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portada Prognostic Models in Healthcare: AI and Statistical Approaches
Type
Physical Book
Publisher
Language
English
Pages
504
Format
Hardcover
Dimensions
23.4x15.6x2.9 cm
Weight
0.91 kg.
ISBN13
9789811920561

Prognostic Models in Healthcare: AI and Statistical Approaches

Saba, Tanzila ; Rehman, Amjad ; Roy, Sudipta (Author) · Springer · Hardcover

Prognostic Models in Healthcare: AI and Statistical Approaches - Saba, Tanzila ; Rehman, Amjad ; Roy, Sudipta

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Synopsis "Prognostic Models in Healthcare: AI and Statistical Approaches"

​Segmentation of White Blood Cells in Acute Myeloid Leukaemia Microscopic Images: The Current Challenges and Future Solutions.- Computer Vision Based Prognostic Modeling of COVID-19 from Medical Imaging.- Skin Lesion Classification From Dermoscopic Images with Deep Residual Network based Fused Pigmented Deep Feature Extraction and Entropy Based Best Features Selection Approach.- Computer Vision Technologies for COVID-19 Prediction, Diagnosis and Prevention.- Health monitoring methods in heart diseases based on data mining approach, a directional survey.- Machine learning based brain diseases diagnosing in electroencephalogram signals, Alzheimer and Parkinson's.- Skin Lesion Detection Using Recent Machine Learning Approaches.- Improving monitoring and controling parameters for Alzheimer's patients based on IoT.- A Novel Method for Lung Segmentation of Chest with Convolutional Neural Network.- Leukemia Detection Using Machine and Deep Learning Through Microscopic Images-A Review.

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