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Clinical trial

Machine Learning Model to Predict Hospital Length of Stay (HOLS) and Mortality After Discharge in Hospitalized Oncologic Patients [Plantology Database]: a Multicenter Cross-validation Study

NCT05534178 is registered in ClinicalTrials.gov with Vall d'Hebron Institute of Oncology as lead sponsor.

NCT NCT05534178
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Registry record

As filed in ClinicalTrials.gov.

Title
Machine Learning Model to Predict Hospital Length of Stay (HOLS) and Mortality After Discharge in Hospitalized Oncologic Patients [Plantology Database]: a Multicenter Cross-validation Study
Lead sponsor
Vall d'Hebron Institute of Oncology
Phase
Observational
Overall status
Unknown status
Start date
February 15, 2020
Completion date
March 15, 2024
Enrollment
2,500 (estimated)
Sites
3

Conditions

As the registry lists them; a condition with its own page is linked.

artificial intelligence, comorbidities and coexisting conditions, mental status change, nutrition related neoplasm/cancer, oncology, quality of life, solid tumor, tumor