Publications
49
Citations
2,770
Est. group size
—
Recurring co-author estimate
Active years
35
Publishing since 1992
This researcher develops and validates machine learning tools that predict clinical deterioration in hospitalized patients, including risk scores for early warning of sepsis/infection, respiratory failure, and mortality. The work focuses on using routinely collected clinical data (like vital signs and lab tests) to build models that help hospital staff intervene earlier for at-risk patients. Note that a few unrelated publications on lake ecology and phosphorus loss appear in this record, likely reflecting a data or author-matching artifact rather than this researcher's core work.
Publication output has grown over the last decade, rising from about 2-3 papers per year in the late 2010s to a peak of 6 in 2024, with a 5-year average of 3.6 papers annually.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Development and External Validation of a Machine Learning Model to Predict Bilevel Noninvasive Ventilation Failure in Hospitalized Patients
CHEST Critical Care · 2026
- Multicenter Development and Prospective Validation of eCARTv5: A Gradient-Boosted Machine-Learning Early Warning Score
Critical Care Explorations · 2025
- Exploring management and environment effects on edge‐of‐field phosphorus losses with linear mixed models
Journal of Environmental Quality · 2025
- Development and external validation of a machine learning model to predict high flow nasal cannula failure
BMJ Open Respiratory Research · 2025
- EARLY VS LATE FAILURE OF HIGH-FLOW NASAL CANNULA IN ACUTE HYPOXIC RESPIRATORY FAILURE: A PROPENSITY-MATCHED ANALYSIS
CHEST Journal · 2025
- Causes, Diagnostic Testing, and Treatments Related to Clinical Deterioration Events Among High-Risk Ward Patients
Critical Care Explorations · 2024
- Development and Validation of a Machine Learning COVID-19 Veteran (COVet) Deterioration Risk Score
Critical Care Explorations · 2024
- Multicenter Development and Prospective Validation of eCARTv5: A Gradient Boosted Machine Learning Early Warning Score
medRxiv · 2024
- Causes, Diagnostic Testing, and Treatments Related to Clinical Deterioration Events among High-Risk Ward Patients
medRxiv · 2024
- DEVELOPMENT AND EXTERNAL VALIDATION OF A MACHINE LEARNING MODEL TO PREDICT BILEVEL NONINVASIVE VENTILATION FAILURE IN HOSPITALIZED PATIENTS
CHEST Journal · 2024
- Development and Validation of a Machine Learning Model for Early Detection of Untreated Infection
Critical Care Explorations · 2024
- Using Machine Learning to Predict the Diagnosis Causing Clinical Deterioration in Hospitalized Patients
2023
- Characterizing In-Hospital Clinical Deterioration From Conditions Present on Admission Versus Hospital-Acquired Conditions
2023
- Multicenter Development and External Validation of a Machine Learning Model to Identify Hospitalized Patients With Untreated Infection
2023
- Introduction to the special section: Status and approaches to assess Lake Erie Central Basin hypoxia
Journal of Great Lakes Research · 2023
- Critical Care Medicine×4
- Critical Care Explorations×4
- JAMA Network Open×2
- Journal of Great Lakes Research×2
- medRxiv×2
- Joseph Dasta
Medicine · The Ohio State University
- Steven M. Steinberg
Medicine · The Ohio State University
- Jon Wisler
Medicine · The Ohio State University
- Daniel T. Cater
Medicine · Indiana University
- M. Thiel
Medicine · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile