Medical diagnosis support apparatus and method of controlling the same

• US 9,361,580 B2
• Filed: 01/25/2013
• Issued: 06/07/2016
• Est. Priority Date: 02/14/2012
• Status: Active Grant

• Current Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Original Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Inventors: Kawagishi, Masami
• Primary Examiner(s): Hill, Stanley K
• Assistant Examiner(s): Misir, Dave
• Application Number:
  US13/749,942
• Publication Number:
  US 20130212056A1
• Time in Patent Office: 1,229 Days
• Field of Search: 705/2, 706/46, 706/52
• US Class Current: 1/1
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A medical diagnosis support apparatus is provided. In the medical diagnosis support apparatus, an acquisition unit acquires medical information associated with a diagnosis target as input information. An inference unit infers a diagnosis name of the diagnosis target based on the acquired input information. A calculation unit calculates the influence rate of each input information with respect to each inference. A creation unit creates a report sentence based on the calculated influence rate.

Claims

1. A medical diagnosis support apparatus which provides information for supporting medical diagnosis, the apparatus comprising:

at least one CPU and a memory operatively coupled to function as;

an acquisition unit configured to acquire medical information associated with a diagnosis target as input information;

an inference unit configured to infer a diagnosis name of the diagnosis target as an inference result based on the acquired input information, wherein the diagnosis name exhibits a highest inference probability;

a calculation unit configured to calculate an influence rate of the acquired input information with respect to each inference; and

a creation unit configured to create a report sentence based on the calculated influence rate,

wherein the creation unit is configured to select terms from the input information,

wherein the creation unit is configured to

select a first set of terms from the input information, each of the first set of terms having an influence rate equal to or less than a first threshold concerning negative influences, and select a second set of terms from the input information, each of the second set of terms having an influence rate equal to or more than a second threshold concerning positive influences,

select a first predetermined number of terms, from the first set of terms, to be applied to the report sentence in descending or ascending order of negative influence rate on the inference result, and select a second predetermined number of terms, from the second set of terms, to be applied to the report sentence in descending or ascending order of positive influence rate on the inference result, and

determine an order of writing of the selected first and second predetermined number of terms based on the descending or ascending order of the negative influence rate and the descending or ascending order of the positive influence rate, and change a modification structure of the selected first and second predetermined number of terms based on whether terms written in the report sentence have a positive influence rate on the inference result or a negative influence rate on the inference result.

2. A method of controlling a medical diagnosis support apparatus which provides information for supporting medical diagnosis, the method comprising the steps of:

acquiring medical information associated with a diagnosis target as input information;

inferring a diagnosis name of the diagnosis target as an inference result based on the acquired input information, wherein the diagnosis name exhibits a highest inference probability;

calculating an influence rate of the acquired input information with respect to each inference; and

creating a report sentence based on the calculated influence rate,

wherein the creating step includes selecting terms from the input information, and

wherein, in the creating step, terms are selected to be applied to the report sentence based on the calculated influence rate and an order of writing of the selected terms is determined based on the descending or ascending order of the negative influence rate and the descending or ascending order of the positive influence rate, and change a modification structure of the selected first and second predetermined number of terms based on whether terms written in the report sentence have a positive influence rate on the inference result or a negative influence rate on the inference result.

3. A non-transitory computer readable storage medium storing a program for controlling a medical diagnosis support apparatus including a computer executing the program, the program comprising code for performing the following steps:

acquiring medical information associated with a diagnosis target as an interference result as input information, wherein the diagnosis name exhibits a highest inference probability;

inferring a diagnosis name of the diagnosis target based on the acquired input information;

calculating an influence rate of the acquired input information with respect to each inference; and

creating a report sentence based on the calculated influence rate,

wherein the creating step includes selecting terms from the input information, and

wherein, in the creating step, terms are selected to be applied to the report sentence based on the calculated influence rate and an order of writing of the selected terms is determined based on the descending or ascending order of the negative influence rate and the descending or ascending order of the positive influence rate, and change a modification structure of the selected first and second predetermined number of terms based on whether terms written in the report sentence have a positive influence rate on the inference result or a negative influence rate on the inference result.