Nature medicine, 2019-09, Vol.25 (9), p.1337-1340
2019
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Details
- Autor(en) / Beteiligte
- Titel
- Do no harm: a roadmap for responsible machine learning for health care
- Ist Teil von
- Nature medicine, 2019-09, Vol.25 (9), p.1337-1340
- Ort / Verlag
- United States: Nature Publishing Group
- Erscheinungsjahr
- 2019
- Quelle
- MEDLINE
- Beschreibungen/Notizen
- Interest in machine-learning applications within medicine has been growing, but few studies have progressed to deployment in patient care. We present a framework, context and ultimately guidelines for accelerating the translation of machine-learning-based interventions in health care. To be successful, translation will require a team of engaged stakeholders and a systematic process from beginning (problem formulation) to end (widespread deployment).
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1078-8956eISSN: 1546-170XDOI: 10.1038/s41591-019-0548-6Titel-ID: cdi_proquest_miscellaneous_2288002443
- Format
- –
- Schlagworte
- Algorithms, Bias, Clinical Decision-Making - ethics, Computer engineering, Computer science, Delivery of Health Care - ethics, Delivery of Health Care - trends, Health care, Humans, Learning algorithms, Machine learning, Machine Learning - ethics, Machine Learning - trends, Medicine, Mortality, Translation