DIAGNOSIS SUPPORT SYSTEM, DIAGNOSIS SUPPORT METHOD THEREFOR, AND INFORMATION PROCESSING APPARATUS

• US 20110022553A1
• Filed: 09/29/2010
• Published: 01/27/2011
• Est. Priority Date: 06/03/2009
• Status: Abandoned Application

• Current Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Original Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Inventors: Yonezawa, Keiko
• Application Number:
  US12/893,989
• Publication Number:
  US 20110022553A1
• Time in Patent Office: Days
• US Class Current: 706/12
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/025 Extracting rules from data
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 70/20 relating to practices or guidelines

Abstract

A diagnosis support system includes a learning unit which calculates a first learning result based on diagnosis results on case data which are obtained by a plurality of doctors and a second learning result based on a diagnosis result on the case data which is obtained by a specific doctor, an analysis unit which analyzes a feature associated with diagnosis by the specific doctor based on a comparison between the first learning result and the second learning result, and a decision unit which decides display information of clinical data obtained by examination of a patient based on the analysis result.

Claims

1. A diagnosis support system comprising:

a learning unit configured to calculate a first learning result based on diagnosis results of case data diagnosed by a plurality of doctors and a second learning result based on a diagnosis result of the case data diagnosed by a specific doctor;

an analysis unit configured to analyze a feature associated with diagnosis by the specific doctor based on a comparison between the first learning result and the second learning result; and

a decision unit configured to decide display information of clinical data obtained by examination of a patient based on the analysis result.

2. A diagnosis support system comprising:

an input unit configured to input identification information for identifying a doctor;

a learning unit configured to calculate a first learning result based on diagnosis results of case data diagnosed by a plurality of doctors and a second learning result based on a diagnosis result of the case data diagnosed by a doctor corresponding to the identification information input by said input unit;

an analysis unit configured to analyze a feature associated with diagnosis by the doctor corresponding to the identification information input by said input unit based on a comparison between the first learning result and the second learning result;

a clinical data acquisition unit configured to acquire clinical data obtained by examination of a patient;

a decision unit configured to decide display information of the clinical data based on the analysis result; and

a display processing unit configured to display, on a display device, a display window based on the display information decided by said decision unit.

3. The diagnosis support system according to claim 2, further comprising:

a classification unit configured to classify the case data into a plurality of categories by using the first learning result and the second learning result; and

an identification unit configured to identify a specific one of the categories classified by said classification unit to which the clinical data belongs, based on a feature amount of the clinical data and a feature amount of the case data,

wherein said classification unit classifies the case data into a plurality of categories including a first category to which a case group accurately diagnosed by the doctor corresponding to the identification information input by said input unit belongs and a second category to which an erroneously diagnosed case group belongs,

said analysis unit specifies significant examination information for helping diagnosis by the doctor corresponding to the identification information input by said input unit, based on the case groups classified to the first category and the second category, and

said decision unit decides the display information based on the examination information specified by said analysis unit when said identification unit identifies that the clinical data belongs to the second category.

4. The diagnosis support system according to claim 3, further comprising a clustering unit configured to classify case data classified to the second category by said classification unit into a plurality of clusters,

wherein said identification unit identifies a specific one of the plurality of clusters to which the clinical data belongs, based on a feature amount of the clinical data and a feature amount of the case data, when the clinical data acquired by said clinical data acquisition unit belongs to the second category, and

said decision unit decides the display information based on the examination information specified by said analysis unit in correspondence with a cluster of the second category, when said identification unit identifies that the clinical data belongs to the second category.

5. The diagnosis support system according to claim 3, wherein said classification unit uses the first learning result, based on diagnosis results of the case data diagnosed by a plurality of doctors, to classify the case data to a third category to which a case group differently diagnosed by the plurality of doctors belongs,

said analysis unit specifies significant examination information for helping diagnosis by the doctor corresponding to the identification information input by said input unit, based on the case group classified to the third category, and

said decision unit decides the display information based on the examination information specified by said analysis unit, when said identification unit identifies that the clinical data belongs to the third category.

6. The diagnosis support system according to claim 3, wherein the clinical data includes a plurality of examination results obtained by examining the patient by using a plurality of modalities, and

the examination information includes at least one of information indicating one of the plurality of examination results, information indicating by which one of the plurality of modalities examination has been performed, and information indicating a plurality of imaged portions obtained by examination using the modalities or one of the imaged portions.

7. A diagnosis support method for a diagnosis support system, comprising the steps of:

calculating a first learning result based on diagnosis results of case data diagnosed by a plurality of doctors and a second learning result based on a diagnosis result of the case data diagnosed by a specific doctor;

analyzing a feature associated with diagnosis by the specific doctor based on a comparison between the first learning result and the second learning result; and

deciding display information of clinical data obtained by examination of a patient based on the analysis result.

8. An information processing apparatus comprising:

an input unit configured to input identification information for identifying a doctor;

a learning unit configured to calculate a first learning result based on diagnosis results of case data diagnosed by a plurality of doctors and a second learning result based on a diagnosis result of the case data diagnosed by a specific doctor corresponding to identification information input by said input unit; and

an analysis unit configured to analyze a feature associated with diagnosis by the specific doctor based on a comparison between the first learning result and the second learning result.

9. An information processing apparatus comprising:

an input unit configured to input identification information for identifying a doctor;

a clinical data acquisition unit configured to acquire clinical data obtained by examination of a patient;

a decision unit configured to decide display information of the clinical data based on a result of analyzing a feature associated with diagnosis by a specific doctor corresponding to identification information input by said input unit by comparing a first learning result based on diagnosis results of case data diagnosed by a plurality of doctors and a second learning result based on a diagnosis result of the case data diagnosed by the specific doctor; and

a display processing unit configured to display, on a display device, a display window based on display information decided by said decision unit.