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- W4233067557 abstract "Some of the greatest successes of artificial intelligence and machine learning have been in the field of computer vision. Computer vision focuses on the medical imaging and objects or pattern recognition. Machine learning is a subset of artificial intelligence techniques that refers to the ability to learning form the past data or experience then improve the accuracy or prediction ratio for the particular datasets, deep leaning is very popular in the health care sectors and for the electronic health record. In this paper we review the machine learning and deep learning techniques for the health care sectors, with some key features, In this review we mentioned the machine learning techniques will be provided for the variety of applications, then review about the previous author work in health care sectors and highlight some important diseases with their feature extraction techniques and accuracy." @default.
- W4233067557 created "2022-05-12" @default.
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- W4233067557 date "2021-01-08" @default.
- W4233067557 modified "2023-09-26" @default.
- W4233067557 title "A Review of Machine Learning Techniques and Applications for Health Care" @default.
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- W4233067557 doi "https://doi.org/10.1109/icatme50232.2021.9732761" @default.
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