Machine Learning for Healthcare: Handling and Managing Data
暫譯: 醫療保健中的機器學習：數據處理與管理

《醫療保健的機器學習：數據處理與管理》提供了有關通過機器學習方法處理和管理醫療保健數據的深入資訊。本書表達了醫療資訊學中長期存在的挑戰，並提供了如何應對這些挑戰的合理解釋。

《醫療保健的機器學習：數據處理與管理》提供了如何在您的組織內應用機器學習的技術，並評估機器學習應用的有效性、適用性和效率。這些技術在一個案例研究中得到了說明，該研究考察了如何通過以患者為主導的數據學習和物聯網重新定義慢性疾病。本書提供了機器學習算法、架構設計和醫療保健中學習應用的導覽。讀者將發現機器學習在醫療保健中的倫理影響以及機器學習在優化人口和患者健康方面的未來。本書還可以幫助創建機器學習模型、性能評估以及在組織內部運用其結果。它可能吸引從事機器學習領域的計算機科學/資訊技術專業人士和研究人員，尤其適用於醫療保健行業。

本書的特色包括：
- 對醫療保健行業中機器學習應用的獨特和全面的關注。
- 檢視如何使用醫療數據和生物資訊學進行數據分析。
- 探討醫療公司如何利用大數據的多樣性來發現新的商業價值。
- 探索機器學習的概念，以及醫療保健領域的最新研究發展。

Rashmi Agrawal is a Professor in the Department of

Computer Applications in MRIIRS, Faridabad. Dr.

Agrawal has a rich teaching experience of more than 17

years. She is UGC-NET(CS) qualified, and has completed

a PhD, M. Phil, M. Tech, MSc, and MBA(IT). Her

PhD focused on the area of machine learning, and her

areas of expertise include Artificial Intelligence,

Machine Learning, Data Mining, and Operating

Systems. She has published more than 30 research

papers in various national and international conferences and journals, and

has authored many published books and chapters. She has organized various

faculty development programs and has also directly participated in

workshops and faculty development programmes. She is actively involved

in research activities, and is a lifetime member of Computer Society of India.

She has been a member of the technical programme committee of various

reputable conferences.

Jyotir Moy Chatterjee is an Assistant Professor at the

IT Department of Lord Buddha Education Foundation

(Asia Pacific University of Technology and Innovation),

Kathmandu, Nepal. Prior to this he has worked as an

Assistant Professor at the CSE Department of GD Rungta

College of Engineering and Technology (CSVTU),

Bhilai, India. He has completed an M. Tech in Computer

Science and Engineering from Kalinga Institute of

Industrial Technology, Bhubaneswar, Odisha and a B.

Tech in Computer Science and Engineering from Dr.

MGR Educational and Research Institute, Chennai. He has published 40

international research papers, two international conference papers, authored

four books, edited eight books, written 11 book chapters and has one patent

to his account. His research interests include cloud computing, big data,

privacy preservation, data mining, the Internet of Things, machine learning,

and blockchain technology. He is a member of various professional societies

and international conferences.

Abhishek Kumar has a PhD in computer science from

University of Madras and an M. Tech in computer science

and engineering from Government Engineering

College Ajmer at Rajasthan Technical University, Kota,

India. He has over eight years of experience in academic

teaching and has been published more than 55 times in

reputed, peer-reviewed national and international journals,

books and conferences (such as by Wiley, Taylor &

Francis, Springer, Elsevier, Science Direct, Inderscience, Annals of Computer

Science, Poland, and IEEE). His research areas include: Artificial Intelligence,

image processing, computer vision, data mining, and machine learning. He

has also been on the international conference committees of many international

conferences, and is currently serving as a reviewer for IEEE and

Inderscience journals. He has authored six internationally published books

and has edited 11 books with Wiley, IGI GLOBAL, Springer, Apple Academic

Press, CRC, and more. He is also member of various national and international

professional societies in the field of engineering and research including

being a member of IEEE, ISOC (Internet Society)); IAIP (International

Association of Innovation Professionals), ICSES (International Computer

Science and Engineering Society) IAENG (International Association of

Engineers); an associate member of IRED (Institute of Research Engineers

and Doctors; a life member of ISRD (International Society for research &

Development); and an editorial board member of IOSRD. He has received the

national Sir CV Raman lifetime achievement award in 2018 in the young

researcher and faculty category.

Pramod Singh Rathore is currently pursuing his PhD

in computer science and engineering at Bundelkhand

University and is conducting ongoing research on networking.

He has an M. Tech in computer science and

engineering from Government Engineering College

Ajmer, at Rajasthan Technical University, Kota, India.

He has been working as an Assistant Professor of the

Computer Science and Engineering Department at

Aryabhatt Engineering College and Research Centre,

Ajmer, Rajasthan and is also a visiting faculty at Government University

MDS Ajmer. He has over eight years of experience in academic teaching

and has been published more than 45 times in reputed, peer-reviewed

national and international journals, books and conferences (such as Wiley,

IGI GLOBAL, Taylor & Francis, Springer, Elsevier, Science Direct, Annals of

Computer Science, Poland, and IEEE). He has co-authored and edited many

books with many reputed publishers like Wiley, and CRC Press, USA. His

research areas include: NS2, computer networks, mining, and DBMS.

Dac-Nhuong Le has a PhD and is Deputy-Head of

the Faculty of Information Technology at Haiphong

University, Vietnam and Vice-Director of Information

Technology at the Apply Center of the same university.

He is a research scientist at the Research and

Development Center of Visualization & Simulation in

(CSV), Duy Tan University, Danang, Vietnam. He has

more than 45 publications in the reputed international

conferences, journals, and online book chapter contributions

(indexed by: SCI, SCIE, SSCI, Scopus, ACM, and

DBLP). His areas of research include: evaluation computing and approximate

algorithms, network communication, security and vulnerability,

network performance analysis and simulation, cloud computing, and biomedical

image processing. His core work is in network security, wireless,

soft computing, mobile computing and biomedical technology. Recently, he

has been on a technical program committee, a technical reviewer, and the

track chair for international conferences such as: FICTA 2014, CSI 2014, IC4SD

2015, ICICT 2015, INDIA 2015, IC3T 2015, INDIA 2016, FICTA 2016, IC3T 2016,

ICDECT 2016, IUKM 2016, INDIA 2017, FICTA 2017, CISC 2017, ICICC 2018,

ICCUT 2018 under the Springer-ASIC/LNAI/CISC Series. Presently, he is

serving on the editorial board of international journals and he has authored

six computer science books (published by Springer, Wiley, CRC Press,

Lambert Publication, VSRD Academic Publishing, and Scholar Press).

**Rashmi Agrawal** 是法里達巴德 MRIIRS 計算機應用系的教授。Agrawal 博士擁有超過 17 年的豐富教學經驗。她通過了 UGC-NET(CS) 考試，並完成了博士學位、碩士學位、碩士技術學位、理學碩士和 MBA(IT)。她的博士研究專注於機器學習，專業領域包括人工智慧、機器學習、資料探勘和作業系統。她在各種國內外會議和期刊上發表了超過 30 篇研究論文，並著有多本出版書籍和章節。她組織了各種教師發展計畫，並直接參加了工作坊和教師發展計畫。她積極參與研究活動，並且是印度計算機學會的終身會員。她曾擔任多個知名會議的技術程序委員會成員。

**Jyotir Moy Chatterjee** 是尼泊爾加德滿都的佛陀教育基金會 (Asia Pacific University of Technology and Innovation) IT 系的助理教授。在此之前，他曾擔任印度比萊的 GD Rungta 工程與技術學院 (CSVTU) 計算機科學與工程系的助理教授。他在奧里薩邦布巴內斯瓦爾的卡林加工業技術學院獲得計算機科學與工程的碩士學位，並在印度金奈的 MGR 教育與研究院獲得計算機科學與工程的學士學位。他發表了 40 篇國際研究論文、兩篇國際會議論文，著有四本書，編輯了八本書，撰寫了 11 章書籍，並擁有一項專利。他的研究興趣包括雲計算、大數據、隱私保護、資料探勘、物聯網、機器學習和區塊鏈技術。他是多個專業學會和國際會議的成員。

**Abhishek Kumar** 擁有馬德拉斯大學的計算機科學博士學位，以及印度科塔的拉賈斯坦技術大學 Ajmer 政府工程學院的計算機科學與工程碩士學位。他在學術教學方面擁有超過八年的經驗，並在多個知名的同行評審國內外期刊、書籍和會議上發表了超過 55 篇論文（如 Wiley、Taylor & Francis、Springer、Elsevier、Science Direct、Inderscience、Computer Science Annals、波蘭和 IEEE）。他的研究領域包括：人工智慧、影像處理、計算機視覺、資料探勘和機器學習。他還曾參與多個國際會議的委員會，並目前擔任 IEEE 和 Inderscience 期刊的審稿人。他著有六本國際出版的書籍，並編輯了 11 本書，與 Wiley、IGI GLOBAL、Springer、Apple Academic Press、CRC 等出版社合作。他還是多個國內外工程和研究領域的專業學會成員，包括 IEEE、ISOC（網際網路學會）、IAIP（國際創新專業人員協會）、ICSES（國際計算機科學與工程學會）、IAENG（國際工程師協會）；IRED（研究工程師與醫生學會）的副會員；ISRD（國際研究與發展學會）的終身會員；以及 IOSRD 的編輯委員會成員。他在 2018 年獲得了全國 Sir CV Raman 終身成就獎，屬於年輕研究者和教師類別。

**Pramod Singh Rathore** 目前正在 Bundelkhand 大學攻讀計算機科學與工程的博士學位，並進行有關網路的持續研究。他擁有來自印度科塔的拉賈斯坦技術大學 Ajmer 政府工程學院的計算機科學與工程碩士學位。他在阿賈梅爾的 Aryabhatt 工程學院和研究中心的計算機科學與工程系擔任助理教授，並且也是 Ajmer 政府大學 MDS 的訪問教師。他在學術教學方面擁有超過八年的經驗，並在多個知名的同行評審國內外期刊、書籍和會議上發表了超過 45 篇論文（如 Wiley、IGI GLOBAL、Taylor & Francis、Springer、Elsevier、Science Direct、Computer Science Annals、波蘭和 IEEE）。他與多家知名出版社如 Wiley 和 CRC Press, USA 合作共同編寫和編輯了多本書籍。他的研究領域包括：NS2、計算機網路、資料探勘和資料庫管理系統。

**Dac-Nhuong Le** 擁有博士學位，並擔任越南海防大學資訊技術系的副主任及該大學應用中心的資訊技術副主任。他是越南 Duy Tan 大學視覺化與模擬研究與發展中心的研究科學家。他在多個知名國際會議、期刊和線上書籍章節貢獻中發表了超過 45 篇論文（索引來源包括：SCI、SCIE、SSCI、Scopus、ACM 和 DBLP）。他的研究領域包括：評估計算和近似演算法、網路通信、安全性與脆弱性、網路性能分析與模擬、雲計算和生物醫學影像處理。他的核心工作集中在網路安全、無線、軟計算、行動計算和生物醫學技術。最近，他參與了多個國際會議的技術程序委員會、技術審稿人和專題主席，如：FICTA 2014、CSI 2014、IC4SD 2015、ICICT 2015、INDIA 2015、IC3T 2015、INDIA 2016、FICTA 2016、IC3T 2016、ICDECT 2016、IUKM 2016、INDIA 2017、FICTA 2017、CISC 2017、ICICC 2018、ICCUT 2018，均在 Springer-ASIC/LNAI/CISC 系列下進行。目前，他擔任國際期刊的編輯委員會成員，並著有六本計算機科學書籍（由 Springer、Wiley、CRC Press、Lambert Publication、VSRD Academic Publishing 和 Scholar Press 出版）。