Artificial Intelligence in Healthcare: Emphasis on Diabetes, Hypertension, and Depression Management
暫譯: 醫療保健中的人工智慧：專注於糖尿病、高血壓和憂鬱症管理
Bathla, Gourav, Kumar, Sanoj, Garg, Harish
相關主題
商品描述
This book presents state-of-the-art research works for a better understanding of the advantages and limitations of AI techniques in the field of healthcare. It will further discuss artificial intelligence applications in depression, hypertension and diabetes management. The text also presents an artificial intelligence chatbot for depression, diabetes, and hypertension self-help.
This book:
- Provides a structured overview of recent developments of artificial intelligence applications in the healthcare sector.
- Presents an in-depth understanding of how artificial intelligence techniques can be applied to diabetes management.
- Showcases supervised learning techniques based on datasets for depression management.
- Discusses artificial intelligence chatbot for diabetes, depression, and hypertension self-care.
- Highlights the importance of artificial intelligence in managing and predicting diabetes, hypertension, and depression.
The text is primarily written for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.
商品描述(中文翻譯)
本書介紹了最先進的研究成果，以更好地理解人工智慧技術在醫療領域的優勢和限制。它將進一步討論人工智慧在抑鬱症、高血壓和糖尿病管理中的應用。文本還介紹了一個針對抑鬱症、糖尿病和高血壓的人工智慧聊天機器人自助工具。
本書：
- 提供了醫療領域中人工智慧應用的最新發展的結構化概述。
- 深入理解人工智慧技術如何應用於糖尿病管理。
- 展示了基於數據集的抑鬱症管理的監督學習技術。
- 討論了針對糖尿病、抑鬱症和高血壓自我護理的人工智慧聊天機器人。
- 強調了人工智慧在管理和預測糖尿病、高血壓和抑鬱症中的重要性。
本書主要針對高年級本科生、研究生以及來自不同領域的學術研究者，包括電機工程、電子與通信工程、計算機科學與工程以及生物醫學工程。
作者簡介
Gourav Bathla is working as Associate Professor at GLA University, India. He has 17 years of teaching and research experience. He has completed PhD from Punjabi University, Punjab, India. He has completed M.E from Delhi College of Engineering, India. He is GATE qualified with All India Rank 59. He is an active researcher and published 25 research papers in reputed Journals and 10 research papers in International Conferences. He has published 4 patents. His areas of interest are Big Data, Machine Learning, Deep Learning, NLP, and Programming Languages. He is reviewer of various Journals such as Engineering Applications of Artificial Intelligence, Scientific Reports, Journal of Supercomputing, Online Information Review, IAES International Journal of Artificial Intelligence etc. and TPC member of various International Conferences.
Sanoj Kumar works as an assistant professor (SG) at the University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India. Earlier, he worked as a postdoctoral fellow with the Department of Mathematics and Computer Science, University of Udine, Italy, from October 2013 to September 2014. He completed his PhD in mathematics from IIT Roorkee, India, in 2013. Dr. Kumar's research interests include image processing, computer vision, and machine learning. He has authored more than 22 papers published in refereed international journals and conferences, including those from Elsevier, Springer, Taylor & Francis, etc. He has also authored two book chapters. He is a reviewer for various journals such as ISA Transactions (Elsevier), IET Image Processing, Optical Engineering (SPIE), Applied Mathematical Modeling (Elsevier), etc. He also got the best paper and young scientist awards in NETCRYPT 2020. His teaching area includes Engineering Mathematics I, Engineering Mathematics II, discrete mathematics, graph theory, optimization techniques, numerical analysis, linear algebra, probability and statistics, real analysis, complex analysis, differential equation etc.
Harish Garg is working as an Associate Professor at Thapar Institute of Engineering & Technology, Deemed University, Patiala, Punjab, India. He is ranked in the World's Top 2% Scientist List and Rank #1 in India & World Rank #229 published by Stanford University in the consecutive three years 2020, 2021, 2022. He is the recipient of the Obada-Prize 2022 - Young Distinguished Researchers. He is also the recipient of the Top-Cited paper by an India-based author (2015 - 2019) from Elsevier Publisher. He also serves as an advisory board member of the Universal Scientific Education and Research Network (USERN). Dr. Garg's research interests include Computational Intelligence, Multi-criteria decision making, Evolutionary algorithms, Reliability analysis, Expert systems and decision support systems, Computing with words and Soft Computing. He has authored more than 410 papers (over 360 are SCI) published in refereed International Journals including IEEE Transactions, Elsevier, Springer etc. He has also authored seven book chapters. Also, he edited 8 books from Elsevier, Springer and other publishers. His Google citations are over 18240 with H-index- 76. Dr. Garg also serves on editorial boards of several leading international journals, this includes the Founding Editor-in-Chief of the Journal of Computational and Cognitive Engineering. He is also the Associate Editor of IEEE Transaction of Fuzzy Systems, Soft Computing, Alexandria Engineering Journal, Journal of Intelligent & Fuzzy Systems, Complex and Intelligent Systems, Journal of Industrial & Management Optimization, CAAI Transactions on Intelligence Technology, etc. For more details about him, kindly follow his webpage https: //sites.google.com/site/harishg58iitr/home.
Deepika Saini is an assistant professor at Graphic Era (deemed to be) University, Dehradun, Uttarakhand, India. Previously, in 2016, she received her Ph.D. in Mathematics from IIT Roorkee in India. She completed her M.Sc. in Mathematics from H.N.B. Garhwal University, Srinagar, Uttarakhand, India. She won the gold medal for securing first place among all PG students in her M.Sc. in 2005. Dr. Saini's research interests include computer vision, image processing, computer graphics, and their applications in various branches of engineering. She has published more than 16 papers in various international journals and reputed conferences, including those of Elsevier, Springer, Taylor & Francis, etc. She has also authored a book chapter. She also got the best paper award in NETCRYPT 2020. Her teaching area includes Mathematics I, Mathematics II, Mathematics III, discrete mathematics, computer based numerical and statistics techniques, linear programming, numerical analysis, linear algebra, algebra, differential equation etc.
作者簡介(中文翻譯)
Gourav Bathla 目前擔任印度 GLA 大學的副教授。他擁有 17 年的教學和研究經驗，並在印度旁遮普大學獲得博士學位。他在印度德里工程學院完成碩士學位，並且在 GATE 考試中獲得全國排名第 59。他是一位活躍的研究者，已在知名期刊上發表 25 篇研究論文，並在國際會議上發表 10 篇研究論文。他擁有 4 項專利。他的研究興趣包括大數據（Big Data）、機器學習（Machine Learning）、深度學習（Deep Learning）、自然語言處理（NLP）和程式語言（Programming Languages）。他是多本期刊的審稿人，如《工程應用人工智慧》（Engineering Applications of Artificial Intelligence）、《科學報告》（Scientific Reports）、《超級計算期刊》（Journal of Supercomputing）、《在線信息評論》（Online Information Review）、IAES 國際人工智慧期刊（IAES International Journal of Artificial Intelligence）等，並且是多個國際會議的技術程序委員會成員。
Sanoj Kumar 目前擔任印度德拉敦的石油與能源研究大學的助理教授（SG）。他曾於 2013 年 10 月至 2014 年 9 月在意大利烏迪內大學的數學與計算機科學系擔任博士後研究員。他於 2013 年在印度 IIT Roorkee 獲得數學博士學位。Kumar 博士的研究興趣包括影像處理（image processing）、計算機視覺（computer vision）和機器學習（machine learning）。他已在多個國際期刊和會議上發表超過 22 篇論文，包括來自 Elsevier、Springer、Taylor & Francis 等的論文。他還撰寫了兩個書章。他是多本期刊的審稿人，如 ISA Transactions（Elsevier）、IET Image Processing、光學工程（Optical Engineering, SPIE）、應用數學建模（Applied Mathematical Modeling, Elsevier）等。他在 NETCRYPT 2020 獲得最佳論文和青年科學家獎。他的教學領域包括工程數學 I、工程數學 II、離散數學、圖論、優化技術、數值分析、線性代數、機率與統計、實分析、複分析、微分方程等。
Harish Garg 目前擔任印度旁遮普州帕提亞拉的 Thapar 工程與技術學院的副教授。他在斯坦福大學發表的世界前 2% 科學家名單中排名第 1，並在印度和世界排名第 229，這一成就持續三年（2020、2021、2022）。他是 2022 年 Obada 獎 - 年輕傑出研究者的獲得者。他還獲得了 2015 至 2019 年期間由印度作者發表的高引用論文獎（Top-Cited paper）來自 Elsevier 出版社。他還擔任全球科學教育與研究網絡（USERN）的顧問委員會成員。Garg 博士的研究興趣包括計算智能（Computational Intelligence）、多準則決策（Multi-criteria decision making）、進化演算法（Evolutionary algorithms）、可靠性分析（Reliability analysis）、專家系統和決策支持系統（Expert systems and decision support systems）、語言計算（Computing with words）和軟計算（Soft Computing）。他已發表超過 410 篇論文（其中超過 360 篇為 SCI）於多個國際期刊，包括 IEEE Transactions、Elsevier、Springer 等。他還撰寫了七個書章，並編輯了 8 本來自 Elsevier、Springer 和其他出版商的書籍。他的 Google 引用次數超過 18240，H 指數為 76。Garg 博士還擔任多個領先國際期刊的編輯委員會成員，包括《計算與認知工程期刊》（Journal of Computational and Cognitive Engineering）的創始主編。他還是 IEEE 模糊系統交易（IEEE Transaction of Fuzzy Systems）、軟計算（Soft Computing）、亞歷山大工程期刊（Alexandria Engineering Journal）、智能與模糊系統期刊（Journal of Intelligent & Fuzzy Systems）、複雜與智能系統期刊（Complex and Intelligent Systems）、工業與管理優化期刊（Journal of Industrial & Management Optimization）、CAAI 智能技術交易（CAAI Transactions on Intelligence Technology）等的副編輯。欲了解更多信息，請訪問他的網頁 https://sites.google.com/site/harishg58iitr/home。
Deepika Saini 目前擔任印度德拉敦的 Graphic Era（被認定為）大學的助理教授。她於 2016 年在印度 IIT Roorkee 獲得數學博士學位，並在印度 H.N.B. Garhwal 大學完成數學碩士學位。她在 2005 年的碩士學位中獲得金牌，成為所有研究生中的第一名。Saini 博士的研究興趣包括計算機視覺（computer vision）、影像處理（image processing）、計算機圖形學（computer graphics）及其在各工程領域的應用。她已在多個國際期刊和知名會議上發表超過 16 篇論文，包括來自 Elsevier、Springer、Taylor & Francis 等的論文。她還撰寫了一個書章。她在 NETCRYPT 2020 獲得最佳論文獎。她的教學領域包括數學 I、數學 II、數學 III、離散數學、基於計算機的數值與統計技術、線性規劃、數值分析、線性代數、代數、微分方程等。
