Temporal and dynamic Bayesian networks for prognosis and diagnosis in clinical settings: A scoping review.

Saved in:
Bibliographic Details
Title: Temporal and dynamic Bayesian networks for prognosis and diagnosis in clinical settings: A scoping review.
Authors: Alves JM; Faculty of Medicine University of Porto, Department of Community Medicine, Information and Health Decision Sciences, Porto, Portugal; CINTESIS @ RISE - Faculty of Medicine of the University of Porto (FMUP), Porto, Portugal. Electronic address: jalves@med.up.pt., Martins T; Faculty of Medicine University of Porto, Department of Community Medicine, Information and Health Decision Sciences, Porto, Portugal; CINTESIS @ RISE - Faculty of Medicine of the University of Porto (FMUP), Porto, Portugal., Esteves S; Faculty of Medicine University of Porto, Department of Community Medicine, Information and Health Decision Sciences, Porto, Portugal; Portuguese Institute of Oncology of Lisbon, Clinical Research Unit, Lisbon, Portugal., Dias CC; Faculty of Medicine University of Porto, Department of Community Medicine, Information and Health Decision Sciences, Porto, Portugal; CINTESIS @ RISE - Faculty of Medicine of the University of Porto (FMUP), Porto, Portugal., Rodrigues PP; Faculty of Medicine University of Porto, Department of Community Medicine, Information and Health Decision Sciences, Porto, Portugal; CINTESIS @ RISE - Faculty of Medicine of the University of Porto (FMUP), Porto, Portugal.
Source: Computers in biology and medicine [Comput Biol Med] 2025 Nov; Vol. 198 (Pt A), pp. 111193. Date of Electronic Publication: 2025 Oct 09.
Publication Type: Journal Article; Scoping Review
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0534
DOI:10.1016/j.compbiomed.2025.111193