Forecasting readmission in COVID-19 patients utilizing blood biomarkers and machine learning in the Hospital-at-Home program
Hs-TnT was a key predictor of readmission for COVID-19 patients discharged to HaH. Classification algorithms can aid clinicians in making informed decisions regarding patient transfers from conventional hospitalization to HaH.
Authors
- María Delgado-Capel
- Jordi Ara del Rey (ORCID: https://orcid.org/0000-0002-7281-9969)
- Lexa Nescolarde (ORCID: https://orcid.org/0000-0001-6861-5106)
- Maria Glòria Bonet-Papell
- Beatriz Díez-Sánchez
- Lourdes Mateu-Pruñosa
- Roger Paredes-Deirós
Institutions
- Universitat Autònoma de Barcelona (ES)
- Hospital Universitari Germans Trias i Pujol (ES)
- Universitat Politècnica de Catalunya (ES)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-03-26
- DOI
- https://doi.org/10.3389/fmed.2025.1469245
- Citations
- 1
- Primary Topic
- COVID-19 Clinical Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.40