Machine Learning and Iot Applications for Health Informatics
暫譯: 健康資訊學中的機器學習與物聯網應用

本書匯集了來自世界各地的領先專家，探討機器學習（Machine Learning, ML）和物聯網（Internet of Things, IoT）在醫療保健中的變革潛力。它提供了一個平台，研究未來醫療保健如何變得更加精確、個性化和普及。本書涵蓋了將塑造醫療保健未來的最新進展，以及人工智慧如何徹底改變疾病檢測，從分析胸部X光片以檢測肺炎到解開我們基因的奧秘。它探討了智慧設備的變革潛力、心臟數據的即時分析以及個性化治療計劃的制定。它展示了ML和IoT如何運作，並提供了實際案例，說明它們如何導致更早且更準確的診斷和個性化治療。

因此，本編輯書籍將成為研究人員、醫療保健專業人士、數據科學家或對醫療保健未來充滿熱情的人的寶貴資源。讀者將發現ML、IoT和健康資訊學交匯處所帶來的激動人心的可能性。

Pijush Samui is working as a professor in the civil engineering department at NIT Patna, India. He graduated in 2000, with a B.Tech. in Civil Engineering from Indian Institute of Engineering Science and Technology, Shibpur, India. He received his M.Sc. in Geotechnical Earthquake Engineering from Indian Institute of Science, Bangalore, India (2004). He holds a Ph.D. in Geotechnical Earthquake Engineering (2008) from Indian Institute of Science, Bangalore, India. He was a postdoctoral fellow at University of Pittsburgh (USA) (2008-2009) and Tampere University of Technology (Finland) (2009- 2010). In 2010, Dr. Pijush joined the Center for Disaster Mitigation and Management at VIT University as an Associate Professor. He was promoted to full Professor in 2012. Dr. Pijush is the recipient of the prestigious CIMO fellowship (2009) from Finland, for his integrated research on the design of railway embankment. He was awarded Shamsher Prakash Research Award (2011) by IIT Roorkee for his innovative research on the application of Artificial Intelligence in designing civil engineering structures. He was selected as the recipient of IGS Sardar Resham Singh Memorial Award - 2013 for his innovative research on infrastructure project. He was elected Fellow of the International Congress of Disaster Management in 2010. He served as a guest editor in disaster advance journal. He also serves as an editorial board member in several international journals. He has been selected as an adjunct professor at Ton Duc Thang University (Ho Chi Minh City, Vietnam). He has been visiting professor at Far East Federal University (Russia).

Dr. Sanjiban Sekhar Roy is a Professor in the School of Computer Science and Engineering, Vellore Institute of Technology. His research interests include deep learning, advanced machine learning & Generative-AI. He has published around 74 articles in reputed international journals (with SCI impact factors), conferences and editorial board members to a handful of international journals and reviewer to many highly reputed journals. Dr. Roy also has edited around 10 books with reputed international publishers. Besides, the Ministry of National Education, Romania & "Aurel Vlaicu" University, Romania has awarded Dr. Roy with "Diploma of Excellence" for the scientific research activity in 2019. Dr Sanjiban was also an Associate Researcher with Ton Duc Thang University, Vietnam, from 2019 to 2020.

Dr. Wengang ZHANG is currently full professor in School of Civil Engineering, Chongqing University, China. His research interests focus on Underground Engineering, Slope Engineering, Bio-inspired Geotechnics, as well as big data and machine learning in geotechnics and geoengineering. He is now the members of the ISSMGE TC304 (Reliability), TC309 (Machine Learning), TC219 (System Performance of Geotechnical Structures) and TC222 (Digital Twin). He also serves Geoscience Frontiers as Associate Editor, Editorial member for Georisk, Journal of Rock Mechanics and Geotechnical Engineering as well as Underground Space Dr Zhang has been selected as 2021 Highly cited Chinese Scholars and the World's Top 2% Scientists for years 2019 and 2020. He won the 2019 Computers and Geotechnics Sloan Outstanding Paper Award and 2021 Underground Space Outstanding Paper Award.

Y-H. Taguchi received a B.S. degree in physics from the Tokyo Institute of Technology and a Ph.D. degree in physics from the Tokyo Institute of Technology. He is currently a full professor with the Department of Physics, Chuo University, Japan. His works have been published in leading journals such as Physical Review Letters, Bioinformatics, and Scientific Reports. His research interests include bioinformatics, machine-learning, and non-linear physics. He is also an editorial board member of Frontiers in Genetics: RNA, PloS ONE, PloS Complex Systems, BMC Medical Genomics, Medicine (Lippincott Williams & Wilkins journal), BMC Research Notes, non-coding RNA (MDPI), Scientific Reports, and IPSJ Transaction on Bioinformatics and was also recognized as top 2% scientist of the world in 3rd consecutive years (2021, 2022, 2023) according to analysis of Stanford University, USA and report of Elsevier in bioinformatics.

**Pijush Samui** 目前在印度 NIT Patna 的土木工程系擔任教授。他於 2000 年畢業，獲得印度西布爾工程科學與技術學院的土木工程學士學位 (B.Tech.)。他於 2004 年在印度班加羅爾的印度科學研究院獲得地質工程地震工程碩士學位 (M.Sc.)。他於 2008 年在印度班加羅爾的印度科學研究院獲得地質工程地震工程博士學位 (Ph.D.)。他曾於 2008 至 2009 年在美國匹茲堡大學擔任博士後研究員，並於 2009 至 2010 年在芬蘭坦佩雷科技大學任職。2010 年，Pijush 博士加入 VIT 大學的災害減緩與管理中心，擔任副教授，並於 2012 年晉升為正教授。Pijush 博士因其在鐵路堤防設計方面的綜合研究而獲得芬蘭的 CIMO 獎學金 (2009)。他因在土木工程結構設計中應用人工智慧的創新研究而獲得 IIT Roorkee 的 Shamsher Prakash 研究獎 (2011)。他因在基礎設施項目上的創新研究而被選為 IGS Sardar Resham Singh 紀念獎的獲獎者 (2013)。他於 2010 年當選國際災害管理大會的院士，並擔任災害進展期刊的客座編輯，還在多個國際期刊擔任編輯委員會成員。他被選為越南胡志明市的 Ton Duc Thang 大學的兼任教授，並曾在俄羅斯的遠東聯邦大學擔任訪問教授。

**Dr. Sanjiban Sekhar Roy** 是 Vellore Institute of Technology 計算機科學與工程學院的教授。他的研究興趣包括深度學習、先進機器學習和生成式人工智慧。他在知名國際期刊上發表了約 74 篇文章（具有 SCI 影響因子），並擔任多本國際期刊的編輯委員會成員及多個高知名度期刊的審稿人。Roy 博士還編輯了約 10 本與知名國際出版商合作的書籍。此外，羅馬尼亞國家教育部及「奧雷爾·弗拉伊庫」大學於 2019 年頒發給 Roy 博士「卓越獎狀」，以表彰其科學研究活動。Sanjiban 博士於 2019 至 2020 年期間擔任越南 Ton Duc Thang 大學的副研究員。

**Dr. Wengang ZHANG** 目前是中國重慶大學土木工程學院的正教授。他的研究興趣集中在地下工程、邊坡工程、生物啟發的土木技術，以及在土木工程和地質工程中的大數據和機器學習。他目前是 ISSMGE TC304（可靠性）、TC309（機器學習）、TC219（土木結構系統性能）和 TC222（數位雙胞胎）的成員。他還擔任《地球科學前沿》的副編輯、《地質風險》、《岩石力學與土木工程學報》以及《地下空間》的編輯委員。張博士於 2019 年和 2020 年被選為 2021 年高被引中國學者及全球前 2% 科學家。他獲得了 2019 年計算機與土木工程 Sloan 傑出論文獎和 2021 年地下空間傑出論文獎。

**Y-H. Taguchi** 獲得東京科技大學的物理學學士學位和物理學博士學位。他目前是日本中央大學物理系的正教授。他的研究成果發表在《物理評論快報》、《生物資訊學》和《科學報告》等領先期刊上。他的研究興趣包括生物資訊學、機器學習和非線性物理。他還是《基因組學前沿：RNA》、《PloS ONE》、《PloS 複雜系統》、《BMC 醫學基因組學》、《醫學》（Lippincott Williams & Wilkins 期刊）、《BMC 研究筆記》、《非編碼 RNA》（MDPI）、《科學報告》和《IPSJ 生物資訊學交易》的編輯委員會成員，並根據美國史丹佛大學的分析和 Elsevier 的報告，連續三年（2021、2022、2023）被認定為全球前 2% 科學家。