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Developing a portable natural language processing based phenotyping system

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 across...

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Detalles Bibliográficos
Autores principales:	Sharma, Himanshu, Mao, Chengsheng, Zhang, Yizhen, Vatani, Haleh, Yao, Liang, Zhong, Yizhen, Rasmussen, Luke, Jiang, Guoqian, Pathak, Jyotishman, Luo, Yuan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2019
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6448187/ https://www.ncbi.nlm.nih.gov/pubmed/30943974 http://dx.doi.org/10.1186/s12911-019-0786-z

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