S. Saria

发表

Big data in health care: using analytics to identify and manage high-risk and high-cost patients.

D. Bates, S. Saria, L. Ohno-Machado, 2014, Health affairs.

Do no harm: a roadmap for responsible machine learning for health care

David C. Kale, S. Saria, A. Goldenberg, 2019, Nature Medicine.

Evaluating Model Robustness and Stability to Dataset Shift

Suchi Saria, Adarsh Subbaswamy, Roy Adams, 2021, AISTATS.

Integration of Early Physiological Responses Predicts Later Illness Severity in Preterm Infants

D. Koller, S. Saria, A. Rajani, 2010, Science Translational Medicine.

A targeted real-time early warning score (TREWScore) for septic shock

P. Pronovost, S. Saria, K. Henry, 2015, Science Translational Medicine.

What-If Reasoning with Counterfactual Gaussian Processes pdf

Suchi Saria, Peter Schulam, S. Saria, 2017, NIPS 2017.

Measuring Patient Mobility in the ICU Using a Novel Noninvasive Sensor

D. Needham, S. Saria, A. Reiter, 2017, Critical care medicine.

3D Sensing Algorithms Towards Building an Intelligent Intensive Care Unit

Russell H. Taylor, Gregory Hager, S. Saria, 2013, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Reliable Decision Support using Counterfactual Models

Suchi Saria, Peter Schulam, S. Saria, 2017, NIPS.

Individualized sepsis treatment using reinforcement learning

S. Saria, 2018, Nature Medicine.

Learning Treatment-Response Models from Multivariate Longitudinal Data pdf

Suchi Saria, Hossein Soleimani, Adarsh Subbaswamy, 2017, UAI.

Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction

Suchi Saria, James Hensman, Hossein Soleimani, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Discovering shared and individual latent structure in multiple time series pdf

Suchi Saria, Daphne Koller, Anna Penn, 2010, ArXiv.

Convex envelopes of complexity controlling penalties: the case against premature envelopment

Suchi Saria, Daphne Koller, Vladimir Jojic, 2011, AISTATS.

Learning (predictive) risk scores in the presence of censoring due to interventions

Suchi Saria, Kirill Dyagilev, S. Saria, 2015, Machine Learning.

Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs pdf

Suchi Saria, Ny, Lauren M Sanders, 2021, ArXiv.

Should I Include this Edge in my Prediction? Analyzing the Stability-Performance Tradeoff

S. Saria, Adarsh Subbaswamy, Bryant Chen, 2019 .

Reporting and Implementing Interventions Involving Machine Learning and Artificial Intelligence

S. Saria, A. Wright, Peter F. Schulam, 2020, Annals of Internal Medicine.

Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score

Suchi Saria, Andong Zhan, Andreas Terzis, 2018, JAMA neurology.

Deep Phenotyping of Parkinson’s Disease

Max A. Little, Mohammad Rafayet Ali, Alistair M. Glidden, 2020, Journal of Parkinson's disease.

T HE S TABILITY AND A CCURACY T RADEOFF U NDER D ATASET S HIFT : A C AUSAL G RAPHICAL A NALYSIS

S. Saria, Adarsh Subbaswamy, Bryant Chen, 2021 .

Active Learning for Improving Decision-Making from Imbalanced Data

Aki Vehtari, S. Saria, Peter F. Schulam, 2019 .

Sensing Algorithms Towards Building an Intelligent Intensive Care Unit

Russell H. Taylor, Gregory D. Hager, Suchi Saria, 2013 .

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist

Suchi Saria, Brett K. Beaulieu-Jones, Isaac S Kohane, 2020, Nature Medicine.

Machine Learning-Based Automatic Classification of Video Recorded Neonatal Manipulations and Associated Physiological Parameters: A Feasibility Study

S. Saria, Saket Anand, R. Kaur, 2020, Children.

At the Intersection of Health, Health Care and Policy

D. Bates, S. Saria, L. Ohno-Machado, 2014 .

Using Causal Inference to Estimate What-if Outcomes for Targeting Treatments

S. Saria, K. Henry, Yanbo Xu, 2016 .

Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Spiros C. Denaxas, S. Saria, D. Clifton, 2022, BMJ.

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Spiros C. Denaxas, S. Saria, D. Clifton, 2022, Nature Medicine.

Health Affairs High-Cost Patients Big Data In Health Care : Using Analytics To Identify And Manage High-Risk And Escobar

D. Bates, S. Saria, L. Ohno-Machado, 2014 .

Using Machine Learning for Early Prediction of Cardiogenic Shock in Patients With Acute Heart Failure

S. Saria, S. Schulman, A. Alyakin, 2022, Journal of the Society for Cardiovascular Angiography & Interventions.

Early Detection of Poor Adherers to Statins: Applying Individualized Surveillance to Pay for Performance

Magdalena A. Jonikas, Andrew J. Zimolzak, S. Saria, 2013, PloS one.

Development and validation of a prediction model for insulin-associated hypoglycemia in non-critically ill hospitalized adults

P. Pronovost, S. Saria, H. Yeh, 2018, BMJ Open Diabetes Research & Care.

JAWS: Predictive Inference Under Covariate Shift

S. Saria, Anqi Liu, Anqi Liu, 2022, ArXiv.

Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis

S. Cosgrove, S. Saria, E. Klein, 2022, Nature Medicine.

Predictive Analytics in Healthcare (HPA): Considerations and Challenges

Suchi Saria, Lucila Ohno-Machado, Paul C. Tang, 2014, AMIA.

The digital patient: machine learning techniques for analyzing electronic health record data

S. Saria, 2011 .

Medicine 2032: The future of cardiovascular disease prevention with machine learning and digital health technology

Donald E. Brown, S. Saria, Nino Isakadze, 2022, American journal of preventive cardiology.

A unifying causal framework for analyzing dataset shift-stable learning algorithms

S. Saria, Adarsh Subbaswamy, Bryant Chen, 2019, Journal of Causal Inference.

Human–machine teaming is key to AI adoption: clinicians’ experiences with a deployed machine learning system

S. Saria, K. Henry, R. Kornfield, 2022, npj Digital Medicine.

In-Utero Exposure to Cigarette Smoking on Child Long-Term Risk of Obesity: Concordance of Self-Report, Maternal and Cord Blood Biomarkers

L. Liang, S. Saria, Hongkai Ji, 2021 .

The Clinician and Dataset Shift in Artificial Intelligence.

S. Saria, I. Kohane, Adarsh Subbaswamy, 2021, The New England journal of medicine.

A bias evaluation checklist for predictive models and its pilot application for 30-day hospital readmission models

S. Saria, Adarsh Subbaswamy, Hadi Kharrazi, 2022, J. Am. Medical Informatics Assoc..

Microsoft Word-nqac237.docx

Corby K. Martin, A. Barabasi, T. Spector, 2022 .

A Random Forest Genomic Classifier for Tumor Agnostic Prediction of Response to Anti-PD1 Immunotherapy

S. Saria, E. Jaffee, E. Fertig, 2022, Cancer informatics.

JAWS: Auditing Predictive Uncertainty Under Covariate Shift

S. Saria, Anqi Liu, Drew Prinster, 2022, NeurIPS.

Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing

S. Cosgrove, S. Saria, E. Klein, 2022, Nature Medicine.

A prospective birth cohort study of maternal prenatal cigarette smoking assessed by self-report and biomarkers on childhood risk of overweight or obesity

L. Liang, S. Saria, Hongkai Ji, 2022, Precision nutrition.

A Non-parametric Bayesian Approach for Estimating Treatment-Response Curves from Sparse Time Series

Suchi Saria, Yanbo Xu, Yanxun Xu, 2016, MLHC.

Better medicine through machine learning: What’s real, and what’s artificial?

Suchi Saria, Aziz Sheikh, Atul Butte, 2018, PLoS medicine.

Subtyping: What It is and Its Role in Precision Medicine

Suchi Saria, Anna Goldenberg, S. Saria, 2015, IEEE Intelligent Systems.

Digital Endpoints: Definition, Benefits, and Current Barriers in Accelerating Development and Adoption

S. Saria, R. Dorsey, M. Landers, 2021, Digital Biomarkers.

A $3 Trillion Challenge to Computational Scientists: Transforming Healthcare Delivery

Suchi Saria, S. Saria, 2014, IEEE Intelligent Systems.

Trading-Off Cost of Deployment Versus Accuracy in Learning Predictive Models

Suchi Saria, Daniel P. Robinson, S. Saria, 2016, IJCAI.

Metadata Concepts for Advancing the Use of Digital Health Technologies in Clinical Research.

Suchi Saria, Max A. Little, Kasper Claes, 2019, Digital biomarkers.

A Bayesian Nonparametic Approach for Estimating Individualized Treatment-Response Curves pdf

Suchi Saria, Yanbo Xu, Yanxun Xu, 2016, ArXiv.

Using Machine Learning for Early Prediction of Cardiogenic Shock in Patients with Acute Heart Failure

S. Saria, S. Schulman, A. Alyakin, 2021, Journal of the Society for Cardiovascular Angiography & Interventions.

Artificial Intelligence for Social Good pdf

Gregory D. Hager, Suchi Saria, Rayid Ghani, 2019, ArXiv.

Predictors of the start of declining eGFR in patients with systemic lupus erythematosus

S. Saria, L. Magder, M. Petri, 2020, Lupus.

Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery

Suchi Saria, Peter Schulam, Fredrick Wigley, 2015, AAAI.

Biological research and self-driving labs in deep space supported by artificial intelligence

Amanda M. Saravia-Butler, Charlotte A. Nelson, Ryan T. Scott, 2023, Nature Machine Intelligence.

Biomonitoring and precision health in deep space supported by artificial intelligence

Amanda M. Saravia-Butler, Charlotte A. Nelson, Benjamin S. Glicksberg, 2023, Nature Machine Intelligence.

Addressing the 'coin flip model' and the role of 'process of care' variables in the analysis of TREWS

S. Saria, K. Henry, R. Adams, 2022, medRxiv.

Evaluating Adoption, Impact, and Factors Driving Adoption for TREWS, a Machine Learning-Based Sepsis Alerting System

S. Cosgrove, S. Saria, A. Wu, 2021, medRxiv.

The Impact of Time Series Length and Discretization on Longitudinal Causal Estimation Methods.

Suchi Saria, Michael Rosenblum, Roy Adams, 2020, 2011.15099.

Too Many Definitions of Sepsis: Can Machine Learning Leverage the Electronic Health Record to Increase Accuracy and Bring Consensus?

S. Saria, K. Henry, 2020, Critical care medicine.

Comparison of Automated Sepsis Identification Methods and Electronic Health Record–based Sepsis Phenotyping: Improving Case Identification Accuracy by Accounting for Confounding Comorbid Conditions

Suchi Saria, Albert W. Wu, Tiffany M. Osborn, 2019, Critical care explorations.

Development and Validation of ARC, a Model for Anticipating Acute Respiratory Failure in Coronavirus Disease 2019 Patients

Jacob E. Sunshine, S. Saria, S. Mooney, 2021, Critical care explorations.

Can You Trust This Prediction? Auditing Pointwise Reliability After Learning

Suchi Saria, Peter Schulam, S. Saria, 2019, AISTATS.

Probabilistic Plan Recognition in Multiagent Systems

Suchi Saria, Sridhar Mahadevan, S. Mahadevan, 2004, ICAPS.

Development and Validation of a Machine Learning Model to Predict Near-Term Risk of Iatrogenic Hypoglycemia in Hospitalized Patients

S. Saria, J. McGready, S. Golden, 2021, JAMA network open.

The Association Between Neighborhood Socioeconomic Disadvantage and Readmissions for Patients Hospitalized With Sepsis

S. Saria, P. Galiatsatos, A. Kind, 2019, Critical care medicine.

Why policymakers should care about “big data” in healthcare

Suchi Saria, David W. Bates, Axel Heitmueller, 2018, Health Policy and Technology.

Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport

Suchi Saria, Adarsh Subbaswamy, Peter Schulam, 2018, AISTATS.

Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls

Suchi Saria, Chris Paxton, Alexandru Niculescu-Mizil, 2013, AMIA.

From development to deployment: dataset shift, causality, and shift-stable models in health AI.

Suchi Saria, Adarsh Subbaswamy, S. Saria, 2019, Biostatistics.

Tutorial: Safe and Reliable Machine Learning pdf

Suchi Saria, Adarsh Subbaswamy, S. Saria, 2019, ArXiv.

Microsoft Cambridge at TREC 13: Web and Hard Tracks

Stephen E. Robertson, Suchi Saria, Nick Craswell, 2004, TREC.

Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Spiros C. Denaxas, S. Saria, D. Clifton, 2022, Nature Medicine.

Partial Identifiability in Discrete Data With Measurement Error pdf

Suchi Saria, Ilya Shpitser, Noam Finkelstein, 2020, UAI.

Development and validation of high definition phenotype-based mortality prediction in critical care units

S. Saria, Saket Anand, Rahul Paul, 2021, JAMIA open.

Learning Models from Data with Measurement Error: Tackling Underreporting

Suchi Saria, Xiaobin Wang, Roy Adams, 2019, ICML.

High Frequency Remote Monitoring of Parkinson's Disease via Smartphone: Platform Overview and Medication Response Detection pdf

Suchi Saria, Andong Zhan, Andreas Terzis, 2016, ArXiv.

The adoption of high-sensitivity troponin assays changes clinical interpretation of detectable troponin levels

S. Saria, I. Kohane, Adarsh Subbaswamy, 2022 .

Correlation of preterm infant illness severity with placental histology.

D. Koller, S. Saria, A. Rajani, 2016, Placenta.

Evaluating Model Robustness to Dataset Shift pdf

Suchi Saria, Adarsh Subbaswamy, Roy Adams, 2020, ArXiv.

Research gaps and opportunities in precision nutrition: an NIH workshop report.

Corby K. Martin, A. Barabasi, T. Spector, 2022, The American journal of clinical nutrition.

A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure

Suchi Saria, Peter Schulam, S. Saria, 2015, NIPS.

Integrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses

Suchi Saria, Peter Schulam, S. Saria, 2016, J. Mach. Learn. Res..

Dissecting an Online Intervention for Cancer Survivors

Suchi Saria, Pang Wei Koh, Erin O'Carroll Bantum, 2015, Health education & behavior : the official publication of the Society for Public Health Education.

Learning Predictive Models That Transport pdf

Suchi Saria, Peter Schulam, Adarsh Subbaswamy, 2018, ArXiv.

Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges

Suchi Saria, Lucila Ohno-Machado, Sudha Ram, 2016, EGEMS.

Will Artificial Intelligence Replace the Movement Disorders Specialist for Diagnosing and Managing Parkinson’s Disease?

S. Saria, A. Espay, Matt Landers, 2021, Journal of Parkinson's disease.

Factors associated with physicians’ prescriptions for rheumatoid arthritis drugs not filled by patients

S. Saria, K. Dyagilev, Peter F. Schulam, 2018, Arthritis Research & Therapy.

An Individualized, Data-Driven Digital Approach for Precision Behavior Change

Suchi Saria, Susan A. Murphy, Scott L. Zeger, 2020, American journal of lifestyle medicine.

Auditing Pointwise Reliability Subsequent to Training pdf

Suchi Saria, Peter Schulam, S. Saria, 2019, ArXiv.