Titlebook: Intelligent Vision in Healthcare; Mukesh Saraswat,Harish Sharma,Karm Veer Arya Book 2022 The Editor(s) (if applicable) and The Author(s),

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NOTCH

landmark

,Predicting Heart Disease with?Multiple Classifiers,rest, K-nearest neighbor, and logistic regression. The final class of a new instance is that predicted by the maximum weighted sum of predictions from the classifiers. This technique is compared with already existing methods, and an improvement in accuracy (92.10%) and sensitivity (94.59%) and a dra

Deject

insightful

鐵砧

Automatic Brain Tumor Classification in 2D MRI Images Using Integrated Deep Learning and Supervisedop, and detection accuracy of 98.1%, 92.5%, and 83.0% is achieved. The features are extracted using CNN, and tumor detection is done by using four supervised machine learning classifiers. The classifiers used are SVM, KNN classifier, Na?ve Bayes classifier, and discriminant analysis. The accuracy ac

inspiration

Commonplace

P. Hosanna Princye,M. Lavanya,S. Siva Subramanian,M. Arivalagan,S. Bagyarajg that blurs the line between truth and falsehood with increasingly powerful strategies supported by artificial intelligence..978-3-030-81570-7978-3-030-81568-4Series ISSN 2945-6118 Series E-ISSN 2945-6126

Nonthreatening

M. Ganeshkumar,V. Sowmya,E. A. Gopalakrishnan,K. P. Soman

crescendo