Matthew Sperrin

Consistency of variety of machine learning and statistical models in predicting clinical risks of individual patients: longitudinal cohort study using cardiovascular disease as exemplar

2020 · 141 Zit. · BMJ

Clinical prediction in defined populations: a simulation study investigating when and how to aggregate existing models

2017 · 60 Zit. · BMC Medical Research Methodology

Informative presence and observation in routine health data: A review of methodology for clinical risk prediction

2020 · 39 Zit. · Journal of the American Medical Informatics Association

Impact of sample size on the stability of risk scores from clinical prediction models: a case study in cardiovascular disease

2020 · 32 Zit. · Diagnostic and Prognostic Research

Understanding clinical prediction models as ‘innovations’: a mixed methods study in UK family practice

2016 · 25 Zit. · BMC Medical Informatics and Decision Making

Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic review

2025 · 18 Zit. · Journal of Clinical Epidemiology

Multivariable and Bayesian Network Analysis of Outcome Predictors in Acute Aneurysmal Subarachnoid Hemorrhage: Review of a Pure Surgical Series in the Post-International Subarachnoid Aneurysm Trial Era

2017 · 15 Zit. · Operative Neurosurgery

Updating methods for artificial intelligence–based clinical prediction models: a scoping review

2024 · 10 Zit. · Journal of Clinical Epidemiology

Consistency of ranking was evaluated as new measure for prediction model stability: longitudinal cohort study

2021 · 1 Zit. · Journal of Clinical Epidemiology

Developing an AI-Assisted Tool That Identifies Patients With Multimorbidity and Complex Polypharmacy to Improve the Process of Medication Reviews: Qualitative Interview and Focus Group Study

2025 · 0 Zit. · Journal of Medical Internet Research