Martin Seneviratne
Publications by Year
Research Areas
Machine Learning in Healthcare, Topic Modeling, Artificial Intelligence in Healthcare and Education, Biomedical Text Mining and Ontologies, Sepsis Diagnosis and Treatment
Most-Cited Works
- → Large language models encode clinical knowledge(2023)2,786 cited
- → Underspecification Presents Challenges for Credibility in Modern Machine Learning(2020)430 cited
- → Advances in Electronic Phenotyping: From Rule-Based Definitions to Machine Learning Models(2018)233 cited
- → Bridging the implementation gap of machine learning in healthcare(2019)162 cited
- → Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records(2021)105 cited
- → Subfertile Female Androgen Receptor Knockout Mice Exhibit Defects in Neuroendocrine Signaling, Intraovarian Function, and Uterine Development But Not Uterine Function(2009)99 cited
- → Publisher Correction: Large language models encode clinical knowledge(2023)83 cited
- → Predicting the Incidence of Pressure Ulcers in the Intensive Care Unit Using Machine Learning(2019)77 cited
- → Reporting of demographic data and representativeness in machine learning models using electronic health records(2020)62 cited