Asthma UK

Predicting asthma attacks in primary care: protocol for developing a machine learning-based prediction model

Holly Tibble, Athanasios Tsanas, Elsie Horne et al.

2019 · 50 Zit.

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

Arif Budiarto, Kevin C.H. Tsang, Andrew M. Wilson et al.

2023 · 22 Zit.

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

Zain Hussain, Syed Ahmar Shah, Mome Mukherjee et al.

2020 · 19 Zit.

Patient views on asthma diagnosis and how a clinical decision support system could help: A qualitative study

Anne Canny, Eddie Donaghy, Victoria Murray et al.

2022 · 15 Zit.

Clinician views on how clinical decision support systems can help diagnose asthma in primary care: a qualitative study

Luke Daines, Eddie Donaghy, Anne Canny et al.

2023 · 6 Zit.

"Help Humans Make the Right Decisions.” Patient Perspectives on Artificial Intelligence (AI) Supporting Clinicians in the Interpretation of Spirometry: A Qualitative Study

Gillian Doe, Stephanie Taylor, Graeme Edwards et al.

2025 · 0 Zit.

Response: To the Comment on AI-Assisted Spirometry Interpretation in Primary Care: A Randomized Controlled Trial

Gillian Doe, Winston Banya, George Edwards et al.

2025 · 0 Zit.

S11 SPIRO-AID: a randomized controlled trial of AI-assisted spirometry interpretation in primary care

G Doe, Winston Banya, George Edwards et al.

2025 · 0 Zit.