| 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 |
