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Martin G. Seneviratne · SciRah

Researcher profile · Semantic Scholar

Martin G. Seneviratne

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Martin G. Seneviratne — researcher profile on SciRah

h-index: 16
Works: 32
Citations: 7,533

Most-cited papers

Large language models encode clinical knowledge
K. Singhal, Shekoofeh Azizi, Tao Tu, S. Mahdavi +28 more
2022Nature5,629 citations Open access
Semantic Scholar
Underspecification Presents Challenges for Credibility in Modern Machine Learning
A. D'Amour, K. Heller, D. Moldovan, Ben Adlam +36 more
2020Journal of machine learning research986 citations
Semantic Scholar
Advances in Electronic Phenotyping: From Rule-Based Definitions to Machine Learning Models
J. Banda, Martin G. Seneviratne, T. Hernandez-Boussard, N. Shah
2018Annual Review of Biomedical Data Science211 citations Open access
Semantic Scholar
Bridging the implementation gap of machine learning in healthcare
Martin G. Seneviratne, N. Shah, Larry F. Chu
2019BMJ Innovations150 citations Open access
Semantic Scholar
Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records
Nenad Tomašev, Natalie Harris, Sebastien Baur, A. Mottram +27 more
2021Nature Protocols106 citations
Semantic Scholar
Predicting the Incidence of Pressure Ulcers in the Intensive Care Unit Using Machine Learning
E. Cramer, Martin G. Seneviratne, H. Sharifi, A. Öztürk +1 more
2019eGEMs79 citations Open access
Semantic Scholar
Reporting of demographic data and representativeness in machine learning models using electronic health records
S. Bozkurt, Eli M. Cahan, Martin G. Seneviratne, Ran Sun +3 more
2020J. Am. Medical Informatics Assoc.66 citations Open access
Semantic Scholar
Weakly supervised natural language processing for assessing patient-centered outcome following prostate cancer treatment
Imon Banerjee, Kevin Li, Martin G. Seneviratne, M. Ferrari +4 more
2019JAMIA Open50 citations Open access
Semantic Scholar
Architecture and Implementation of a Clinical Research Data Warehouse for Prostate Cancer
Martin G. Seneviratne, Tina Seto, D. Blayney, J. Brooks +1 more
2018eGEMs41 citations Open access
Semantic Scholar
Concept-based model explanations for electronic health records
Sebastien Baur, Shaobo Hou, Eric Loreaux, Diana Mincu +6 more
2020ACM Conference on Health, Inference, and Learning35 citations Open access
Semantic Scholar
Distribution of global health measures from routinely-collected PROMIS surveys in patients with breast cancer or prostate cancer
Martin G. Seneviratne, S. Bozkurt, Manali I. Patel, Tina Seto +4 more
2018Cancer32 citations Open access
Semantic Scholar
Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network
M. Kashyap, Martin G. Seneviratne, J. Banda, T. Falconer +4 more
2020J. Am. Medical Informatics Assoc.26 citations Open access
Semantic Scholar
Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing
Subhrajit Roy, Diana Mincu, Eric Loreaux, A. Mottram +9 more
2021J. Am. Medical Informatics Assoc.21 citations Open access
Semantic Scholar
Identifying cases of metastatic prostate cancer using machine learning on electronic health records
Martin G. Seneviratne, J. Banda, J. Brooks, N. Shah +1 more
2018American Medical Informatics Association Annual Symposium20 citations
Semantic Scholar
User-centred design for machine learning in health care: a case study from care management
Martin G. Seneviratne, Ron C. Li, Meredith Schreier, Daniel Lopez-Martinez +15 more
2022BMJ Health & Care Informatics19 citations Open access
Semantic Scholar
Merging heterogeneous clinical data to enable knowledge discovery
Martin G. Seneviratne, M. G. Kahn, T. Hernandez-Boussard
2018Pacific Symposium on Biocomputing19 citations Open access
Semantic Scholar
Expanding the Secondary Use of Prostate Cancer Real World Data: Automated Classifiers for Clinical and Pathological Stage
S. Bozkurt, Christopher J. Magnani, Martin G. Seneviratne, J. Brooks +1 more
2022Frontiers in Digital Health15 citations Open access
Semantic Scholar
Machine Learning Approaches for Extracting Stage from Pathology Reports in Prostate Cancer
Raphael Lenain, Martin G. Seneviratne, S. Bozkurt, D. Blayney +2 more
2019Medinfo15 citations Open access
Semantic Scholar
Grains of sand to clinical pearls: Realizing the potential of wearable data.
Martin G. Seneviratne, S. Connolly, S. Martin, K. Parakh
2022American Journal of Medicine13 citations Open access
Semantic Scholar
BEDS-Bench: Behavior of EHR-models under Distributional Shift-A Benchmark
A. Avati, Martin G. Seneviratne, Emily Xue, Zhen Xu +2 more
2021arXiv.org13 citations
Semantic Scholar
Assessment of a Clinical Trial–Derived Survival Model in Patients With Metastatic Castration-Resistant Prostate Cancer
J. Coquet, Nicolas Bievre, Vincent Billaut, Martin G. Seneviratne +4 more
2021JAMA Network Open11 citations Open access
Semantic Scholar
Learning to Select Best Forecast Tasks for Clinical Outcome Prediction
Yuan Xue, Nan Du, A. Mottram, Martin G. Seneviratne +1 more
2020Neural Information Processing Systems9 citations
Semantic Scholar
Development and Implementation of a Real-time Bundle-adherence Dashboard for Central Line-associated Bloodstream Infections
Augustine Chemparathy, Martin G. Seneviratne, Andrew Ward, Simran Mirchandani +7 more
2021Pediatric Quality & Safety8 citations Open access
Semantic Scholar
HealthNavigator: a mobile application for chronic disease screening and linkage to services at an urban Primary Health Network.
Martin G. Seneviratne, F. Hersch, D. Peiris
2018Australian Journal of Primary Health8 citations
Semantic Scholar
Instability in clinical risk stratification models using deep learning
D. Martinez, A. Yakubovich, Martin G. Seneviratne, Á. Lelkes +8 more
2022ML4H@NeurIPS5 citations Open access
Semantic Scholar
Automated LOINC Standardization Using Pre-trained Large Language Models
Tao Tu, Eric Loreaux, Emma Chesley, Á. Lelkes +4 more
2022ML4H@NeurIPS5 citations
Semantic Scholar
The Association Between Central Line-Associated Bloodstream Infection and Central Line Access*
Andrew Ward, Augustine Chemparathy, Martin G. Seneviratne, Shabnam Gaskari +6 more
2023Critical Care Medicine4 citations
Semantic Scholar
Digital Health in Low- and Middle-Income Countries
Martin G. Seneviratne, D. Peiris
2019Revolutionizing Tropical Medicine3 citations
Semantic Scholar
Development and Validation of Phenotype Classifiers across Multiple Sites in the Observational Health Sciences and Informatics (OHDSI) Network
M. Kashyap, Martin G. Seneviratne, J. Banda, T. Falconer +4 more
2019bioRxiv2 citations Open access
Semantic Scholar
Boosting the interpretability of clinical risk scores with intervention predictions
Eric Loreaux, Ke Yu, Jonas Kemp, Martin G. Seneviratne +7 more
2022arXiv.org1 citations Open access
Semantic Scholar
Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction
Yuan Xue, Nan Du, A. Mottram, Martin G. Seneviratne +1 more
2024arXiv.org0 citations
Semantic Scholar
Developing Continuous Risk Models for Adverse Event Prediction in Electronic Health Records using Deep Learning
Nenad Tomašev, Natalie Harris, Sebastien Baur, A. Mottram +27 more
20200 citations
Semantic Scholar

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