publications
publications by categories in reversed chronological order. generated by jekyll-scholar.
For a full list of publications please see google scholar
2023
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Replication of Real-World Evidence in Oncology Using Electronic Health Record Data Extracted by Machine LearningCancers, 2023
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Evaluation of race/ethnicity-specific survival machine learning models for Hispanic and Black patients with breast cancerBMJ Health & Care Informatics, 2023
2022
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Peeking into a black box, the fairness and generalizability of a MIMIC-III benchmarking modelScientific Data, 2022
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Analyzing real world data of blood transfusion adverse events: Opportunities and challengesTransfusion, 2022
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Machine Learning-Accelerated Outcomes Research: A Real-World Case Study of Biomarker-Associated Overall Survival in OncologyISPOR - Value in Health, 2022
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Can ML-Extracted Variables Reproduce Real World Comparative Effectiveness Results From Expert-Abstracted Data? A Case Study in Metastatic Non-Small Cell Lung Cancer TreatmentISPOR - Value in Health, 2022
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Expanding the Secondary Use of Prostate Cancer Real World Data: Automated Classifiers for Clinical and Pathological StageFrontiers in digital health, 2022
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Considerations for the Use of Machine Learning Extracted Real-World Data to Support Evidence Generation: A Research-Centric Evaluation FrameworkCancers, 2022
2021
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Assessment of a clinical trial–derived survival model in patients with metastatic castration-resistant prostate cancerJAMA network open, 2021
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Diverse patient trajectories during cytotoxic chemotherapy: Capturing longitudinal patient-reported outcomesCancer medicine, 2021
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Characterizing patient flow after an academic hospital merger and acquisition.The American Journal of Managed Care, 2021
2020
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Four distinct patient-reported outcome (PRO) trajectories in longitudinal responses collected before, during, and after chemotherapy.2020
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Acute pain after breast surgery and reconstruction: A two-institution study of surgical factors influencing short-term pain outcomesJournal of surgical oncology, 2020
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MINIMAR(MINimum Information for Medical AI Reporting): developing reporting standards for artificial intelligence in health careJournal of the American Medical Informatics Association, 2020
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Phenotyping severity of patient-centered outcomes using clinical notes: A prostate cancer use caseLearning Health Systems, 2020
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Reporting of demographic data and representativeness in machine learning models using electronic health recordsJournal of the American Medical Informatics Association, 2020