Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes
暫譯: 醫療保健的機器學習與人工智慧：利用大數據改善健康結果

Panesar, Arjun

Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes
  • 出版商: Apress
  • 出版日期: 2020-12-16
  • 售價: $2,050
  • 貴賓價: 9.5 折 $1,948
  • 語言: 英文
  • 頁數: 407
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 148426536X
  • ISBN-13: 9781484265369
  • 相關分類: 人工智慧、大數據 Big-data、Machine Learning

    • 海外代購書籍(需單獨結帳)

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商品描述

This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data.

The book has been updated with the latest research in massive data, machine learning, and AI ethics. It covers new topics in managing the complexities of massive data, and provides examples of complex machine learning models. Updated case studies from global healthcare providers showcase the use of big data and AI in the fight against chronic and novel diseases, including COVID-19. The ethical implications of digital healthcare, analytics, and the future of AI in population health management are explored. You will learn how to create a machine learning model, evaluate its performance, and operationalize its outcomes within your organization. Case studies from leading healthcare providers cover scaling global digital services. Techniques are presented to evaluate the efficacy, suitability, and efficiency of AI machine learning applications through case studies and best practice, including the Internet of Things.

You will understand how machine learning can be used to develop health intelligence-with the aim of improving patient health, population health, and facilitating significant care-payer cost savings.


What You Will Learn

  • Understand key machine learning algorithms and their use and implementation within healthcare
  • Implement machine learning systems, such as speech recognition and enhanced deep learning/AI
  • Manage the complexities of massive data
  • Be familiar with AI and healthcare best practices, feedback loops, and intelligent agents


Who This Book Is For
Health care professionals interested in how machine learning can be used to develop health intelligence - with the aim of improving patient health, population health and facilitating significant care-payer cost savings.

商品描述(中文翻譯)

這本更新的第二版提供了機器學習演算法和架構設計的導覽。它展示了智能系統在醫療保健中的實際應用，並涵蓋了管理大數據的挑戰。

本書已更新最新的關於大數據、機器學習和人工智慧倫理的研究。它探討了管理大數據複雜性的全新主題，並提供了複雜機器學習模型的範例。來自全球醫療保健提供者的更新案例研究展示了在對抗慢性病和新型疾病（包括 COVID-19）中大數據和人工智慧的應用。書中探討了數位醫療、分析以及人工智慧在群體健康管理中的未來的倫理影響。您將學習如何創建機器學習模型、評估其性能，並在您的組織內部實現其結果。來自領先醫療保健提供者的案例研究涵蓋了擴展全球數位服務的內容。書中介紹了通過案例研究和最佳實踐來評估人工智慧機器學習應用的有效性、適用性和效率的技術，包括物聯網。

您將了解如何利用機器學習來開發健康智能，旨在改善病人健康、群體健康並促進顯著的醫療支付者成本節省。

您將學到的內容：

- 理解關鍵的機器學習演算法及其在醫療保健中的使用和實施
- 實施機器學習系統，例如語音識別和增強深度學習/人工智慧
- 管理大數據的複雜性
- 熟悉人工智慧和醫療保健的最佳實踐、反饋循環和智能代理

本書適合對機器學習如何用於開發健康智能感興趣的醫療保健專業人員，旨在改善病人健康、群體健康並促進顯著的醫療支付者成本節省。

作者簡介

Arjun Panesar is the founder of Diabetes Digital Media (DDM), the world's largest diabetes community and provider of evidence-based digital health interventions. He holds an honors degree (MEng) in computing and artificial intelligence from Imperial College, London. He has a decade of experience in big data and affecting user outcomes, and leads the development of intelligent, evidence-based digital health interventions that harness the power of big data and machine learning to provide precision patient care to patients, health agencies, and governments worldwide.

Arjun's work has received international recognition and was featured by the BBC, Forbes, New Scientist, and The Times. He has received innovation, business, and technology awards, including being named the top app for prevention of type 2 diabetes.

Arjun is an advisor to the Information School, at the University of Sheffield, Fellow to the NHS Innovation Accelerator, and was recognized by Imperial College as an Emerging Leader in 2020 for his contribution and impact to society.


作者簡介(中文翻譯)

阿爾君·潘薩爾是糖尿病數位媒體（Diabetes Digital Media, DDM）的創辦人，該公司是全球最大的糖尿病社群及基於證據的數位健康介入提供者。他擁有倫敦帝國學院計算機與人工智慧的榮譽學位（MEng）。他在大數據及影響用戶結果方面擁有十年的經驗，並領導開發智能的、基於證據的數位健康介入，利用大數據和機器學習的力量，為全球的患者、健康機構和政府提供精準的患者護理。

阿爾君的工作獲得國際認可，曾被BBC、《福布斯》（Forbes）、《新科學家》（New Scientist）和《泰晤士報》（The Times）報導。他獲得了創新、商業和技術獎項，包括被評選為預防2型糖尿病的最佳應用程式。

阿爾君是謝菲爾德大學資訊學院的顧問，英國國民健康服務（NHS）創新加速器的研究員，並於2020年因其對社會的貢獻和影響而被帝國學院認定為新興領袖。

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