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Computer Science

D-Index
39
Citations
7900
World Ranking
9638
National Ranking
4083

Research.com Recognitions

  • 2018 - Fellow of Alfred P. Sloan Foundation

Overview

Suchi Saria is a researcher affiliated with Johns Hopkins University in the United States. Their work spans the fields of Medicine and Computer Science, with a particular focus on Artificial Intelligence and Health Informatics. Research topics cover Machine Learning in Healthcare, Artificial Intelligence in Healthcare and Education, and Sepsis Diagnosis and Treatment among others.

The main areas of study include:

  • Medicine
  • Computer Science

Subfields of their research include:

  • Artificial Intelligence
  • Health Informatics
  • Epidemiology
  • Health Information Management
  • Public Health, Environmental and Occupational Health

The primary research topics addressed in their publications are:

  • Machine Learning in Healthcare
  • Artificial Intelligence in Healthcare and Education
  • Sepsis Diagnosis and Treatment
  • Artificial Intelligence in Healthcare
  • Health, Environment, Cognitive Aging
  • Clinical Reasoning and Diagnostic Skills
  • Heart Failure Treatment and Management

Selected recent papers include:

  • Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist, 2020, Nature Medicine
  • Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis, 2022, Nature Medicine
  • Human-machine teaming is key to AI adoption: clinicians' experiences with a deployed machine learning system, 2022, npj Digital Medicine
  • Reporting and Implementing Interventions Involving Machine Learning and Artificial Intelligence, 2020, Annals of Internal Medicine
  • Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing, 2022, Nature Medicine

Frequent coauthors with whom Suchi Saria collaborates include:

  • Roy J. Adams
  • Katharine E. Henry
  • Adarsh Subbaswamy
  • Anirudh Sridharan
  • Hossein Soleimani

Their work is often published in venues such as:

  • arXiv (Cornell University)
  • Nature Medicine
  • Critical Care Medicine
  • JAMA
  • npj Digital Medicine

Suchi Saria was awarded the Fellow of the Alfred P. Sloan Foundation in 2018.

Best Publications

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

    David W. Bates;Suchi Saria;Lucila Ohno-Machado;Anand Shah

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

    Jenna Wiens;Suchi Saria;Mark Sendak;Marzyeh Ghassemi

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

    Katharine E. Henry;David N. Hager;Peter J. Pronovost;Suchi Saria

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

    Beau Norgeot;Giorgio Quer;Brett K. Beaulieu-Jones;Ali Torkamani

  • The Clinician and Dataset Shift in Artificial Intelligence.

    Samuel G. Finlayson;Adarsh Subbaswamy;Karandeep Singh;John Bowers

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

    Andong Zhan;Srihari Mohan;Christopher Tarolli;Ruth B. Schneider

  • Microsoft Cambridge at TREC 13: Web and Hard Tracks.

    Hugo Zaragoza;Nick Craswell;Michael J. Taylor;Suchi Saria

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

    Adarsh Subbaswamy;Suchi Saria

  • Subtyping: What It is and Its Role in Precision Medicine

    Suchi Saria;Anna Goldenberg

  • Reliable Decision Support using Counterfactual Models

    Peter Schulam;Suchi Saria

  • Developing predictive models using electronic medical records: challenges and pitfalls.

    Chris Paxton;Alexandru Niculescu-Mizil;Suchi Saria

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

    Suchi Saria;Atul Butte;Aziz Sheikh

  • Clustering longitudinal clinical marker trajectories from electronic health data: applications to phenotyping and endotype discovery

    Peter Schulam;Fredrick Wigley;Suchi Saria

  • A framework for individualizing predictions of disease trajectories by exploiting multi-resolution structure

    Peter Schulam;Suchi Saria

  • Reporting and Implementing Interventions Involving Machine Learning and Artificial Intelligence.

    David W. Bates;Andrew Auerbach;Peter Schulam;Adam Wright

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

    Adarsh Subbaswamy;Peter Schulam;Suchi Saria

  • Can You Trust This Prediction? Auditing Pointwise Reliability After Learning

    Peter Schulam;Suchi Saria

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

    Andong Zhan;Max A. Little;Denzil A. Harris;Solomon O. Abiola

  • Probabilistic plan recognition in multiagent systems

    Suchi Saria;Sridhar Mahadevan

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

    Nestoras N. Mathioudakis;Mohammed S. Abusamaan;Ahmed F. Shakarchi;Sam Sokolinsky

  • Reasoning at the right time granularity

    Suchi Saria;Uri Nodelman;Daphne Koller

  • Artificial intelligence for social good

    Gregory D. Hager;Ann W. Drobnis;Fei Fang;Rayid Ghani

  • Tutorial: Safe and reliable machine learning

    Suchi Saria;Adarsh Subbaswamy

Frequent Co-Authors

Daphne Koller
Daphne Koller insitro Inc.
Max A. Little
Max A. Little University of Birmingham
Lucila Ohno-Machado
Lucila Ohno-Machado University of California, San Diego
Isaac S. Kohane
Isaac S. Kohane Harvard University
Gaurav Sharma
Gaurav Sharma University of Rochester
Katherine A. Heller
Katherine A. Heller Google (United States)
Samuel Kaski
Samuel Kaski Aalto University
Aki Vehtari
Aki Vehtari Aalto University

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