发明公开
- 专利标题: COGNITIVE CARDIAC AUSCULTATION BASED ON MULTIMODALITY AND CONTRASTIVE LEARNING
-
申请号: US18190247申请日: 2023-03-27
-
公开(公告)号: US20240331824A1公开(公告)日: 2024-10-03
- 发明人: Si Tong Zhao , Li Juan Gao , Yuan Yuan Ding , Tong Liu
- 申请人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 申请人地址: US NY ARMONK
- 专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人地址: US NY ARMONK
- 主分类号: G16H20/00
- IPC分类号: G16H20/00 ; G16H40/67 ; G16H50/20
摘要:
A method, computer program product, and computer system are provided for predicting treatment options based on cardiac auscultation data. Text data and audio data corresponding to cardiac auscultation associated with a patient is received. The text data and the audio data are encoded as respective text vectors and audio vectors. A distance between the text vectors and the audio vectors is calculated. Diagnosis results are determined by a machine learning model based on the calculated distance between the text vectors and the audio vectors.
信息查询