专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20160342742A1 DISTRIBUTED CORRELATION AND ANALYSIS OF PATIENT THERAPY DATA 审中-公开
标题翻译：患者治疗数据的分布相关和分析
公开(公告)号：US20160342742A1
公开(公告)日：2016-11-24
申请号：US15145222
申请日：2016-05-03
申请人： SAS Institute Inc.
发明人： Emily Chapman-McQuiston , Diane Emerton , Ruth Baldasaro , Daniel Kelly
IPC分类号： G06F19/00
CPC分类号： G16H50/70 , G16H10/60
摘要： An apparatus includes a processor and storage to store instructions that cause the processor to identify at least one correlation between a diagnosis group and a medication class for each patient of a first set of patients to derive a set of models for each diagnosis group that correlates the diagnosis group to at least one medication class based on the at least one identified correlation; and for each patient of a second set of patients, employ each model of each set of models to make at least one prediction of at least one diagnosis group as indicated in the corresponding diagnosis group record based on at least one medication class indicated in the corresponding medication class record, and compare the at least one prediction to the corresponding diagnosis group record to derive a tally of at least one of true positives or false positives for each prediction.
摘要翻译：一种装置包括处理器和存储器，用于存储使得处理器识别第一组患者的每个患者的诊断组与药物类别之间的至少一个相关性的指令，以导出每个诊断组的一组模型，基于所述至少一个所识别的相关性，诊断组至少一个药物类别; 并且对于第二组患者的每个患者，使用每组模型的每个模型，以基于相应的诊断组记录中指示的至少一个诊断组的至少一个预测，基于相应的药物分类记录，并且将至少一个预测与相应的诊断组记录进行比较，以得出每个预测的真阳性或假阳性中的至少一个的计数。

2. 发明授权

US09646258B2 Techniques to provide real-time processing enhancements and modeling for data anomaly detection pertaining to medical events using decision trees 有权
公开(公告)号：US09646258B2
公开(公告)日：2017-05-09
申请号：US15274589
申请日：2016-09-23
申请人： SAS Institute Inc.
发明人： Steven William Enck , Emily Chapman-McQuiston , Daniel Kelly
IPC分类号： G06F15/18 , G06N7/00 , G06F17/30 , G06F19/00
CPC分类号： G06N7/005 , G06F17/30309 , G06F17/30551 , G06F17/30961 , G06F19/00 , G16H50/50
摘要： Embodiments are generated directed to method, medium, and system including processing circuitry to generate records including randomly selected events for each of one or more subjects having one or more of the same category parameters as a subject of a particular event. The processing circuitry may also present, on a display device, a computer-generated model based on the records, the model having a decision tree data structure having decision tree nodes corresponding with historical events from the records, each of the decision tree nodes having an indication of a likelihood of occurrence for the particular event based on whether a corresponding history event of the decision tree node occurred or did not occur within a specific time period. Embodiments of the real-time distributed nature of the systems and processing discussed herein can solve big data analytics processing problems and facilitate data anomaly detection.

3. 发明授权

US10991466B2 Distributed correlation and analysis of patient therapy data 有权
公开(公告)号：US10991466B2
公开(公告)日：2021-04-27
申请号：US15145222
申请日：2016-05-03
申请人： SAS Institute Inc.
发明人： Emily Chapman-McQuiston , Diane Emerton , Ruth Baldasaro , Daniel Kelly
IPC分类号： G16H50/70 , G16H10/60
摘要： An apparatus includes a processor and storage to store instructions that cause the processor to identify at least one correlation between a diagnosis group and a medication class for each patient of a first set of patients to derive a set of models for each diagnosis group that correlates the diagnosis group to at least one medication class based on the at least one identified correlation; and for each patient of a second set of patients, employ each model of each set of models to make at least one prediction of at least one diagnosis group as indicated in the corresponding diagnosis group record based on at least one medication class indicated in the corresponding medication class record, and compare the at least one prediction to the corresponding diagnosis group record to derive a tally of at least one of true positives or false positives for each prediction.

4. 发明申请

US20180144815A1 COMPUTER SYSTEM TO IDENTIFY ANOMALIES BASED ON COMPUTER GENERATED RESULTS 审中-公开
公开(公告)号：US20180144815A1
公开(公告)日：2018-05-24
申请号：US15819562
申请日：2017-11-21
申请人： SAS Institute Inc.
发明人： Emily Chapman-McQuiston , Julius King , Wallace Benjamin Wolverton
IPC分类号： G16H10/60
CPC分类号： G16H10/60 , G16H40/20 , G16H50/30
摘要： One or more embodiments may include techniques to determine timeframes for target variables based on the scoring of data utilizing one or more models. Moreover, embodiments may include generating a first model based on a first subset of the data and a second model based on the second subset of the data, determining a first quality indication for the first model and a second quality indication for the second model, the first quality indication and the second quality indication based on one or more quality measurements, and the first quality indication and the second quality indication to indicate relative quality between the first model and the second model. Embodiments may include utilizing the first quality indication and the second quality indication to select the first model or the second model having higher quality, the selected first model or second model to score the data to determine the timeframes.

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式