Artificial intelligence in precision health : from concept to applications
著者
書誌事項
Artificial intelligence in precision health : from concept to applications
Academic Press, 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 and index
内容説明・目次
内容説明
Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Additionally, there is a section dedicated to discuss and analyze AI products related to precision healthcare already available.
This book is a valuable source for clinicians, healthcare workers, and researchers from diverse areas of biomedical field who may or may not have computational background and want to learn more about the innovative field of artificial intelligence for precision health.
目次
Section 1: Artificial Intelligence Technologies1. Interpretable Artificial Intelligence: Addressing the Adoption Gap in Medicine2. Artificial Intelligence methods in computer-aided diagnostic tools and decision support analytics for clinical informatics3. Deep learning in Precision Medicine4. Machine learning systems and precision medicine: a conceptual and experimental approach to single individual statistics5. Machine learning in digital health, recent trends and on-going challenges6. Data Mining to Transform Clinical and Translational Research Findings into Precision Health
Section II: Applications and Precision Systems/Application of Artificial Intelligence7. Predictive Models in Precision Medicine8. Deep Neural Networks for Phenotype Prediction: Application to rare diseases9. Artificial Intelligence in the management of patients with intracranial neoplasms10. Artificial Intelligence to aid the early detection of Mental Illness11. Use of Artificial Intelligence in Alzheimer Disease Detection12. Artificial Intelligence to predict atheroma plaque vulnerability13. Decision support systems in cardiovascular medicine through artificial intelligence: applications in the diagnosis of infarction and prognosis of heart failure14. Artificial Intelligence for Decision Support Systems in Diabetes15. Clinical decision support systems to improve the diagnosis and management of respiratory diseases16. Use of Artificial Intelligence in Neurosurgery and Otorhinolaryngology (Head and Neck Surgery)17. Use of Artificial Intelligence in Emergency Medicine18. Use of Artificial Intelligence in Infectious diseases19. Artificial Intelligence techniques applied to patient care and monitoring20. Use of artificial intelligence in precision nutrition and fitness
Section III: Precision Systems21. Artificial Intelligence in Precision health: Systems in practice
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