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.,...
Saved in:
Main Authors: | Abdullah, T.A.A., Zahid, M.S.M., Ali, W. |
---|---|
格式: | Article |
出版: |
MDPI
2021
|
在線閱讀: | 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/ |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
A review of interpretable ml in healthcare: Taxonomy, applications, challenges, and future directions
由: Abdullah, T.A.A., et al.
出版: (2021) -
Taxonomy of SQL Injection: ML Trends & Open Challenges
由: Abobakr Busaeed, Raed Abdullah, et al.
出版: (2023) -
A systematic review of bio-asphalt for flexible pavement applications: Coherent taxonomy, motivations, challenges and future directions
由: Al-Sabaeei, A.M., et al.
出版: (2020) -
A review of urban farming research: taxonomy, challenges and future research direction
由: Siti Aisyah Salim,, et al.
出版: (2019) -
Deep learning for phishing detection: Taxonomy, current challenges and future directions
由: Do, Nguyet Quang, et al.
出版: (2022)