Editorial: Data-driven technologies for future healthcare systems
- PMID: 37293511
- PMCID: PMC10244758
- DOI: 10.3389/fmedt.2023.1183687
Editorial: Data-driven technologies for future healthcare systems
Keywords: data analytics; data mining; health outcome; healthcare systems; machine learning.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
-
- Fournaise A, Lauridsen JT, Nissen SK, Gudex C, Bech M, Mejldal A, et al. Structured decision support to prevent hospitalisations of community-dwelling older adults in Denmark (PATINA): an open-label, stepped-wedge, cluster-randomised controlled trial. Lancet Healthy Longev. (2023) 4(4):e132–42. 10.1016/S2666-7568(23)00023-5 - DOI - PubMed
-
- Pedersen SS, Andersen CM, Ahm R, Skovbakke SJ, Kok R, Helmark C, et al. Efficacy and cost-effectiveness of a therapist-assisted web-based intervention for depression and anxiety in patients with ischemic heart disease attending cardiac rehabilitation [eMindYourHeart trial]: a randomised controlled trial protocol. BMC Cardiovasc Disord. (2021) 21:20. 10.1186/s12872-020-01801-w - DOI - PMC - PubMed
Publication types
LinkOut - more resources
Full Text Sources