Affiliation:
1. Kumaraguru College of Technology, India
2. Cherraan's Arts Science College, India
Abstract
Machine learning is an approach of artificial intelligence (AI) where the machine can automatically learn and improve its performance on experience. It is not explicitly programmed; the data is fed into the generic algorithm and it builds logic based on the data provided. Traditional algorithms have to define new rules or massive rules when the pattern varies or the number of patterns increases, which reduces the accuracy or efficiency of the algorithms. But the machine learning algorithms learn new input patterns capable of handling complex situations while maintaining accuracy and efficiency. Due to its effectual benefits, machine learning algorithms are used in various domains like healthcare, industries, travel, game development, social media services, robotics, and surveillance and information security. In this chapter, the application of machine learning technique in healthcare is discussed in detail.
Cited by
11 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Data Insight Unveiled;Advances in Computer and Electrical Engineering;2024-05-17
2. Prediction Model for the Healthcare Industry Using Machine Learning;Lecture Notes in Networks and Systems;2024
3. Stress Analysis Prediction for Coma Patient Using Machine Learning;Lecture Notes in Networks and Systems;2024
4. Machine Learning and Healthcare;Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning;2023-09-25
5. Making Health Care Smarter: The Role of Machine Learning Algorithms;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14