Article
Inferring multimodal latent topics from electronic health records.
Nature communications - 21 May 2020
Li Yue, Nair Pratheeksha, Lu Xing Han, Wen Zhi, Wang Yuening, Dehaghi Amir Ardalan Kalantari, Miao Yan, Liu Weiqi, Ordog Tamas, Biernacka Joanna M, Ryu Euijung, Olson Janet E, Frye Mark A, Liu Aihua, Guo Liming, Marelli Ariane, Ahuja Yuri, Davila-Velderrain Jose, Kellis Manolis
Abstract excerpt
Electronic health records (EHR) are rich heterogeneous collections of patient health information, whose broad adoption provides clinicians and researchers unprecedented opportunities for health informatics, disease-risk prediction, actionable clinical recommendations, and precision medicine. However, EHRs present several modeling challenges, including highly sparse data matrices, noisy irregular clinical notes,...
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