Machine Learning in Healthcare

Machine Learning in Healthcare

Fundamentals and Recent Applications

Singh, Bikesh Kumar; Sinha, G.R.

Taylor & Francis Ltd

10/2024

226

Mole

9780367564438

Pré-lançamento - envio 15 a 20 dias após a sua edição

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1. Biostatistics. 2. Probability Theory. 3. Medical Data Acquisition and Pre-processing. 4. Medical Image Processing. 5. Bio-signals. 6. Feature Extraction. 7. Introduction to Machine Learning. 8. Cancer detection: Breast Cancer Detection Using Mammography, Ultrasound and Magnetic Resonance Imaging (MRI). 9. Sickle Cell Disease Management: A Machine Learning Approach. 10. Detection of Pulmonary Diseases. 11. Mental Illness and Neurodevelopmental Disorders. 12. Applications and Challenges.
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Ml;Machine Learning Model;Biostatistics;SVM;Medical Image Processing;Ml Method;Bio Signals;Cad System;Deep Learning;EEG Signal;Cancer Detection;Ml Technique;Pulmonary Diseases;Grey Level;Scd Patient;F1 Score;Roc Curve;Acoustic Radiation Force Impulse Imaging;HU Dosage;Epileptic Seizure Detection;Scd Case;Image De-noising;Elm Network;Scd Management;UPDRS Scale;MRE;Restrictive Lung Disease;HY Scale;Pam;Acute Chest Syndrome;Computer - Aided Detection