Robbert A. Lalisang
Amsterdam, NH, Netherlands
Last Updated: 09/26/2026
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Found 9 publications
Augmented intelligence facilitates concept mapping across different electronic health records.
Journal: International journal of medical informatics
Published: July 12, 2023
Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records.
Journal: International journal of medical informatics
Published: April 12, 2022
Some Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress Syndrome.
Journal: Critical care explorations
Published: October 21, 2021
Predictors for extubation failure in COVID-19 patients using a machine learning approach.
Journal: Critical care (London, England)
Published: October 21, 2021
Dynamic prediction of mortality in COVID-19 patients in the intensive care unit: A retrospective multi-center cohort study.
Journal: Intelligence-based medicine
Published: August 31, 2021
Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in-hospital mortality.
Journal: Acta anaesthesiologica Scandinavica
Published: May 24, 2021
The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients.
Journal: Critical care (London, England)
Published: May 21, 2021
Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse.
Journal: Intensive care medicine experimental
Published: March 26, 2021
Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse.
Journal: Intensive care medicine
Published: December 23, 2020
Showing 1-9 of 9
Last Updated: 09/26/2026