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Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data.
Shao W, Luo X, Zhang Z, Han Z, Chandrasekaran V, Turzhitsky V, Bali V, Roberts AR, Metzger M, Baker J, La Rosa C, Weaver J, Dexter P, Huang K. Shao W, et al. Among authors: turzhitsky v. BMC Bioinformatics. 2022 Apr 19;23(Suppl 3):140. doi: 10.1186/s12859-022-04680-4. BMC Bioinformatics. 2022. PMID: 35439945 Free PMC article.
Applying interpretable deep learning models to identify chronic cough patients using EHR data.
Luo X, Gandhi P, Zhang Z, Shao W, Han Z, Chandrasekaran V, Turzhitsky V, Bali V, Roberts AR, Metzger M, Baker J, La Rosa C, Weaver J, Dexter P, Huang K. Luo X, et al. Among authors: turzhitsky v. Comput Methods Programs Biomed. 2021 Oct;210:106395. doi: 10.1016/j.cmpb.2021.106395. Epub 2021 Sep 4. Comput Methods Programs Biomed. 2021. PMID: 34525412
Machine learning to identify chronic cough from administrative claims data.
Bali V, Turzhitsky V, Schelfhout J, Paudel M, Hulbert E, Peterson-Brandt J, Hertzberg J, Kelly NR, Patel RH. Bali V, et al. Among authors: turzhitsky v. Sci Rep. 2024 Jan 30;14(1):2449. doi: 10.1038/s41598-024-51522-9. Sci Rep. 2024. PMID: 38291064 Free PMC article.
56 results