Marcus A. Badgeley
Orcid: 0000-0001-8064-9050
According to our database1,
Marcus A. Badgeley
authored at least 13 papers
between 2015 and 2022.
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Bibliography
2022
Continuous action deep reinforcement learning for propofol dosing during general anesthesia.
Artif. Intell. Medicine, 2022
2020
Quantification of BERT Diagnosis Generalizability Across Medical Specialties Using Semantic Dataset Distance.
CoRR, 2020
Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions.
Proceedings of the Artificial Intelligence in Medicine, 2020
Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning.
Proceedings of the Artificial Intelligence in Medicine, 2020
2019
Deep learning predicts hip fracture using confounding patient and healthcare variables.
npj Digit. Medicine, 2019
PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model.
Bioinform., 2019
CANDI: an R package and Shiny app for annotating radiographs and evaluating computer-aided diagnosis.
Bioinform., 2019
2018
Confounding variables can degrade generalization performance of radiological deep learning models.
CoRR, 2018
Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning.
Briefings Bioinform., 2018
2017
CoRR, 2017
Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams.
Briefings Bioinform., 2017
2016
Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks.
Bioinform., 2016
2015
Hybrid Bayesian-rank integration approach improves the predictive power of genomic dataset aggregation.
Bioinform., 2015