Applying interpretable deep learning models to identify chronic cough patients using EHR data. - Xiao Luo 002; Priyanka Gandhi; Zuoyi Zhang; Wei Shao 005; Zhi Han; Vasu Chandrasekaran; Vladimir Turzhitsky; Vishal Bali; Anna R. Roberts; Megan Metzger; Jarod Baker; Carmen La Rosa; et al. (Comput. Methods Programs Biomed., 2021)

Development, validation, and proof-of-concept implementation of a two-year risk prediction model for undiagnosed atrial fibrillation using common electronic health data (UNAFIED). - Randall W. Grout; Siu L. Hui; Timothy D. Imler; Sarah El-Azab; Jarod Baker; George H. Sands; Mohammad B. Ateya; Francis Pike (BMC Medical Informatics Decis. Mak., 2021)

Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data. - Wei Shao 005; Xiao Luo 002; Zuoyi Zhang; Zhi Han; Vasu Chandrasekaran; Vladimir Turzhitsky; Vishal Bali; Anna R. Roberts; Megan Metzger; Jarod Baker; Carmen La Rosa; Jessica Weaver; et al. (BMC Bioinform., 2022)