Web-based Real-Time Case Finding for the Population Health Management of Patients With Diabetes Mellitus: A Prospective Validation of the Natural Language Processing-Based Algorithm With Statewide Electronic Medical Records.

Le Zheng Yue Wang Shiying Hao Andrew Young Shin Bo Jin Anh D Ngo Medina S Jackson-Browne Daniel J Feller Tianyun Fu Karena Zhang Xin Zhou Chunqing Zhu Dorothy Dai Yunxian Yu Gang Zheng Yu-Ming Li Doff B McElhinney Devore S Culver Shaun T Alfreds Frank Stearns Karl G Sylvester Eric Widen Xuefeng Bruce Ling

Published in: JMIR medical informatics (2016)

The online NLP algorithm was effective in identifying uncodified diabetes cases in real time, leading to a significant improvement in diabetes case finding. The successful integration of the NLP-based case finding algorithm into the Maine HIE database indicates a strong potential for application of this novel method to achieve a more complete ascertainment of diagnoses of diabetes mellitus.

Keyphrases

glycemic control
machine learning
type diabetes
deep learning
cardiovascular disease
autism spectrum disorder
neural network
emergency department
social media
metabolic syndrome
adipose tissue
human health
drug induced