Future promise, current clinical ambiguity: a systematic review of machine learning algorithm outputs predicting risk of cardiovascular disease.

Phillips SP, Han H

DOI: 10.1136/openhrt-2026-004228
Published: 2026 Sep 12
Container: Open heart
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1136/openhrt-2026-004228,
  title = {Future promise, current clinical ambiguity: a systematic review of machine learning algorithm outputs predicting risk of cardiovascular disease.},
  author = {Phillips SP and Han H},
  year = {2026},
  journal = {Open heart},
  doi = {10.1136/openhrt-2026-004228},
  url = {https://doi.org/10.1136/openhrt-2026-004228}
}

RIS

TY  - JOUR
TI  - Future promise, current clinical ambiguity: a systematic review of machine learning algorithm outputs predicting risk of cardiovascular disease.
AU  - Phillips SP
AU  - Han H
PY  - 2026
JO  - Open heart
DO  - 10.1136/openhrt-2026-004228
UR  - https://doi.org/10.1136/openhrt-2026-004228
ER  -

APA

SP, P., & H, H. (2026). Future promise, current clinical ambiguity: a systematic review of machine learning algorithm outputs predicting risk of cardiovascular disease.. Open heart. https://doi.org/10.1136/openhrt-2026-004228

Source records

pubmed · retrieved 2026-09-26T01:22:03.300Z