Hans‐Christian Thorsen‐Meyer

Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records

Hans‐Christian Thorsen‐Meyer, Annelaura Bach Nielsen, Anna Pors Nielsen et al. · The Lancet Digital Health · 2020 · 315 citations · Full text

Effect of Selepressin vs Placebo on Ventilator- and Vasopressor-Free Days in Patients With Septic Shock

Pierre‐François Laterre, Scott Berry, Allan Blemings et al. · JAMA · 2019 · 134 citations · Full text

Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient records

Annelaura Bach Nielsen, Hans‐Christian Thorsen‐Meyer, Kirstine Belling et al. · The Lancet Digital Health · 2019 · 112 citations · Full text

Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

Espen Jimenez‐Solem, Tonny Studsgaard Petersen, Casper Hansen et al. · Scientific Reports · 2021 · 84 citations · Full text

Machine Learning, Prognosis, Ml Models +17

Health-related quality of life in survivors of septic shock: 6-month follow-up from the ADRENAL trial

Naomi Hammond, Simon Finfer, Qiang Li et al. · Intensive Care Medicine · 2020 · 47 citations · Full text

Trauma Resuscitation, Health-related Quality, Acute Care +8