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Skin Disease Analysis with ADABOOST: A Machine Learning Approach for Improved Diagnosis

By: Publication details: London: LAP LAMBERT Academic Publishing, 2024Description: 60ISBN:
  • 9786207468799
Subject(s): DDC classification:
  • 610.285 ANI
Summary: Skin Disease Analysis with ADABOOST delves into the application of a powerful machine learning technique called ADABOOST for analyzing and diagnosing skin conditions. The book explores how ADABOOST can be harnessed to significantly improve the accuracy and efficiency of detecting and classifying various skin diseases. This approach holds immense potential for early diagnosis, which is crucial for effective treatment and improved patient outcomes. By leveraging the strengths of ADABOOST, the book equips healthcare professionals and researchers with valuable insights and tools to combat skin diseases and contribute to advancements in dermatology.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Reference Book Reference Book Alliance School of Business 610.285 ANI (Browse shelf(Opens below)) Not for loan A27890
Book Book Alliance School of Business 610.285 ANI (Browse shelf(Opens below)) Available A27891
Total holds: 0

Skin Disease Analysis with ADABOOST delves into the application of a powerful machine learning technique called ADABOOST for analyzing and diagnosing skin conditions. The book explores how ADABOOST can be harnessed to significantly improve the accuracy and efficiency of detecting and classifying various skin diseases. This approach holds immense potential for early diagnosis, which is crucial for effective treatment and improved patient outcomes. By leveraging the strengths of ADABOOST, the book equips healthcare professionals and researchers with valuable insights and tools to combat skin diseases and contribute to advancements in dermatology.

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