Application of artificial intelligence to corelate food formulations to disease risk prediction: a comprehensive review

被引：0
作者：
Mayura D. Tapkire
Vanishri Arun
机构：
[1] National Institute of Engineering,Department of Information Science and Engineering
[2] Sri Jayachamarajendra College of Engineering,Department of Information Science and Engineering
[3] Constituent College of JSS Science and Technology University,undefined
来源：
Journal of Food Science and Technology | 2023年 / 60卷
关键词：
Artificial intelligence; Health care; Celiac disease; Disease prediction; Food formulations; Machine learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Clinicians and administrators are applying Artificial Intelligence (AI) Techniques widely as the promising results of their applications in the healthcare have been established. The meaningful impact of the AI applications will be limited unless it is coherently applied with human diagnosis and inputs from specialist clinician. This will help to address limitations and take advantage of the promises of the AI techniques. Machine Learning is one of the AI technique that finds high relevance in the medicine and health care. This review provides an overall glimpse of current practices and research outcomes of the application of the AI techniques in the healthcare and medical practices. It further describes Machine Learning Techniques in disease prediction and scope for food formulations for combatting disease.
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页码：2350 / 2357
页数：7
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