Khalid Group | Planetary Health Informatics (PHI)
Welcome to the Planetary Health Informatics Group. We use artificial intelligence, computational modelling, and remote monitoring methods to analyse big real-world data and develop models towards equitable and ethical solutions for planetary health problems.
Our key focus areas are
- Artificial intelligence for health equity
- Machine learning for conservation, restoration, and rewilding
- Curation of linked health, environment, and climate data
We work closely with clinical and environmental epidemiologists, clinicians, conservationists, data scientists, engineers, public and patient groups to co-create local solutions to global planetary health problems.
A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data
Khalid S. et al, (2021), Computer methods and programs in biomedicine, 211, 106394 - 106394
Association of Tramadol vs Codeine Prescription Dispensation With Mortality and Other Adverse Clinical Outcomes.
Xie J. et al, (2021), Jama, 326, 1504 - 1515
PINEDO VILLANUEVA R. et al, (2021)
One- and 2-year incidence of osteoporotic fracture: a multi-cohort observational study using routinely collected real-world data.
Khalid S. et al, (2021), Osteoporos int
Predicting Imminent Fractures in Patients With a Recent Fracture or Starting Oral Bisphosphonate Therapy: Development and International Validation of Prognostic Models.
Khalid S. et al, (2021), J bone miner res, 36, 2162 - 2176
11 November 2021
NDORMS is leading one of nine new studies awarded total of £2m to use large-scale linked data to address priority research questions that will improve understanding of the pandemic and inform the continued policy response.
23 July 2021
The links between different long-term health conditions will be explored in new research funded with a £2.5million grant from the Medical Research Council.