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Jaspreet Kaur

Research Fellow, Faculty of Medicine & Health Sciences

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Biography

Dr Jaspreet Kaur is a Research Fellow at the University of Nottingham. She obtained a Bachelor of Ayurvedic Medicine and Surgery from Baba Farid University of Health Sciences, Punjab (India), in 2006. She worked as a Resident Doctor for four years. Then, she completed her Master in Public Health from Oxford Brookes University (UK) in Merit in 2010. She also holds a postgraduate diploma in healthcare management. She completed her PhD in Academic Rheumatology from the University of Nottingham. While pursuing her PhD, she won the oral presentation in the opening plenary session at the 2019 EULA R-congress in Spain. For which she also won a travel bursary. In the last year of PhD, she started working as Research Assistant with Dr. Kaushik Chattopadhyay's research team. Currently, she is working with Professor Richard Hubbard, Professor David Baldwin and Dr Emma O'Dowd.

Membership in Professional Bodies

- Registered with the Board of Ayurvedic and Unani Systems of Medicine Punjab under the Indian Medical Council

Expertise Summary

Keywords:

Osteoarthritis, Rheumatoid arthritis, Fibromyalgia, Diabetes, Atrial Fibrillation, Lung cancer, lifestyle, chronic diseases, pharma-co-epidemiology, statistics, epidemiology, systematic reviews (Cochrane guideline-based systematic reviews or guideline-based), meta-analysis, network-meta-analysis, survival analysis, propensity score analysis, mixed methods, observational studies, evaluation of long term exposures of drugs, i.e. paracetamol, steroidal injections, risk prediction modelling such as logistic or cox regression modelling, large database researches, competing-cause of mortality, clinical and public health interventions, yoga,

Teaching Summary

I have been actively involved in teaching and training at the undergraduate and postgraduate levels. Currently, I lead a case-control session for the Epidemiology module for the master's in Public… read more

Research Summary

- To develop a new mathematical model using a large primary healthcare-based electronic database, i.e. Clinical Practice Research Datalink (CPRD), to predict lung cancer occurrence over 5 and 6 years.

- To develop a risk prediction model for lung cancer using a Machine Learning approach.

- Accuracies of clinical risk prediction tools derived using artificial intelligence and traditional statistical methodologies for predicting new-onset atrial fibrillation (AF) in adults within community settings

Selected Publications

I have been actively involved in teaching and training at the undergraduate and postgraduate levels. Currently, I lead a case-control session for the Epidemiology module for the master's in Public health and MPH global health.

Undergraduate

I mentored undergraduate medical students for critical appraisal in research. I also supervised a clinical fellow on her research project.

Postgraduate

I have also assisted a post-graduate student with risk prediction modelling for her PhD project.

School of Medicine

University of Nottingham
Medical School
Nottingham, NG7 2UH

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