Posada, Jose

Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine

Guo, L. L., Pfohl, S. R., Fries, J., Johnson, A. E. W., Posada, J., Aftandilian, C., Shah, N., & Sung, L. (2022) · Scientific Reports

Machine Learning in HealthcareDomain Adaptation and Few-Shot Learning

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Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine

Guo, L. L., Pfohl, S. R., Fries, J., Posada, J., Fleming, S. L., Aftandilian, C., Shah, N., & Sung, L. (2021) · Applied Clinical Informatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 96

Use of repurposed and adjuvant drugs in hospital patients with covid-19: multinational network cohort study

Prats-Uribe, A., Sena, A. G., Lai, L. Y. H., Ahmed, W.-U.-R., Alghoul, H., Alser, O., Alshammari, T. M., Areia, C., Carter, W., Casajust, P., et al. (2021) · BMJ

COVID-19 Clinical Research StudiesCOVID-19 and healthcare impacts

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BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing

Fries, J. A., Weber, L., Seelam, N., Altay, G., Datta, D., Garda, S., Kang, M., Su, R., Kusa, W., Cahyawijaya, S., et al. (2022) · arXiv

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 17