Curtis B. Storlie

Mayo Clinic in Florida — United States

Decision Sciences · Social Sciences

34h-index4.9kcitations142works2.52yr avg
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Research Topics

Probabilistic and Robust Engineering Design(20), Bayesian Methods and Mixture Models(17), Advanced Multi-Objective Optimization Algorithms(15), Machine Learning in Healthcare(15), Network Security and Intrusion Detection(13)

Publications142 total

Gated recurrent unit with decay has real-time capability for postoperative ileus surveillance and offers cross-hospital transferability
Communications Medicine·2025· 1 citedOpen Access
A Bayesian Approach to Multistate Hidden Markov Models: Application to Dementia Progression
UNC Libraries·2024· 4 citedOpen Access
Bayes Watch: Bayesian Change-point Detection for Process Monitoring with Fault Detection
arXiv (Cornell University)·2023Open Access
Effect of an Artificial Intelligence Decision Support Tool on Palliative Care Referral in Hospitalized Patients: A Randomized Clinical Trial
Journal of Pain and Symptom Management·2023· 50 citedOpen Access
A Novel Alternating Joint Longitudinal Model for Post-ICU Hemoglobin Prediction
arXiv (Cornell University)·2023Open Access
Impact of a machine learning algorithm on time to palliative care in a primary care population: protocol for a stepped-wedge pragmatic randomized trial
BMC Palliative Care·2023· 8 citedOpen Access
P3-6 Additional remarks: randomized trial of a novel artificial intelligence/machine learning model to predict the need for specialty palliative care in hospitalized patients
2023Open Access
Real-time risk prediction of colorectal surgery-related post-surgical complications using GRU-D model
Journal of Biomedical Informatics·2022· 21 cited
A Novel Joint Longitudinal Model for Predicting Post-ICU Anemia
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)·2022
Bayesian Change Point Detection for Mixed Data with Missing Values
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)·2022
Use of Machine Learning Algorithm to Identify Patients in Need of Palliative Care in a Primary Care Population: A Pilot Study (RP502)
Journal of Pain and Symptom Management·2022
Targeted Therapy: Improving the Delivery of Palliative Care Through Artificial Intelligence/Machine Learning Models
Journal of Pain and Symptom Management·2022
Randomized Trial of a Novel Artificial Intelligence/Machine Learning Model to Predict the Need for Specialty Palliative Care
Journal of Pain and Symptom Management·2022· 1 cited
Real-World Incidence of Breakthrough Coronavirus Disease 2019 Hospitalization After Vaccination vs Natural Infection in a Large, Local, Empaneled Primary Care Population Using Time-to-Event Analysis
Clinical Infectious Diseases·2022· 3 citedOpen Access
Risk Prediction Model for 6-Month Mortality for Patients Discharged to Skilled Nursing Facilities
Journal of the American Medical Directors Association·2022· 8 citedOpen Access
Assessment of Data Quality Variability across Two EHR Systems through a Case Study of Post-Surgical Complications
PubMed·2022· 18 citedOpen Access
Sensitivity analysis in classification using Bayesian smoothing spline ANOVA probit regression
Canadian Journal of Statistics·2021· 1 cited
Clinical implementation of a machine learning system to detect deteriorating patients reduces time to response and intervention
2021· 1 citedOpen Access
Improving time to palliative care review with predictive modeling in an inpatient adult population: study protocol for a stepped-wedge, pragmatic randomized controlled trial
Trials·2021· 17 citedOpen Access
Early Detection of Post-Surgical Complications using Time-series Electronic Health Records.
PubMed·2021· 6 citedOpen Access
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Frequent Co-authors

J.C. Helton(6), Elizabeth B. Habermann(6), Patrick M. Wilson(5), Blake Anderson(4), Joshua Neil(4), Hongfang Liu(4), Brian J. Reich(4), Daryl J. Kor(4), Cedric Jean-Marie Sallaberry(3), Laura Swiler(3), Curtis Hash(3), Howard D. Bondell(3), Dennis H. Murphree(3), Daniel Quist(2), Terran Lane(2), Sijia Liu(2), James M. Naessens(2), David W. Larson(2), Thomas C. M. Lee(2), Che Ngufor(2)