EDITORIAL
Published on 12 Jul 2021
Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare
doi 10.3389/fdata.2021.727856
- 2,535 views
- 13 citations
- Frontiers in Big Data
- Medicine and Public Health
- Research Topics
- ML and AI Safety, Effectiveness and Explainability in Healthcare
ML and AI Safety, Effectiveness and Explainability in Healthcare
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Articles
ORIGINAL RESEARCH
Published on 24 Jun 2021
Identification of Suicidal Ideation in the Canadian Community Health Survey—Mental Health Component Using Deep Learning
doi 10.3389/frai.2021.561528
- 3,029 views
- 4 citations
ORIGINAL RESEARCH
Published on 18 Dec 2020
The Bayesian Additive Regression Trees Formula for Safe Machine Learning-Based Intraocular Lens Predictions
doi 10.3389/fdata.2020.572134
- 3,127 views
- 14 citations
REVIEW
Published on 23 Nov 2020
Machine Learning Methods to Predict Acute Respiratory Failure and Acute Respiratory Distress Syndrome
doi 10.3389/fdata.2020.579774
- 8,177 views
- 18 citations
CONCEPTUAL ANALYSIS
Published on 24 Sep 2020
The Next Generation of Medical Decision Support: A Roadmap Toward Transparent Expert Companions
doi 10.3389/frai.2020.507973
- 5,800 views
- 57 citations
Published in
Frontiers in Big Data
Medicine and Public Health
Participating Journals
Frontiers in Artificial Intelligence
- 3.0 impact factor
- 6.1 citescore