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Publicaties

Applications of Machine Learning in Anaesthesiology and Critical Care

Deep embedded clustering generalisability and adaptation for integrating mixed datatypes: two critical care cohorts

Developing Effective Questionnaire-Based Prediction Models for Type 2 Diabetes for Several Ethnicities

The necessity of incorporating non-genetic risk factors into polygenic risk score models

A Pilot Study on the Prevalence of Micronutrient Imbalances in a Dutch General Population Cohort and the Effects of a Digital Lifestyle Program

Changes in Blood Lipid Levels After a Digitally Enabled Cardiometabolic Preventive Health Program: Pre-Post Study in an Adult Dutch General Population Cohort

Comparison of Machine Learning Models Including Preoperative, Intraoperative, and Postoperative Data and Mortality After Cardiac Surgery

Effect of a Digitally-Enabled, Preventive Health Program on Blood Pressure in an Adult, Dutch General Population Cohort: An Observational Pilot Study

Mild hypothermia during cardiopulmonary bypass assisted CABG is associated with improved short- and long-term survival, a 18- year cohort study

Cognitive biases, environmental, patient and personal factors associated with critical care decision making: A scoping review

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