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SYSTEMS AND METHODS FOR DATA AND INFORMATION SOURCE RELIABILITY ESTIMATION

机译:数据和信息源可靠性估计的系统和方法

摘要

Presented are systems and methods that estimate the strength of a relationship between elements gathered from online and/or offline information sources by estimating the trustworthiness both of the gathered data and the information sources from which the data originates. In one exemplary application, the relatedness between co-occurring symptom and disease terms collected from information sources, such as health-related online databases, is iteratively evaluated based on the trustworthiness of symptom-disease pairings and the trustworthiness of the information sources themselves. In various embodiments of the present disclosure, an objective function is used to extract a knowledge base that aids in identifying a potential relationship between a set of given symptoms provided by a user of an online healthcare service and co-occurring disease terms, such that a likely disease may be inferred from the set of symptoms.
机译:提出了通过估计收集的数据和数据所源自的信息源两者的可信赖度来估计从在线和/或离线信息源收集的元素之间的关系的强度的系统和方法。在一个示例性应用中,基于症状-疾病配对的可信度和信息源本身的可信度,反复评估共现症状与从信息源(如健康相关的在线数据库)收集的疾病术语之间的相关性。在本公开的各种实施例中,使用目标函数来提取知识库,该知识库有助于识别在线医疗服务的用户提供的一组给定症状与同时发生的疾病术语之间的潜在关系,从而从一组症状中推断出可能的疾病。

著录项

  • 公开/公告号US2018011856A1

    专利类型

  • 公开/公告日2018-01-11

    原文格式PDF

  • 申请/专利权人 BAIDU USA LLC;

    申请/专利号US201615207434

  • 发明设计人 YALIANG LI;NAN DU;YUSHENG XIE;WEI FAN;

    申请日2016-07-11

  • 分类号G06F17/30;G06F19;

  • 国家 US

  • 入库时间 2022-08-21 13:04:15

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