Published on in Vol 11, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34405, first published .
Development and Validation of Population Clusters for Integrating Health and Social Care: Protocol for a Mixed Methods Study in Multiple Long-Term Conditions (Cluster-Artificial Intelligence for Multiple Long-Term Conditions)

Development and Validation of Population Clusters for Integrating Health and Social Care: Protocol for a Mixed Methods Study in Multiple Long-Term Conditions (Cluster-Artificial Intelligence for Multiple Long-Term Conditions)

Development and Validation of Population Clusters for Integrating Health and Social Care: Protocol for a Mixed Methods Study in Multiple Long-Term Conditions (Cluster-Artificial Intelligence for Multiple Long-Term Conditions)

Hajira Dambha-Miller 1, PhD;  Glenn Simpson 1, PhD;  Ralph K Akyea 2, PhD;  Hilda Hounkpatin 1, PhD;  Leanne Morrison 1, PhD;  Jon Gibson 3, PhD;  Jonathan Stokes 3, PhD;  Nazrul Islam 4, PhD;  Adriane Chapman 5, PhD;  Beth Stuart 1, PhD;  Francesco Zaccardi 6, PhD;  Zlatko Zlatev 5, MSc;  Karen Jones 7, PhD;  Paul Roderick 8, PhD;  Michael Boniface 5, PhD;  Miriam Santer 1, PhD;  Andrew Farmer 9, MD

1 Primary Care Research Centre , Southampton , GB

2 University of Nottingham , Nottingham , GB

3 Division of Population Health, Health Services Research & Primary Care, University of Manchester , Manchester , GB

4 University of Oxford , Oxford , GB

5 Electronic and Computer Science Centre for Health Technologies, University of Southampton , Southampton , GB

6 Diabetes Research Centre, University of Leicester , Leicester , GB

7 Centre for the Study of Health, Science and Environment, University of Kent , Kent , GB

8 Public Health, University of Southampton , Southampton , GB

9 Nuffield Department of Primary Care Health Sciences, University of Oxford , Oxford , GB

Corresponding Author: