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.
Our team
-
Sara Khalid
University Research Lecturer, Senior Research Fellow in Biomedical Data Science and Health Informatics
-
Marta Pineda
Postdoctoral research assistant in Health Data
-
Leena Elhussein
DPhil Student
-
Scott Small
DPhil Student
-
Mike Du
Research Assistant in Health Data Sciences
-
Yuchen Guo
Research Assistant in Statistics
-
Klara Berencsi
DPhil Student
-
Junqing Xie
DPhil student & Research Assistant in Pharmaco-epidemiology (Part-time)
-
Antonella Delmestri
Lead Health Data Scientist
Recent publications
A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data
Journal article
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.
Journal article
Xie J. et al, (2021), Jama, 326, 1504 - 1515
Costes y beneficios del programa de prevención de fractura FLS en España
Conference paper
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.
Journal article
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.
Journal article
Khalid S. et al, (2021), J bone miner res, 36, 2162 - 2176
Latest news
New advanced analytics research to deliver next level of insights into COVID-19
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.
NDORMS joins research partnership to understand links between overlapping long-term conditions
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.