Следене
Sehj Kashyap
Sehj Kashyap
MD Candidate, Duke University | MS Bioinformatics, Stanford University
Потвърден имейл адрес: stanford.edu
Заглавие
Позовавания
Позовавания
Година
Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): a …
KM Corey, S Kashyap, E Lorenzi, SA Lagoo-Deenadayalan, K Heller, ...
PLoS medicine 15 (11), e1002701, 2018
1732018
A path for translation of machine learning products into healthcare delivery
MP Sendak, J D’Arcy, S Kashyap, M Gao, M Nichols, K Corey, W Ratliff, ...
EMJ Innov 10, 19-00172, 2020
1102020
A framework for making predictive models useful in practice
K Jung, S Kashyap, A Avati, S Harman, H Shaw, R Li, M Smith, K Shum, ...
Journal of the American Medical Informatics Association 28 (6), 1149-1158, 2021
622021
Measure what matters: counts of hospitalized patients are a better metric for health system capacity planning for a reopening
S Kashyap, S Gombar, S Yadlowsky, A Callahan, J Fries, BA Pinsky, ...
Journal of the American Medical Informatics Association 27 (7), 1026-1131, 2020
222020
A survey of extant organizational and computational setups for deploying predictive models in health systems
S Kashyap, KE Morse, B Patel, NH Shah
Journal of the American Medical Informatics Association 28 (11), 2445-2450, 2021
202021
Just-in-time postnatal education programmes to improve newborn care practices: needs and opportunities in low-resource settings
L Subramanian, S Murthy, P Bogam, SD Yan, MM Delaney, ...
BMJ global health 5 (7), e002660, 2020
152020
Impact of diagnosis code grouping method on clinical prediction model performance: a multi-site retrospective observational study
A Kansal, M Gao, S Balu, M Nichols, K Corey, S Kashyap, M Sendak
International Journal of Medical Informatics 151, 104466, 2021
52021
Machine Learning for Health (ML4H) 2019: What Makes Machine Learning in Medicine Different?
AV Dalca, MBA McDermott, E Alsentzer, SG Finlayson, M Oberst, F Falck, ...
Machine Learning for Health Workshop, 1-9, 2020
42020
Impact of family-centred postnatal training on maternal and neonatal health and care practices in district hospitals in two states in India: a pre–post study
S Kashyap, AF Spielman, N Ramnarayan, SD Sahana, R Pant, B Kaur, ...
BMJ Open Quality 11 (Suppl 1), e001462, 2022
32022
Machine learning for predictive analytics
S Kashyap, KM Corey, A Kansal, M Sendak
Machine Learning in Cardiovascular Medicine, 45-69, 2021
12021
Family-centered postnatal training and adherence to newborn care practices in district hospitals in two Indian states: A quasi-experimental intervention study
S Kashyap, AF Spielman, N Ramnarayan, SD Sahana, R Pant, B Kaur, ...
medRxiv, 2021.03. 15.21252605, 2021
2021
Early Identification of High Risk Cardiac Decompensation Phenotypes via Real-time Electronic Health Record Data
W Ratliff, ZK Wegermann, H Shi, M Gao, M Sendak, A Kansal, C O'Brien, ...
Circulation 142 (Suppl_3), A16450-A16450, 2020
2020
Does Explant Histology Predict HCV Recurrence?
R Kashyap, S Kahyap, S Safadjou, C Ryan, N Yarid, S Agarwal, ...
AMERICAN JOURNAL OF TRANSPLANTATION 10, 258-258, 2010
2010
The Limits of Removing Uncertainty: The Role of Computational Science in Scientific Inquiry
S Metz
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–14