作者
Milind Shah, Priyanka Padhiyar, Kajal Parmar, Jemisha Patel, Sonia Panesar, Krupa Raja
发表日期
2023/10/11
来源
2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC)
页码范围
516-523
出版商
IEEE
简介
Medical science is significantly impacted by the applications of Machine Learning (ML). ML is a subset of Artificial Intelligence (AI) technology that improves physicians' efficiency and precision. Recently, machine learning techniques have facilitated a tremendous expansion in the field of medicine. The field of medical science has been revolutionized by machine learning, which provides new methods for analyzing large-scale patient data and providing accurate predictions for diagnosis, treatment, and disease progression. The risk of developing diseases such as cancer, diabetes, and cardiovascular disease has been predicted using machine learning algorithms. These algorithms analyze large sets of patient data, including genetic information, medical history, and lifestyle factors, to recognize patterns and predict disease risk. In addition, machine learning has been used to develop individualized treatment …
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M Shah, P Padhiyar, K Parmar, J Patel, S Panesar… - 2023 7th International Conference on I-SMAC (IoT in …, 2023