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AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 2, 2023
Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer PatientsMohan Timilsina, Samuele Buosi, Dirk Fey, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 2, 2023
Quantitative and Qualitative Evaluation of Provider Use of a Novel Machine Learning Model for Favorable Outcome PredictionElisabeth Yang, Yin Aphinyanaphongs, Paawan V Punjabi, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 2, 2023
Predicting patients who are likely to develop Lupus Nephritis of those newly diagnosed with Systemic Lupus ErythematosusKatelyn K Bechler, Liya Stolyar, Ethan Steinberg, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 2, 2023
Designing health IT to support falls prevention in hospitals: Findings from a realist reviewRebecca Randell, Lynn McVey, Hadar Zaman, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 2, 2023
Fairly Predicting Graft Failure in Liver Transplant for Organ AssigningSirui Ding, Ruixiang Tang, Daochen Zha, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 2, 2023
Parsable Clinical Trial Eligibility Criteria Representation Using Natural Language ProcessingJeongeun Kim, Mitchell Izower, Yuri Quintana
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 2, 2023
Reducing FHIR "Profiliferation": A Data-Driven ApproachMark A Kramer
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 2, 2023
Tailoring Rule-Based Data Quality Assessment to the Patient-Centered Outcomes Research Network (PCORnet) Common Data Model (CDM)Yahia Mohamed, Xing Song, Tamara M McMahon, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 2, 2023
User Experience of Symptom Checkers: A Systematic ReviewYue You, Renkai Ma, Xinning Gui
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 2, 2023
Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-artDavide Ferrari, Veronica Guidetti, Yanzhong Wang, et al.
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