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AI-Driven Prognosis and Diagnosis for Personalized Healthcare Services: A Predictive Analytic Perspective
Abstract
Artificial intelligence (AI) seeks to replicate human psychological capacities. This is making an ideal change for healthcare services with the rapid availability of healthcare data and the rapid progress of analytics technology. AI tools are being used to diagnose major diseases such as cancer, neurology, liver diseases, cardiology, and so on. For the classification of the disease, several classification and dimensionality reduction algorithms are used. In this chapter, recent literature based on deep learning technologies has been reviewed to pursue healthcare domains and also various applications, and challenges of AI and deep learning that are used in this field have been discussed. Different AI algorithms (Linear SVM, SVM Grid Search, KNN, Logistic Regression, Decision Tree, Bagging, Boosting) have also been discussed in a nutshell. To predict diseases, all these algorithms will be implemented using various medical datasets, and also a comparison of all these algorithms will be shown.
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