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Shounak Datta
Shounak Datta
Postdoctoral Associate, University of Florida
Verified email at ufl.edu
Title
Cited by
Cited by
Year
Performance of a machine learning algorithm using electronic health record data to predict postoperative complications and report on a mobile platform
Y Ren, TJ Loftus, S Datta, MM Ruppert, Z Guan, S Miao, B Shickel, Z Feng, ...
JAMA Network Open 5 (5), e2211973-e2211973, 2022
332022
Added value of intraoperative data for predicting postoperative complications: the MySurgeryRisk PostOp extension
S Datta, TJ Loftus, MM Ruppert, C Giordano, GR Upchurch Jr, P Rashidi, ...
Journal of Surgical Research 254, 350-363, 2020
282020
Reinforcement learning in surgery
S Datta, Y Li, MM Ruppert, Y Ren, B Shickel, T Ozrazgat-Baslanti, ...
Surgery 170 (1), 329-332, 2021
272021
Hybrid genetic algorithm-decision tree approach for rate constant prediction using structures of reactants and solvent for Diels-Alder reaction
S Datta, VA Dev, MR Eden
Computers & Chemical Engineering 106, 690-698, 2017
232017
Comparison of tree based ensemble machine learning methods for prediction of rate constant of Diels-Alder reaction
VA Dev, S Datta, NG Chemmangattuvalappil, MR Eden
Computer Aided Chemical Engineering 40, 997-1002, 2017
142017
Optimizing predictive strategies for acute kidney injury after major vascular surgery
AC Filiberto, T Ozrazgat-Baslanti, TJ Loftus, YC Peng, S Datta, P Efron, ...
Surgery 170 (1), 298-303, 2021
122021
Developing non-linear rate constant QSPR using decision trees and multi-gene genetic programming
S Datta, VA Dev, MR Eden
Computers & Chemical Engineering 127, 150-157, 2019
122019
Data mining and regression algorithms for the development of a QSPR model relating solvent structure and ibuprofen crystal morphology
S Datta, RH Herring III, MR Eden
Computer Aided Chemical Engineering 37, 1439-1444, 2015
92015
Developing QSPR for predicting DNA drug binding affinity of 9-Anilinoacridine derivatives using correlation-based adaptive LASSO algorithm
S Datta, VA Dev, MR Eden
Computer Aided Chemical Engineering 40, 2767-2772, 2017
82017
Using correlation based adaptive LASSO algorithm to develop QSPR of antitumour agents for DNA–drug binding prediction
S Datta, VA Dev, MR Eden
Computers & Chemical Engineering 122, 258-264, 2019
52019
Development of QSPR model relating solvent structure to crystal morphology
JC Haser, RH Herring III, S Datta, MR Eden
Computer Aided Chemical Engineering 34, 321-326, 2014
42014
Application of deep interpolation network for clustering of physiologic time series
Y Li, Y Ren, TJ Loftus, S Datta, M Ruppert, Z Guan, D Wu, P Rashidi, ...
arXiv preprint arXiv:2004.13066, 2020
22020
Relating Reaction Rate Constant to Structures of Reactants and Solvent Using a Hybrid GA-DT Approach
S Datta, VA Dev, MR Eden
Computer Aided Chemical Engineering 38, 2049-2054, 2016
22016
Membrane development from banana peel fibers for waste water treatment at low cost
S Datta, S Karmoker, MT Sowgath
Conference, Environmental division, 2012
22012
Physiologic signatures within six hours of hospitalization identify acute illness phenotypes
AB Yuanfang Ren,Tyler J. Loftus,Yanjun Li,Ziyuan Guan,Matthew M. Ruppert ...
PLOS Digital Health 1 (10), 2022
12022
Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications.
B Shickel, TJ Loftus, S Datta, T Ozrazgat-Baslanti, A Bihorac, P Rashidi
arXiv preprint arXiv, 2004
12004
Computer-Aided Analysis of Protease Catalytic Activity to Enhance Process and Product Development
A Ali, AC Massey, S Datta, A Adamczyk
2019 AIChE Annual Meeting, 2019
2019
Computational Exploration of Peptide Hydrolysis By Serine Protease: Combined Reaction Path and Process Variable Analysis
A Ali, AC Massey, S Datta, A Adamczyk
2019 AIChE Annual Meeting, 2019
2019
Machine Learning Algorithms for QSPR/QSAR Predictive Model Development Involving High-Dimensional Data
S Datta
Auburn University, 2019
2019
QSAR Study of Combretastatin-like Chalcones As Cancer Cell Growth Inhibitors Using Linear and Non-Linear Machine Learning Approaches
S Datta, M Eden
2018 AIChE Annual Meeting, 2018
2018
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Articles 1–20