EDITORIAL
Published on 12 Jul 2021
Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare
doi 10.3389/fdata.2021.727856
- 2,411 views
- 12 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
6,720
Total downloads
27k
Total views and downloads
Submit your idea
Select the journal/section where you want your idea to be submitted:
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
- 2,916 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
- 3,043 views
- 13 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
- 8,013 views
- 17 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
- 5,638 views
- 55 citations
Published in
Frontiers in Big Data
- Medicine and Public Health
Participating Journals
Frontiers in Artificial Intelligence
- 3.0 impact factor
- 6.1 citescore
Impact
- 27kTopic views
- 19kArticle views
- 6,720Article downloads