Ameen Abu-Hanna

Professor

Netherlands

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Professor Ameen Abu-Hanna is a faculty member at Amsterdam UMC Locatie AMC, University of Amsterdam, Netherlands. His research focuses on the intersection of artificial intelligence and healthcare, with recent articles examining areas such as adverse drug event detection, early lung cancer detection, and the impact of socioeconomic factors on health outcomes. His work also includes evaluating clinical decision support systems and exploring the long-term effects of COVID-19 on patient mortality.

Articles (19)

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2025

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NETHERLANDS

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Henk Marquering

Professor

Amsterdam UMC Locatie AMC

NETHERLANDS

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Tessa Roseboom

University of Amsterdam

NETHERLANDS

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Merel van Diepen

Leiden University Medical Center

NETHERLANDS

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Joris van der Post

em Professor

AmsterdamUMC

NETHERLANDS

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Ameen Abu-Hanna

Research Interests

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Articles (19)

Balancing harm and benefit for induction of labor at 41 weeks: Slow acting is the problem

Creation of a gold standard Dutch corpus of clinical notes for adverse drug event detection: the Dutch ADE corpus

Artificial intelligence for early detection of lung cancer in GPs’ clinical notes: a retrospective observational cohort study

When the whole is greater than the sum of its parts: why machine learning and conventional statistics are complementary for predicting future health outcomes

Multimodal convolutional neural networks for the prediction of acute kidney injury in the intensive care

Overview and Classification of Evaluation Metrics of Appointment Scheduling Systems

Long-term mortality of Dutch COVID-19 patients admitted to the intensive care medicine: a retrospective analysis from a national quality registry

Mortalidade em longo prazo de pacientes holandeses com COVID-19 internados em terapia intensiva: análise retrospectiva de um registro nacional de qualidade

Gestational age and socio demographic factors associated with school performance at the age of 12 years, a population based study

An integrated approach to geographic validation helped scrutinize prediction model performance and its variability

Comparing In-Hospital Mortality Prediction by Senior Emergency Resident’s Judgment and Prognostic Models in the Emergency Department

Effects of a clinical decision support system and patient portal for preventing medication-related falls in older fallers: Protocol of a cluster randomized controlled trial with embedded process and economic evaluations (ADFICE_IT)

Clinical validation of clinical decision support systems for medication review: A scoping review

Internal Validation of the Predictive Performance of Models Based on Three ED and ICU Scoring Systems to Predict Inhospital Mortality for Intensive Care Patients Referred from the Emergency Department

Update and, internal and temporal-validation of the FRANCE-2 and ACC-TAVI early-mortality prediction models for Transcatheter Aortic Valve Implantation (TAVI) using data from the Netherlands heart registration (NHR)

Informing Patients With Esophagogastric Cancer About Treatment Outcomes by Using a Web-Based Tool and Training: Development and Evaluation Study

Effect of Interventions With a Clinical Decision Support System for Hospitalized Older Patients: Systematic Review Mapping Implementation and Design Factors

Explaining heterogeneity of individual treatment causal effects by subgroup discovery: An observational case study in antibiotics treatment of acute rhino-sinusitis

A computerized decision support system did not improve personalization of exercise-based cardiac rehabilitation according to latest recommendations

Collaborators (10)

Nathalie van der Velde

Bastian de Mol

Anita Ravelli

Henk van Weert

Christianne de Groot

Wessel Ganzevoort

Henk Marquering

Tessa Roseboom

Merel van Diepen

Joris van der Post

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