Data-Driven Models for COVID-19 Severity Analysis in Comorbid Patients : An AI-Based Clinical Risk Assessment Approach
Language: English
Published by LAP LAMBERT Academic Publishing, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 74.30
Quantity: 2 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…
Seller Inventory # 9786209063152
- Title
- Data-Driven Models for COVID-19 Severity Analysis in Comorbid Patients : An AI-Based Clinical Risk Assessment Approach
- Author
- Pushpa C N
- Publisher
- LAP LAMBERT Academic Publishing
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 6209063152
- ISBN 13
- 9786209063152
- Item weight
- 310 grams
- Dimensions
- 220x150x12 mm
"Synopsis" may belong to another edition of this title.
Shipping rates from Germany to U.S.A.
| Item | 7 to 10 business days | 5 to 7 business days |
|---|---|---|
| First item | £ 29.57 | £ 38.02 |
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