David A. Jenkins

According to our database, David A. Jenkins authored at least 9 papers between 2002 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Current methods for analyzing time-series patient-generated health data to assess treatment response: a scoping review.

Michelo Banda, Siân Bladon, Mariam Al-Attar, Roberto Cahuantzi, David A. Jenkins, William G. Dixon, Sabine N. van der Veer

J. Am. Medical Informatics Assoc., 2026

2025

Will Large Language Models Transform Clinical Prediction?

Yusuf Yildiz, Goran Nenadic, Meghna Jani, David A. Jenkins

CoRR, May, 2025

A systematic review of machine learning applications in predicting opioid associated adverse events.

Carlos R. Ramírez Medina, Jose Benitez-Aurioles, David A. Jenkins, Meghna Jani

npj Digit. Medicine, 2025

2023

Compatibility in Missing Data Handling Across the Prediction Model Pipeline: A Simulation Study.

Antonia Tsvetanova, Matthew Sperrin, David A. Jenkins, Niels Peek, Iain E. Buchan, Stephanie L. Hyland, Glen P. Martin

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Comparing Predictive Performance of Time Invariant and Time Variant Clinical Prediction Models in Cardiac Surgery.

David A. Jenkins, Glen P. Martin, Matthew Sperrin, Benjamin Brown, Linda Kimani, Stuart Grant, Niels Peek

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2021

Patient Safety Informatics: Meeting the Challenges of Emerging Digital Health.

Ciarán McInerney, Jonathan Benn, Dawn Dowding, Ibrahim Habli, David A. Jenkins, Carolyn McCrorie, Niels Peek, Rebecca Randell, Richard Williams, Owen A. Johnson

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

2020

Towards a Framework for the Design, Implementation and Reporting of Methodology Scoping Reviews.

Glen P. Martin, David A. Jenkins, Lucy Bull, Rose Sisk, Lijing Lin, William Hulme, Anthony Wilson, Wenjuan Wang, Michael Barrowman, Camilla Sammut-Powell, Alexander Pate, Matthew Sperrin, Niels Peek

CoRR, 2020

2019

Explicit causal reasoning is needed to prevent prognostic models being victims of their own success.

Matthew Sperrin, David A. Jenkins, Glen P. Martin, Niels Peek

J. Am. Medical Informatics Assoc., 2019

2002

A conditional density error model for the statistical analysis of microarray data.

Brad Love, David R. Rank, Sharron G. Penn, David A. Jenkins, Russell S. Thomas

Bioinform., 2002