Developing a portable natural language processing based phenotyping system

Developing a portable natural language processing based phenotyping system

Abstract Background This paper presents a portable phenotyping system that is capable of integrating both rule-based and statistical machine learning based approaches. Methods Our system utilizes UMLS to extract clinically relevant features from the unstructured text and then facilitates portability...

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Bibliographic Details
Main Authors: Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo
Format: Article
Language:English
Published: BMC 2019-04-01
Series:BMC Medical Informatics and Decision Making
Online Access:http://link.springer.com/article/10.1186/s12911-019-0786-z

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http://link.springer.com/article/10.1186/s12911-019-0786-z

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