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Munir Pirmohamed

University of Liverpool

SCHOLARLY PAPERS

2

DOWNLOADS

194

TOTAL CITATIONS

1

Scholarly Papers (2)

1.

Use of Sodium Valproate and Other Anti-Seizure Medications in England and Wales During the COVID-19 Pandemic: A Population-Level Analysis of 60 Million Individuals

Number of pages: 56 Posted: 23 Aug 2023
University College London - Institute of Health Informatics, University of Liverpool, University of Liverpool, Swansea University - Population Data Science, Government of the United Kingdom - Royal Free London NHS Foundation Trust, University College London - University College London Hospitals NHS Foundation Trust, University College London, University College London - Institute of Health Informatics, University of Edinburgh, University of Strathclyde, University of Strathclyde - Strathclyde Institute of Pharmacy and Biomedical Science, King’s College London - ESRC Centre for Society and Mental Health, Keele University - Research Institute for Primary Care and Health Sciences, University of Leicester - Leicester Diabetes Centre, Swansea University - Population Data Science, University of Edinburgh - Edinburgh Medical School, University of Liverpool, The Walton Centre NHS Foundation Trust, affiliation not provided to SSRN, Health Data Research UK, University of Liverpool - Department of Pharmacology and Therapeutics and Independent
Downloads 145 (508,926)
Citation 1

Abstract:

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Sodium valproate, epilepsy, pregnancy, electronic health records

2.

Nephrotrend: A Deep Learning Framework for Worsening Renal Function Monitoring in Heart Failure Patients

Number of pages: 38 Posted: 07 Jul 2025
University of Liverpool, Liverpool Heart and Chest Hospital, Liverpool University Hospitals NHS Foundation Trust, University of Liverpool, University of Liverpool, affiliation not provided to SSRN, The University of Manchester - Manchester Academic Health Science Centre (MAHSC) and The University of Manchester - Division of Psychology and Mental Health
Downloads 49 (1,074,648)

Abstract:

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Renal function, heart failure, Prediction Model, LSTM, Serum creatinine, Machine Learning, deep learning, electronic health records, Clinical data science, artificial intelligence, AI