Syed Ahmar Shah

Machine Learning–Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review

2023 · 23 Zit. · JMIR AI

Predicting the risk of asthma attacks in children, adolescents and adults: protocol for a machine learning algorithm derived from a primary care-based retrospective cohort

2020 · 19 Zit. · BMJ Open

DIGIPREDICT: physiological, behavioural and environmental predictors of asthma attacks—a prospective observational study using digital markers and artificial intelligence—study protocol

2024 · 8 Zit. · BMJ Open Respiratory Research

Research priorities for data science and artificial intelligence in global health: an international consensus exercise

2026 · 1 Zit. · The Lancet Global Health

Protocol for development of a checklist and guideline for transparent reporting of cluster analyses (TRoCA)

2025 · 0 Zit. · BMJ Open

Radiology-based artificial intelligence for predicting targeted therapy response in pan-cancer: a comprehensive review

2025 · 0 Zit. · Journal of Translational Medicine