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Publications

Peer-reviewed journal & conference papers, preprints, and abstracts. For the most current list, see Google Scholar.

Journal Articlespeer-reviewed
2026

Pathogen Characteristics Are Key Determinants of Distinct Host-Response Phenotypes of Sepsis

R. Chanderraj, B. Bartek, K.A. Stringer … S. Tripathi … R.P. Dickson, P. Sinha · The Journal of Clinical Investigation, 136(6)
2025

Short Stature Is an Independent Risk Factor for Ventilatory Inefficiency and Higher Mortality in ARDS

A.C. Monteiro, B. Bartek, S. Tripathi, C.S. Calfee, M.A. Matthay, P. Sinha · Am. J. Respir. Crit. Care Med.
2025

Effect of Telemedicine Support for Intraoperative Anaesthesia Care on Postoperative Outcomes: the TECTONICS Randomised Clinical Trial

C.R. King, B.A. Fritz, S.H. Gregory … S. Tripathi et al. · British Journal of Anaesthesia, 134(3):671–680
2024

Effect of Machine-Learning Models on Clinician Prediction of Postoperative Complications: the Perioperative ORACLE Randomised Clinical Trial

B.A. Fritz, C.R. King, M. Abdelhack … S. Tripathi et al. · British Journal of Anaesthesia, 133(5):1042–1050
2024

Social Vulnerability and Surgery Outcomes: A Cross-Sectional Analysis

M. Abdelhack, S. Tripathi, Y. Chen, M.S. Avidan, C.R. King · BMC Public Health, 24:1907 · co-first author
2024

Multi-View Representation Learning for Tabular Data Integration Using Inter-Feature Relationships

S. Tripathi, B.A. Fritz, M. Abdelhack, M.S. Avidan, Y. Chen, C.R. King · Journal of Biomedical Informatics, 151:104602
2023

A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues

M. Abdelhack, J. Zhang, S. Tripathi, B.A. Fritz, M.S. Avidan, Y. Chen, C.R. King · Transactions on Machine Learning Research
2020

Equilibrium Points and Equilibrium Sets of Some GI/M/1 Queues

N. Hemachandra, K. Patil, S. Tripathi · Queueing Systems, 96(3):245–284
Conference Paperspeer-reviewed
2024

Contrastive Learning: Big Data Foundations and Applications

S. Tripathi, C.R. King · ACM IKDD CODS & COMAD (CODS-COMAD), pp. 493–497
2020

Interpretable Feature Subset Selection: A Shapley Value Based Approach

S. Tripathi, N. Hemachandra, P. Trivedi · IEEE International Conference on Big Data, pp. 5463–5472
2019

Cost-Sensitive Learning in the Presence of Symmetric Label Noise

S. Tripathi, N. Hemachandra · PAKDD, Advances in Knowledge Discovery and Data Mining (Springer), pp. 15–28
2018

Scalable Linear Classifiers Based on Exponential Loss Function

S. Tripathi, N. Hemachandra · ACM India Joint Intl. Conf. on Data Science & Management of Data (CODS-COMAD), pp. 190–200
Preprints & Working Papersunder review / in prep
2024

Are All Clinical Data Modalities Equally Useful for Post-Surgical Outcome Prediction?

S. Tripathi, B.A. Fritz, Y. Chen, M.S. Avidan, C.R. King · Working paper
2020

(Un)fairness in Post-Operative Complication Prediction Models

S. Tripathi, B.A. Fritz, M. Abdelhack, M.S. Avidan, Y. Chen, C.R. King · arXiv:2011.02036
2020

GANs for Learning from Very High Class-Conditional Noisy Labels

S. Tripathi, N. Hemachandra · arXiv:2010.09577
Abstracts & Presentationsfirst & co-authored
2026

Hypoinflammatory Phenotype in Critically Ill Patients Lacks Biological Subsets by Targeted Proteomics & Transcriptomics

S. Tripathi et al. · Am. J. Respir. Crit. Care Med. — ATS (oral)
2026

Development & Validation of an Improved Parsimonious Model for Hyperinflammatory Phenotype Classification

S. Tripathi et al. · AJRCCM — ATS (rapid poster discussion)
2026

Sepsis Subphenotypes Have Distinct Premorbid Medical Disease Profiles with Increased Long-Term Morbidity Burden and Late Mortality

V.E. Kerchberger, S. Tripathi et al. · AJRCCM
2026

Premorbid Metabolic Syndrome and Metabolic Drugs Are Associated with the Hypo-Inflammatory Sepsis Phenotype

S. Al Sharie, S. Tripathi et al. · AJRCCM
2026

Evaluating the Relationship Between Pathogen Taxonomy and the Hyperinflammatory Phenotype in Sepsis Using MIMIC-IV

T.P. Budelier, S. Tripathi et al. · AJRCCM
2026

Neutropenic Sepsis Is Associated with a Distinct Circulating Host-Response Signature

A.S. Hartlage, S. Tripathi et al. · AJRCCM
2025

Prognostic Value of the Hyperinflammatory Phenotype Declines Over the Course of Critical Illness

S. Tripathi, B. Bartek, R.B.E. van Amstel, L.D.J. Bos … C.S. Calfee, P. Sinha · AJRCCM, 211:A3136
2025

Heterogeneous Treatment Effects Observed in ARDS Patients Stratified by Vasopressor Use and PEEP Strategies

B. Bartek, S. Tripathi, M.V. Maddali … C.S. Calfee, P. Sinha · AJRCCM, 211:A1221
2022

Algorithmic Bias in Machine-Learning-Based Delirium Prediction

S. Tripathi, B.A. Fritz, M.S. Avidan, Y. Chen, C.R. King · ML4H Symposium (extended abstract)
2020

Attribute Noise Robust Binary Classification (Student Abstract)

A. Petety, S. Tripathi, N. Hemachandra · AAAI Conference on Artificial Intelligence, 34:13897–13898
© Sandhya Tripathi ← back to home