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Hierarchical Gaussian Processes and Mixtures of Experts to Model COVID-19 Patient Trajectories.
Cui, Sunny; Yoo, Elizabeth C; Li, Didong; Laudanski, Krzysztof; Engelhardt, Barbara E.
Affiliation
  • Cui S; Department of Computer Science, Princeton University, Princeton, NJ, USA, scui@princeton.edu.
Pac Symp Biocomput ; 27: 266-277, 2022.
Article in En | MEDLINE | ID: mdl-34890155
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Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Pac Symp Biocomput Journal subject: BIOTECNOLOGIA / INFORMATICA MEDICA Year: 2022 Document type: Article
Search on Google
Add to My VHL
Print
XML
PubMed Links

Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Pac Symp Biocomput Journal subject: BIOTECNOLOGIA / INFORMATICA MEDICA Year: 2022 Document type: Article