S
Samson Mataraso
Researcher at University of California, Berkeley
Publications - 18
Citations - 739
Samson Mataraso is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 6, co-authored 10 publications receiving 397 citations. Previous affiliations of Samson Mataraso include Harvard University & Stanford University.
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Journal ArticleDOI
A longitudinal big data approach for precision health
Sophia Miryam Schüssler-Fiorenza Rose,Sophia Miryam Schüssler-Fiorenza Rose,Kévin Contrepois,Kegan J. Moneghetti,Kegan J. Moneghetti,Kegan J. Moneghetti,Wenyu Zhou,Tejaswini Mishra,Samson Mataraso,Orit Dagan-Rosenfeld,Ariel B. Ganz,Jessilyn Dunn,Daniel Hornburg,Shannon Rego,Dalia Perelman,Sara Ahadi,M. Reza Sailani,Yanjiao Zhou,Shana R. Leopold,Jieming Chen,Melanie Ashland,Jeffrey W. Christle,Jeffrey W. Christle,Monika Avina,Patricia Limcaoco,Camilo Ruiz,Marilyn Tan,Atul J. Butte,George M. Weinstock,George M. Slavich,Erica Sodergren,Tracey McLaughlin,Francois Haddad,Francois Haddad,Michael Snyder,Michael Snyder +35 more
TL;DR: The ability of deep longitudinal profiling to make health-related discoveries, identify clinically relevant molecular pathways and affect behavior in a prospective longitudinal cohort enriched for risk of type 2 diabetes mellitus is explored.
Journal ArticleDOI
Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial.
TL;DR: This is the first randomised controlled trial of a sepsis surveillance system to demonstrate statistically significant differences in length of stay and in-hospital mortality.
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Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial.
Hoyt Burdick,Hoyt Burdick,Carson Lam,Samson Mataraso,Anna Siefkas,Gregory Braden,R. Phillip Dellinger,Andrea McCoy,Jean Louis Vincent,Abigail Green-Saxena,Gina Barnes,Jana Hoffman,Jacob Calvert,Emily Pellegrini,Ritankar Das +14 more
TL;DR: In the first clinical trial of a machine learning algorithm for ventilation needs among COVID-19 patients, the algorithm demonstrated accurate prediction of the need for mechanical ventilation within 24 h of an initial encounter.
Journal ArticleDOI
Mortality prediction model for the triage of COVID-19, pneumonia, and mechanically ventilated ICU patients: A retrospective study
Logan Ryan,Carson Lam,Samson Mataraso,Angier Allen,Abigail Green-Saxena,Emily Pellegrini,Jana Hoffman,Christopher Barton,Andrea McCoy,Ritankar Das +9 more
TL;DR: A machine learning-based algorithm is a useful predictive tool for anticipating patient mortality at clinically useful, and is capable of accurate mortality prediction for mechanically ventilated patients as well as those diagnosed with pneumonia and COVID-19.
Journal ArticleDOI
A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development Study.
Angier Allen,Samson Mataraso,Anna Siefkas,Hoyt Burdick,Hoyt Burdick,Gregory Braden,R. Phillip Dellinger,Andrea McCoy,Emily Pellegrini,Jana Hoffman,Abigail Green-Saxena,Gina Barnes,Jacob Calvert,Ritankar Das +13 more
TL;DR: There may be significant racial bias in commonly used severity scoring systems and that machine learning algorithms may reduce bias while improving on the accuracy of these methods.