Author: Jenna Reps, Peter R. Rijnbeek
Date: 2026-03-09

# Clinical Models

#### Jenna Reps, Peter R. Rijnbeek

#### 2026-03-09

## Clinical models developed using the OHDSI PatientLevelPrediction framework

Title | Link
--- | ---
Using Machine Learning Applied to Real-World Healthcare Data for Predictive Analytics: An Applied Example in Bariatric Surgery | Value in Health
Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network | PLoS One
Wisdom of the CROUD: development and validation of a patient-level prediction model for opioid use disorder using population-level claims data | PLoS One
Developing predictive models to determine Patients in End-of-life Care in Administrative datasets | Drug Safety
Predictors of diagnostic transition from major depressive disorder to bipolar disorder: a retrospective observational network study | Translational psychiatry
Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network | BMC Medical Research Methodology
90-Day all-cause mortality can be predicted following a total knee replacement: an international, network study to develop and validate a prediction model | Knee Surgery, Sports Traumatology, Arthroscopy
Machine learning and real-world data to predict lung cancer risk in routine care | Cancer Epidemiology, Biomarkers & Prevention
Development and validation of a patient-level model to predict dementia across a network of observational databases | BMC medicine