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MEDICAL RISK FACTORS EVALUATION

机译:医疗风险因素评估

摘要

A method, apparatus and computer program product for using machine learning to evaluate medical risks are described. A graphical user interface is provided for entering a set of patient symptoms for a first patient. A query is sent to a medical system containing the set of patient symptoms. A set of causal factors related to the patient symptoms and a set of association link strengths are received in response. Each association link strength is representative of a strength of a relationship between a respective patient symptom and a respective causal factor. The graphical user interface displays the set of patient symptoms and the set of causal factors according to the respective association link strength to show which causal factors have likely caused the patient symptoms for the first patient and are relevant for selecting among different treatment regimens. The association link strengths are calculated by a set of association link formulas learned by a machine learning system using a set of symptoms and a set of causal factors.
机译:描述了一种用于使用机器学习来评估医疗风险的方法,装置和计算机程序产品。提供了图形用户界面,用于输入第一位患者的一组患者症状。查询被发送到包含患者症状集的医疗系统。作为响应,接收到与患者症状有关的一组因果因素和一组关联链接强度。每个关联链接强度代表相应的患者症状和相应的因果关系之间的关系的强度。图形用户界面根据相应的关联链接强度显示一组患者症状和一组因果因素,以显示哪些因果因素可能对第一位患者造成了患者症状,并且与在不同治疗方案中进行选择相关。关联链接强度是由一组机器学习系统使用一组症状和一组因果因子学习到的一组关联链接公式来计算的。

著录项

  • 公开/公告号US2018101652A1

    专利类型

  • 公开/公告日2018-04-12

    原文格式PDF

  • 申请/专利权人 INTERNATIONAL BUSINESS MACHINES CORPORATION;

    申请/专利号US201615287409

  • 发明设计人 NADIYA KOCHURA;FANG LU;

    申请日2016-10-06

  • 分类号G06F19/00;G06N99/00;

  • 国家 US

  • 入库时间 2022-08-21 13:05:46

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