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{ "item_title" : "Machine Learning in Healthcare Informatics", "item_author" : [" Sumeet Dua", "U. Rajendra Acharya", "Prerna Dua "], "item_description" : "Introduction to Machine Learning in Healthcare Informatics.- Wavelet-Based Machine Learning Techniques for ECG Signal Analysis.- Application of Fuzzy Logic Control for Regulation of Glucose Level of Diabetic Patient.- A Study on Machine Learning in EEG Signal Analysis.- The Application of Genetic Algorithm for Unsupervised Classification of ECG.- Pixel-based Machine Learning in Computer-aided Diagnosis of Lung and Colon Cancer.- Understanding foot function during stance phase by Bayesian Network based causal inference.- Rule Learning in Healthcare and Health Services Research.- Machine Learning Techniques for AD/MCI Diagnosis and Prognosis.- Using Machine Learning to Plan Rehabilitation for Home Care Clients: Beyond Black-Box Predictions.- Techniques for AD/MCI Diagnosis and Prognosis.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/64/240/016/3642400167_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning in Healthcare Informatics|Sumeet Dua

Machine Learning in Healthcare Informatics

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Overview

Introduction to Machine Learning in Healthcare Informatics.- Wavelet-Based Machine Learning Techniques for ECG Signal Analysis.- Application of Fuzzy Logic Control for Regulation of Glucose Level of Diabetic Patient.- A Study on Machine Learning in EEG Signal Analysis.- The Application of Genetic Algorithm for Unsupervised Classification of ECG.- Pixel-based Machine Learning in Computer-aided Diagnosis of Lung and Colon Cancer.- Understanding foot function during stance phase by Bayesian Network based causal inference.- Rule Learning in Healthcare and Health Services Research.- Machine Learning Techniques for AD/MCI Diagnosis and Prognosis.- Using Machine Learning to Plan Rehabilitation for Home Care Clients: Beyond "Black-Box" Predictions.- Techniques for AD/MCI Diagnosis and Prognosis.

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Details

  • ISBN-13: 9783642400162
  • ISBN-10: 3642400167
  • Publisher: Springer
  • Publish Date: December 2013
  • Dimensions: 9.21 x 6.14 x 0.81 inches
  • Shipping Weight: 1.45 pounds
  • Page Count: 332

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