = P ( H j ) · P ( B 1 | H j ) · P ( B 2 | H j ) · · · · · · P ( B n | H j ) Σ i = 1 n p ( H j ) · p ( B 1 | H j ) · p ( B 2 | H j ) · · · · · · p ( B n | H j )

j=1,2,…,n

Prior probability, thus can be pre-determined as approximate evaluation by list of references report and historical summary statistical frequency;

Conditional probability, thus can be pre-determined as approximate evaluation by list of references report and historical summary statistical frequency equally;

Applicating example: as shown in the table to the statistics of 1207 Appendicitis Patients in somewhere, by chronic appendicitis, acute appendicitis, appendicitis perforation three class statistics symptom frequencies (stomachache begins position, n and V, stool, body temperature, sign and physical examination result).

The prior probability that known chronic appendicitis H1, acute appendicitis H2, appendicitis perforation H3 occur is respectively: P (H1)=0.391, P (H2)=0.493, P (H3)=0.116;

An existing Appendicitis Patients, beginning epigastric pain, vomiting afterwards, diarrhoea. whole body tension of abdominal muscle, tenderness.

Obviously its symptom is B=B 13B 23B 33B 42B 51,

The large I of its P (Hj|B) (j=l, 2,3) is calculated by formula:

Wherein, P (B|Hj)=P (B 13B 23B 33B 42B 51| Hj)

=P(B 13|Hj)P(B 23|Hj)P(B 33|Hj)P(B 42|Hj)P(B 51|Hj)(j=l,2,3)

P(B|H1)=0.15×0.15×0.03×0.02×0.10=1.35×10 -6

P(H1)P(B|H1)=5.3×10 -7

Adjust together:

P(H2)P(B|H2)=3.8×10 -4

P(H3)P(B|H3)=2.3×10 -3

:

P(H1|B)=1%

P(H2|B)=14%

P(H3|B)=85%

So last diagnostic is appendicitis perforation H3.

Correspondence is exemplified below in the intelligent diagnosis guiding system of the present embodiment:

After the user confirmed illness, hospital guide's server system received the illness that comprises answer, and the disease judge module is according to all possible disease group of age level inquiry screening at illness, sex and age place, as chronic appendicitis, acute appendicitis, appendicitis perforation; The prior probability that occurs is respectively: P (H1)=0.391; P (H2)=0.493; P (H3)=0.116;

According to the performance of disease group's complication, the cause of disease, medical history, hereditary history, habits and customs, generate the interrogation topic, as:

1, stomachache beginning position? A, Right Lower Abdomen B, lower abdomen C, upper abdomen D, navel week E, full abdomen

2, is there there following symptom? A, the B that feels sick, vomiting C, n and V

3, is there there following symptom? A, the normal B that defecates, stool abnormity C, diarrhoea

4, tenderness place? A, Right Lower Abdomen B, greater than Right Lower Abdomen

5, is there there following symptom? A, muscle tonue B, Blumberg's sign

An existing patient, the beginning epigastric pain, n and V, suffer from diarrhoea afterwards, the whole body tension of abdominal muscle; The patient selects answer 1, C2, C3, C4, B5, A

As above shown in the table, corresponding symptom is B 13B 23B 33B 42B 51Inquire again the conditional probability P(B of the symptom of each disease according to the answer information of interrogation topic ij| H), it is as shown in the table:

The conditional probability of chronic appendicitis corresponds to: 0.150.150.030.020.10

The conditional probability of acute appendicitis corresponds to: 0.290.400.130.090.57

The conditional probability of appendicitis perforation corresponds to: 0.420.600.220.390.92

Calculate according to formula, final posterior probability is:

P (H 1| B)=1%, P (H 2| B)=14%, P (H 3| B=85%;

The list of diseases that after the sequence, the user may get is sequentially: appendicitis perforation, acute appendicitis, chronic appendicitis.

(12), the disease display unit obtains and may list of diseases also show, the user selects a possible disease, sends the request with disease parameters;

(13), hospital guide's server system receives the request with disease parameters, inquires about according to disease the section office of seeking medical advice accordingly, sends to hospital guide's client;

(14), section office's display unit obtains section office's information and is shown to the user.

Claims (3)

1. an intelligent diagnosis guiding system, is characterized in that: comprise hospital guide's client and hospital guide's service end system;
Described hospital guide's client comprises: essential information input block, manikin figure unit, illness list display unit, interrogation topic display unit, illness information memory cell, illness administrative unit, disease display unit, section office's display unit;
Described hospital guide's service end system comprises: illness list generation module, disease database, interrogation topic generation module, disease judge module, section office's enquiry module;
Wherein, in hospital guide's client,
Essential information input block: the sex, the age information that are used for gathering the patient; After having gathered, jump to manikin figure unit;
Manikin figure unit: be used for showing human body figure and list, select the position of disease for the user;
Illness list display unit: be used for showing the illness list of certain position of disease, select according to s own situation for the user;
Interrogation topic display unit: be used for gathering complication, the cause of disease, medical history, hereditary history, the habits and customs of illness, draw the illness that comprises accordingly answer;
Illness storage unit: the answer information that is used for buffer memory patient essential information, illness information and interrogation topic;
Illness administrative unit: the illness information that is used for managing above-mentioned illness storage unit; Can delete and add operation the illness information in the illness storage unit;
Disease display unit: be used for receiving disease judged result and the demonstration that hospital guide's service end system judges and sends;
Section office's display unit: be used for showing the corresponding section office information that inquires according to disease;
In hospital guide's service end system,
Illness list generation module: be used for the information of recipient's body Model figure unit, inquire about all illnesss at this position according to the position of disease that the user selects, and send to the illness list display unit;
Disease database has comprised the corresponding disease information of each illness;
Interrogation topic generation module is used for generating the interrogation topic according to illness, and is sent to interrogation topic display unit, and the interrogation topic relates to complication, the cause of disease, medical history, hereditary history, habits and customs, with simulation doctor interrogation;
The disease judge module is used for from the information extraction of illness storage unit, and according to user's illness information and the possible disease of answer information judgement of interrogation topic, and sorts according to P, and is sent in the disease display unit and shows;
Section office's enquiry module is used for according to the disease inquiry section office corresponding with disease, and is sent to section office's display unit and shows.
2. intelligent hospital guide's method, is characterized in that comprising the steps:
(1), the user fills in essential information at the essential information input block, and information is saved in the illness storage unit;
(2), call the manikin unit, the user sees manikin figure and position list, selects corresponding position of disease, sends the request with positional parameter;
(3), hospital guide's server system receives the request with positional parameter, and illness list generation module inquires all illnesss at this position according to positional parameter, send to hospital guide's client;
(4), hospital guide's client is obtained the illness list and is shown in the illness list display unit, and the user sees all symptom lists at this position, selects corresponding symptom, sends the request with the illness parameter;
(5), hospital guide's server system receives the request with the illness parameter, inquires about all possible disease group of screening from disease database according to the illness parameter;
(6), the interrogation of hospital guide's server system topic generation module generates the interrogation topic according to possible disease group's complication, the cause of disease, medical history, hereditary history, habits and customs, sends to hospital guide's client;
(7), interrogation topic display unit receives the interrogation topic, and the user sees the interrogation topic relevant to illness, selects corresponding answer;
(8), hospital guide's client is saved in the illness storage unit with the answer information of interrogation topic;
(9), the user sees the illness that comprises answer;
(10), the user can operate the illness of above-mentioned generation, and deletion or interpolation if continue to add, jump to step (2), do not add entering next step;
(11), after the user confirms illness, hospital guide's server system receives the illness that comprises answer, the disease judge module is according to all possible disease group of age level inquiry screening at illness, sex and age place, and each disease has corresponding prior probability, then finds the symptom conditional probability of each disease according to the answer information of interrogation topic, calculate the probability of each possibility disease according to Bayesian formula, be posterior probability, then may disease sort, send to client;
(12), the disease display unit obtains and may list of diseases also show, the user selects a possible disease, sends the request with disease parameters;
(13), hospital guide's server system receives the request with disease parameters, inquires about according to disease the section office of seeking medical advice accordingly, sends to hospital guide's client;
(14), section office's display unit obtains section office's information and is shown to the user.
3. a kind of intelligent hospital guide's method according to claim 2, it is characterized in that: the concrete grammar of step (11) is:
(1), generate possible disease group according to illness; The illness that namely sends according to the user is searched the disease that this illness is arranged in disease database;
(2), search the possible disease group of screening according to user's illness, sex, age level in disease database; Possible symptom according to the disease group generates the interrogation topic simultaneously; The interrogation topic has contained complication, the cause of disease, medical history, hereditary history, the habits and customs of disease;
(3), find out the prior probability of each possibility disease, according to the interrogation topic answer information that the user selects, find the conditional probability of the illness of each disease; Calculate the posterior probability of each disease according to Bayesian formula;
(4), the numerical value height according to the posterior probability of disease sorts.
CN2013100427534A 2013-02-02 2013-02-02 Intelligent hospital guide system and intelligent hospital guide method CN103164616A (en)

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