Machine learning with health care perspective : machine learning and healthcare
著者
書誌事項
Machine learning with health care perspective : machine learning and healthcare
(Learning and analytics in intelligent systems, v. 13)
Springer, c2020
大学図書館所蔵 全3件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references
内容説明・目次
内容説明
This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges.
目次
Chapter 1: Machine learning for Healthcare: Introduction.- Chapter 2: Artificial Intelligence in Medical Diagnosis: Methods, algorithms and applications.- Chapter 3: Intelligent Learning Analytics in Healthcare Sector Using Machine Learning.- Chapter 4: Unsupervised Learning on Healthcare Survey Data with Particle Swarm Optimization.- Chapter 5: Machine Learning for Healthcare Diagnostics.- Chapter 6: Disease Detection System (DDS) Using Machine Learning Technique.- Chapter 7: Knowledge Discovery (Feature Identification) from Teeth, Wrist and Femur Images to determine Human Age and Gender.- Chapter 8: Deep Learning Solutions for Skin Cancer Detection and Diagnosis.- Chapter 9: Security of Healthcare Systems with Smart Health Records using Cloud Technology.- Chapter 10: Intelligent Heart Disease Prediction on Physical and Mental Parameters: A ML Based IoT and Big Data Application and Analysis.- Chapter 11: Medical Text and image processing: Applications, issues and challenges.- Chapter 12: Machine Learning Methods for Managing Parkinson's Disease.- Chapter 13: An Efficient Method for Computer-aided Diagnosis of Cardiac Arrhythmias.- Chapter 14: Clinical decision support systems and predictive analytics.- Chapter 15: Yajna and Mantra Science Bringing Health and Comfort to Indo-Asian Public: A Healthcare 4.0 Approach and Computational Study.- Chapter 16: Identifying Diseases and Diagnosis using Machine Learning.
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