Marshall Nichols
Duke University(US)Duke Institute for Health Innovation(US)
Publications by Year
Research Areas
Machine Learning in Healthcare, Sepsis Diagnosis and Treatment, Respiratory viral infections research, Influenza Virus Research Studies, Artificial Intelligence in Healthcare and Education
Most-Cited Works
- → Unsupervised Analysis of Transcriptomics in Bacterial Sepsis Across Multiple Datasets Reveals Three Robust Clusters(2018)344 cited
- → Host gene expression classifiers diagnose acute respiratory illness etiology(2016)266 cited
- → A community approach to mortality prediction in sepsis via gene expression analysis(2018)243 cited
- → Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study(2019)206 cited
- → "The human body is a black box"(2020)171 cited
- → A Path for Translation of Machine Learning Products into Healthcare Delivery(2020)138 cited
- → Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission(2020)136 cited
- Chloral hydrate: the good and the bad.(1999)
- → Machine learning for early detection of sepsis: an internal and temporal validation study(2020)101 cited
- → Machine Learning in Health Care: A Critical Appraisal of Challenges and Opportunities(2019)78 cited