Physician-Friendly Machine Learning: A Case Study with Cardi…

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Physician-Friendly Machine Learning: A Case Study with Cardiovascular Disease Risk Prediction

Article 2019 EN Gold

Machine learning is often perceived as a sophisticated technology accessible only by highly trained experts. This prevents many physicians and biologists from using this tool in their research. The goal of this paper is to eliminate this out-dated perception. We argue that the recent development of auto machine learning techniques enables biomedical researchers to quickly build competitive machine…

72

Citations

36

References

4

Authors

9.86

FWCI

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UN Sustainable Development Goals
1 SDGs
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4 authors
#AuthorInstitutionsORCID
1 Meghana Padmanabhan University of Houston (US) —
2 Pengyu Yuan University of Houston (US)
3 Govind Chada University of Houston (US) —
4 Hien Van Nguyen Corresponding University of Houston (US)

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