Machine Learning in Healthcare: Fundamentals and Recent Applications
暫譯: 醫療保健中的機器學習：基礎與最新應用
Singh, Bikesh Kumar, Sinha, G. R.
- 出版商: CRC
- 出版日期: 2022-02-18
- 售價: $4,110
- 貴賓價: 9.5 折 $3,905
- 語言: 英文
- 頁數: 226
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367564424
- ISBN-13: 9780367564421
-
相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
商品描述
Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc. Despite several studies that have proved the efficacy of AI/ML tools in providing improved healthcare solutions, it has not gained the trust of health-care practitioners and medical scientists. This is due to poor reporting of the technology, variability in medical data, small datasets, and lack of standard guidelines for application of AI. Therefore, the development of new AI/ML tools for various domains of medicine is an ongoing field of research.
Machine Learning in Healthcare: Fundamentals and Recent Applications discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises.
This text is ideal for readers interested in machine learning without any background knowledge and looking to implement machine-learning models for healthcare systems.
商品描述(中文翻譯)
人工智慧（AI）和機器學習（ML）技術在我們的日常生活中扮演著重要角色，透過增強預測和決策能力，影響著金融服務、房地產業、消費品、社交媒體等多個領域。儘管有多項研究證明AI/ML工具在提供改善醫療解決方案方面的有效性，但它仍未獲得醫療從業人員和醫學科學家的信任。這是因為技術報導不佳、醫療數據的變異性、小型數據集以及缺乏AI應用的標準指導方針。因此，為各個醫學領域開發新的AI/ML工具仍然是一個持續的研究領域。
《醫療保健中的機器學習：基礎與近期應用》討論了如何構建各種機器學習算法，以及它們如何應用於改善醫療系統。AI在醫療保健中的應用不勝枚舉：醫療數據分析、疾病的早期檢測和診斷、提供基於客觀的證據以減少人為錯誤、減少觀察者之間和觀察者內部的錯誤、風險識別和醫療管理的干預、實時健康監測、協助臨床醫生和患者選擇適當的藥物，以及評估藥物反應。書中提供了機器學習的各種原則及其在醫療保健中的應用的廣泛示範和討論，並附有解題範例和練習。
本書非常適合對機器學習感興趣但沒有任何背景知識的讀者，並希望在醫療系統中實施機器學習模型。
作者簡介
Dr Bikesh Kumar Singh is Assistant Professor in the Department of Biomedical Engineering at the National Institute of Technology Raipur, India, where he also received his Ph.D. in Biomedical Engineering. He has twelve years of teaching experience, and for five years he served as the Head of the Department of Biomedical Engineering. He has published more than seventy research papers in various international journals and conferences. He is the recipient of the Chhattisgarh Young Scientist Award, IETE Gowri Memorial Award, IEI Young Engineer Award.
Dr G.R. Sinha is Adjunct Professor at the International Institute of Information Technology Bangalore (IIITB) and deputed as Professor at Myanmar Institute of Information Technology (MIIT) Mandalay Myanmar. He has been Visiting Professor (Honorary) in Sri Lanka Technological Campus Colombo during 2019-2020. He has been Visiting Professor for teaching Short Graduate Course on Cognitive Science and Brain Computing Research at University of Sannio Italy during September 2020-March 2021.
He has published 275 research papers, book chapters and books at International level that includes Biometrics published by Wiley India, a subsidiary of John Wiley; Medical Image Processing published by Prentice Hall of India and 13 Edited books. He is Associate Editor of five SCI/Scopus indexed journals. He has teaching and research experience of 22 years. He has been Dean of Faculty and Executive Council Member of CSVTU and currently a member of Senate of MIIT. Dr Sinha has been delivering ACM lectures as ACM Distinguished Speaker in the field of DSP since 2017 across the world. His few more important assignments include Expert Member for Vocational Training Program by Tata Institute of Social Sciences (TISS) for Two Years (2017-2019); Chhattisgarh Representative of IEEE MP Sub-Section Executive Council (2014-2017); Distinguished Speaker in the field of Digital Image Processing by Computer Society of India (2015). He served as Distinguished IEEE Lecturer in IEEE India council for Bombay section.
He is recipient of more than 12 awards and recognitions at National and International levels. He has delivered more than 50 Keynote/Invited Talks and Chaired many Technical Sessions in International Conferences across the world such as Singapore, Myanmar, Sri Lanka, Irvine, Italy and India. He is Consultant of various Skill Development initiatives of NSDC, Govt. of India. He is regular Referee of Project Grants under DST-EMR scheme and several other schemes of Govt. of India.
作者簡介(中文翻譯)
比克什·庫馬爾·辛格博士是印度拉伊普爾國立技術學院生物醫學工程系的助理教授，並在該校獲得生物醫學工程博士學位。他擁有十二年的教學經驗，並曾擔任生物醫學工程系主任五年。他在各種國際期刊和會議上發表了超過七十篇研究論文。他是恰蒂斯加爾年輕科學家獎、IETE高瑞紀念獎和IEI年輕工程師獎的獲得者。
G.R. 辛哈博士是班加羅爾國際資訊技術學院（IIITB）的兼任教授，並被派任為緬甸資訊技術學院（MIIT）曼德勒的教授。他在2019年至2020年間擔任斯里蘭卡科技校園的訪問教授（榮譽）。他在2020年9月至2021年3月期間，擔任意大利桑尼奧大學的訪問教授，教授有關認知科學和腦計算研究的短期研究生課程。
他在國際層面上發表了275篇研究論文、書籍章節和書籍，包括由約翰·威利的子公司Wiley India出版的生物識別技術、由印度普倫蒂斯霍爾出版的醫學影像處理以及13本編輯書籍。他是五本SCI/Scopus索引期刊的副編輯。他擁有22年的教學和研究經驗，曾擔任CSVTU的院長和執行委員會成員，目前是MIIT的參議院成員。自2017年以來，辛哈博士作為ACM傑出演講者在全球範圍內發表有關數字信號處理（DSP）的ACM講座。他的幾個重要任務包括擔任塔塔社會科學研究所（TISS）職業培訓計劃的專家成員（2017-2019）；IEEE MP子區執行委員會的恰蒂斯加爾代表（2014-2017）；以及由印度計算機學會在數字影像處理領域的傑出演講者（2015）。他曾擔任IEEE印度委員會孟買分會的傑出IEEE講師。
他在國內和國際層面上獲得了超過12項獎項和榮譽。他在新加坡、緬甸、斯里蘭卡、爾灣、意大利和印度等地的國際會議上發表了超過50場主題演講/受邀演講，並主持了多場技術會議。他是印度政府NSDC各項技能發展計劃的顧問，也是印度政府DST-EMR計劃及其他多個計劃的常規評審。
