Ameen Abu-Hanna

Biosketch

Ameen Abu-Hanna is full professor at the department of Medical Informatics at the Amsterdam University Medical Center, University of Amsterdam. He is the departmental methodology group leader and PI with interest in statistical machine learning including development and validation of prediction models; sub-group discovery; natural language processing; causal inference; ontologies; and decision support systems. He was former: head of department, president of the European Society of AI in Medicine; associate editor of Journal of Biomedical Informatics, and vice-chair of the Medical Informatics educational board at the University of Amsterdam. In 2017 he was elected a Founding Fellow of the International Academy of Health Sciences Information. Ameen has co-organized the AI in Medicine conference in Amsterdam and many events including tens of workshops, tutorials, and invited lectures. He has a BSc (Cum Laude) in computer engineering, MSc in computer science, and a PhD in AI.

Ameen has invested in co-creating networks with clinicians and clinical researchers based on meaningful collaborations. The main clinical specialties include: primary care, geriatric medicine, intensive care, perinatology and cardiology.

My publications: 

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PhD dissertations in which I was a supervisor (promotor or copromotor):

O'Sullivan, R. M. (2025). Adverse drug event detection in intensive care unit electronic health record data: Using natural language processing in Dutch clinical text. [Thesis, Universiteit van Amsterdam].

Westerbeek, L. (2024). From dialogue to decision: Using technology to facilitate shared decision-making in a fall prevention context. [Thesis,  Universiteit van Amsterdam].

Wortel, S. A. (2024). ICU efficiency: Methods and applications in the general and COVID-19 ICU population. [Thesis, Universiteit van Amsterdam].

van de Loo, B. (2024). Falls in older adults: Prediction, the role of medication and the use of decision support. [Thesis, Universiteit van Amsterdam].

Al-Farra, H. (2023). Prediction models for mortality after transcatheteric aortic valve implantation (TAVI). [Thesis, Universiteit van Amsterdam].

Bakker, T. (2023). Potential drug-drug interactions in the intensive care: Frequency, clinical relevance and improvement strategy. [Thesis, Universiteit van Amsterdam].

Dormosh, N. (2023). Fall risk prediction and validation in older adults: Leveraging electronic health records with machine learning. [Thesis,  Universiteit van Amsterdam].

Damoiseaux-Volman, B. A. (2022). Decision support in hospital care for older patients: Medication, falls and delirium. [Thesis, Universiteit van Amsterdam].

Kersloot, M. G. (2022). FAIR Data in Medical Research: Incorporating the FAIR Principles in the Research Data Life Cycle. [Thesis, Universiteit van Amsterdam].

Seppälä, L. (2022). Fall-risk-increasing drugs and falls prevention: Towards a personalized approach for medication management. [Thesis,  Universiteit van Amsterdam].

van den Boorn, H. G. (2022). Prediction of treatment outcomes in patients with oesophagogastric cancer. [Thesis, Universiteit van Amsterdam].

Joukes, E. (2019). Implementing structured data in Electronic Health Records. [Thesis, Universiteit van Amsterdam].

Vromen, T. (2019). Optimising exercise based cardiac rehabilitation programs in the Netherlands: One size does not FIT all. [Thesis, Universiteit van Amsterdam].

Opondo, D. O. (2018). Electronic medical records and quality of prescriptions in general practice. [Thesis, Universiteit van Amsterdam].

Leopold, J. H. (2017). Continuous glucose and exhaled breath analysis in the Intensive Care Unit. [Thesis, Universiteit van Amsterdam].

Arts, D. L. (2016). Improving medical decision making: Stroke prevention in atrial fibrillation. [Thesis, Universiteit van Amsterdam].

Brück, K. (2016). Epidemiology of chronic kidney disease in Europe. [Thesis, Universiteit van Amsterdam].

Kraal, J. J. (2016). Home-based cardiac rehabilitation: Development and evaluation of a novel intervention with telemonitoring guidance and wearable sensors. [Thesis, Universiteit van Amsterdam].

Ensing, S. (2015). Risk factors and prognostic models for perinatal asphyxia at term. [Thesis, Universiteit van Amsterdam].

Medlock, S. K. (2015). Improving care of vulnerable elders through computerized clinical decision support. [Thesis, Universiteit van Amsterdam].

Oluoch, T. O. (2015). Electronic medical records and clinical Decision Support Systems in HIV care in resource-limited settings. [Thesis, Universiteit van Amsterdam].

Vogelzang, J. L. (2015). Effects of initiating chronic renal replacement therapy in children, now and later in life: Data from the LERIC cohort and ERA-EDTA Registry. [Thesis, Universiteit van Amsterdam].

Askari, M. (2014). Improving quality of fall prevention and management in elderly patients using information technology: The impact of computerized decision support. [Thesis, Universiteit van Amsterdam].

Bonthuis, M. (2014). Nutrition and growth in European children with end-stage renal disease. [Thesis, Universiteit van Amsterdam].

Koetsier, A. (2014). Data-driven methods to improve quality assessment of intensive care units. [Thesis, Universiteit van Amsterdam].

Simon, A. C. R. (2014). Fighting the Hydra: Optimizing treatment for type 2 diabetes. [Thesis, Universiteit van Amsterdam].

van de Luijtgaarden, M. W. M. (2014). Starting renal replacement therapy in end-stage renal disease patients. [Thesis, Universiteit van Amsterdam].

Brinkman, S. (2013). Prognostic modeling to evaluate the in-hospital and long-term mortality of intensive care patients. [Thesis, Universiteit van Amsterdam].

Minne, L. (2013). Mortality prediction in the intensive care: Role of mathematical models in benchmarking and decision-making. [Thesis,  Universiteit van Amsterdam].

Schaaf, J. M. (2013). Risk factors and prognostic models for preterm birth. [Thesis, Universiteit van Amsterdam].

Włodzimirow, K. A. (2013). Acute liver failure and acute kidney injury: Definitions, prognosis, and outcome. [Thesis, Universiteit van Amsterdam].

van der Heijden, J. P. (2013). Telemedicine in dermatology: Evaluation of secondary and tertiary teledermatology. [Thesis,  Universiteit van Amsterdam].

Toma, T. (2012). Prognosis in intensive care: inductive methods using sequential patterns of organ dysfunction scores. [Thesis, Universiteit van Amsterdam].

van der Veer, S. N. (2012). Systematic quality improvement in healthcare: clinical performance measurement and registry-based feedback. [Thesis,  Universiteit van Amsterdam].

Scheffer, A. C. L. (2011). Fear of falling in older patients. [Thesis, Universiteit van Amsterdam].

Surján, G. (2011). Barriers and challenges of using medical coding systems. [Thesis, Universiteit van Amsterdam].

Eslami, S. (2009). Pharmacotherapy and patient safety in intensive care : impact of guideline-based decision support. [Thesis, Universiteit van Amsterdam].

Nannings, B. (2009). Clinical decision support : distance-based, and subgroup-discovery methods in intensive care. [Thesis, Universiteit van Amsterdam].

Cornet, R. (2006). Methods for auditing medical terminological systems. [Thesis,  Universiteit van Amsterdam].

de Keizer, N. F. (2000). An infrastructure for quality assessment in intensive care. Prognostics models and terminological systems. [Thesis,  Universiteit van Amsterdam].