Data-Driven Models for COVID-19 Severity Analysis in Comorbid Patients

Language: English

Published by LAP LAMBERT Academic Publishing Feb 2026, 2026

6209063152 / 9786209063152

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Softcover

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This item is printed on demand - Print on Demand Titel. Neuware -This book presents a comprehensive Artificial Intelligence driven framework for predicting COVID-19 severity in patients with comorbidities, addressing critical challenges in diagnosis, prognosis, and healthcare resource management. It integrates Machine Learning and Deep Learning techniques to analyze large-scale clinical, demographic, and medical imaging data. Imbalanced clinical datasets are handled using advanced preprocessing and resampling strategies, enabling robust prediction of mortality, survival, and disease severity. The book serves as a comprehensive guide for researchers, data scientists, and healthcare professionals interested in AI-based Prediction of COVID-19 Severity in Patients with Comorbidities. It highlights that classical Machine Learning models, including Decision Tree, Random Forest, and Gaussian Naïve Bayes, achieve high precision, while neural network-based models demonstrate strong generalization and robustness.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 196 pp. Englisch.…

Seller Inventory # 9786209063152

Title
Data-Driven Models for COVID-19 Severity Analysis in Comorbid Patients
Author
Suresh Kumar H S
Publisher
LAP LAMBERT Academic Publishing Feb 2026
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6209063152
ISBN 13
9786209063152
Item weight
310 grams
Dimensions
220x150x12 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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