A review of interpretable ml in healthcare: Taxonomy, applications, challenges, and future directions
We have witnessed the impact of ML in disease diagnosis, image recognition and classifi-cation, and many more related fields. Healthcare is a sensitive field related to people�s lives in which decisions need to be carefully taken based on solid evidence. However, most ML models are complex, i.e.,...
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| Format: | Article |
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MDPI
2021
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121535209&doi=10.3390%2fsym13122439&partnerID=40&md5=c8beba4fbe54517efeeb8d15d238234b http://eprints.utp.edu.my/30316/ |
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