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

Internet

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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