"Evaluating machine learning algorithms to Predict 30-day Unplanned ..."

Koen Welvaars et al. (2023)

> Home

Details and statistics

DOI: 10.1186/S12911-023-02200-9

access: open

type: Journal Article

metadata version: 2023-07-07

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/midm/WelvaarsBDHZALHKB23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/midm/WelvaarsBDHZALHKB23
Koen Welvaars, Michel P. J. van den Bekerom, Job N. Doornberg, Ernst P. van Haarst, J. A. van der Zee, G. A. van Andel, B. W. Lagerveld, M. C. Hovius, P. C. Kauer, L. M. S. Boevé:
Evaluating machine learning algorithms to Predict 30-day Unplanned REadmission (PURE) in Urology patients. BMC Medical Informatics Decis. Mak. 23(1): 108 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.