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What is Preventive Interventions

Future of AI in Biomedicine and Biotechnology
Any strategy or action aimed at a population or individual who is not currently experiencing any discomfort or disability as a result of alcohol or other substance use but has been identified as having a high risk of developing problems related to either their own use of alcohol or other substances or the use of alcohol or other substances by others is known as a preventive intervention.
Published in Chapter:
Introduction to Predictive Analysis in Healthcare: From Data to Diagnosis - Exploring the Potential of Predictive Analytics
Marwana Sayed (School of Engineering, Ajeenkya D.Y. Patil University, India), Smita Shahane (School of Engineering, Ajeenkya D.Y. Patil University, India), Nikhil Mane (School of Engineering, Ajeenkya D.Y. Patil University, India), and Manavi Gilotra (School of Engineering, Ajeenkya D.Y. Patil University, India)
Copyright: © 2024 |Pages: 26
DOI: 10.4018/979-8-3693-3629-8.ch003
Abstract
This chapter addresses how machine learning (ML) and artificial intelligence (AI) are revolutionizing the field of healthcare disease prediction. It describes how to employ public information and machine learning algorithms to forecast conditions including osteoarthritis, breast cancer, and Alzheimer's. Case studies from real-life scenarios show how predictive models work effectively for early diagnosis and customized responses. Critical analysis is done on ethical issues such as model interpretability and patient privacy. The chapter places a strong emphasis on the necessity of ethical frameworks and competent data handling to direct the incorporation of ML into healthcare. This chapter adds to the continuing discussion on AI's role in healthcare by providing a thorough analysis of disease prediction in osteoarthritis, Alzheimer's, and breast cancer, promoting better patient care and public health outcomes.
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