B
Bala G. Nair
Researcher at University of Washington
Publications - 66
Citations - 4957
Bala G. Nair is an academic researcher from University of Washington. The author has contributed to research in topics: Perioperative & Retrospective cohort study. The author has an hindex of 20, co-authored 63 publications receiving 2179 citations. Previous affiliations of Bala G. Nair include Washington University in St. Louis & University of Washington Medical Center.
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Journal ArticleDOI
From Local Explanations to Global Understanding with Explainable AI for Trees.
Scott M. Lundberg,Scott M. Lundberg,Gabriel G. Erion,Hugh Chen,Alex J. DeGrave,Jordan M. Prutkin,Bala G. Nair,Ronit Katz,Jonathan Himmelfarb,Nisha Bansal,Su-In Lee +10 more
TL;DR: An explanation method for trees is presented that enables the computation of optimal local explanations for individual predictions, and the authors demonstrate their method on three medical datasets.
Journal ArticleDOI
Explainable Machine-Learning Predictions for the Prevention of Hypoxaemia During Surgery
Scott M. Lundberg,Bala G. Nair,Monica S. Vavilala,Mayumi Horibe,Michael J. Eisses,Michael J. Eisses,Trevor Adams,Trevor Adams,David E. Liston,David E. Liston,Daniel King-Wai Low,Daniel King-Wai Low,Shu-Fang Newman,Jerry Kim,Jerry Kim,Su-In Lee +15 more
TL;DR: The results suggest that if anaesthesiologists currently anticipate 15% of hypoxaemia events, with the assistance of this system they could anticipate 30%, a large portion of which may benefit from early intervention because they are associated with modifiable factors.
Posted Content
Explainable AI for Trees: From Local Explanations to Global Understanding
Scott M. Lundberg,Gabriel G. Erion,Hugh Chen,Alex J. DeGrave,Jordan M. Prutkin,Bala G. Nair,Ronit Katz,Jonathan Himmelfarb,Nisha Bansal,Su-In Lee +9 more
TL;DR: Improvements to the interpretability of tree-based models through the first polynomial time algorithm to compute optimal explanations based on game theory, and a new type of explanation that directly measures local feature interaction effects.
Journal ArticleDOI
Preoperative Risk and the Association between Hypotension and Postoperative Acute Kidney Injury.
Michael R. Mathis,Bhiken I. Naik,Robert E. Freundlich,Amy Shanks,Michael Heung,Minjae Kim,Michael L. Burns,Douglas A. Colquhoun,Govind Rangrass,Allison M. Janda,Milo Engoren,Leif Saager,Kevin K. Tremper,Sachin Kheterpal,Michael F. Aziz,Traci Coffman,Marcel E. Durieux,Warren J. Levy,Robert B. Schonberger,Roy G. Soto,Janet Wilczak,Mitchell F. Berman,Joshua Berris,Daniel A. Biggs,Peter G. Coles,Robert M. Craft,Kenneth C. Cummings,Terri A. Ellis,Peter M. Fleishut,Daniel L. Helsten,Leslie C. Jameson,Wilton A. van Klei,Fabian O. Kooij,John E. LaGorio,Steven Lins,Scott A. Miller,Susan Molina,Bala G. Nair,William C. Paganelli,W. P. Peterson,Simon Tom,Jonathan P. Wanderer,Christopher Wedeven +42 more
TL;DR: Adult patients undergoing noncardiac surgery demonstrate varying associations with distinct levels of hypotension when stratified by preoperative risk factors, indicating specific levels of absolute hypotension, but not relative hypotensions, are an important independent risk factor for acute kidney injury.
Journal ArticleDOI
Feedback mechanisms including real-time electronic alerts to achieve near 100% timely prophylactic antibiotic administration in surgical cases.
TL;DR: Real-time guidance and reminders through electronic messages generated by a computerized decision support system (Smart Anesthesia Messenger, or SAM) significantly improved compliance of proper antibiotic delivery and documentation.