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Tracking and Preventing Diseases with Artificial Intelligence

This book presents an overview of how machine learning and data mining techniques are used for tracking and preventing diseases. It covers several aspects such as stress level identification of a person from his/her speech, automatic diagnosis of disease from X-ray images, intelligent diagnosis of G...

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Bibliographic Details
Other Authors: Mehta, Mayuri (Editor), Fournier-Viger, Philippe (Editor), Patel, Maulika (Editor), Lin, Jerry Chun-Wei (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2022, 2022
Edition:1st ed. 2022
Series:Intelligent Systems Reference Library
Subjects:
Computational Intelligence
Artificial Intelligence
Biomedical Engineering
Biomedical Engineering And Bioengineering
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Stress Identification from Speech using Clustering techniques
  • Comparative Study and Detection of COVID-19 and Related Viral Pneumonia using a Fine-tuned Deep Transfer Learning
  • Predicting Glaucoma Diagnosis using AI
  • Diagnosis and Analysis of Tuberculosis Disease using Simple Neural Network and Deep Learning Approach for Chest X-ray Images
  • Adaptive Machine Learning Algorithm and Analytics of Big Genomic Data for Gene Prediction

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