AI and Neuro-Degenerative Diseases: Insights and Solutions
Gaur, Loveleen, Abraham, Ajith, Ajith, Reuel
商品描述
This book explores the current state of healthcare practice and provides a roadmap for harnessing artificial intelligence (AI) and other modern cognitive technologies for neurogenerative diseases. The main goal of this book is to look at how these techniques can be used to classify patients with neurodegenerative diseases by extracting data from multiple modalities. It demonstrates that the growing development of computer-aided diagnosis systems has a lot of potential to help with the diagnostic process. It offers an analysis of the prospective and perils in implementing such state of the art.
Progressive brain disorders with a high prevalence in the general population include Parkinson's disease, Alzheimer's disease and other types of dementia, Huntington's disease, and motor neuron disease. Worldwide, it is estimated that 33 million people have Alzheimer's disease, and 10 million people have Parkinson's disease. The global health economy is significantly impacted by these disorders, which affect both the patient and the caregivers. Various diagnostic techniques are used for differential diagnoses, such as brain imaging, EEG analysis, molecular analysis, and cognitive, psychological, and physical examination. The book aims to develop effective treatments, enhance patient quality of life, and extend life expectancy. It focuses on novel artificial intelligence approaches to clarify the pathogenesis of neurodegenerative disorders and provide early diagnosis.The authors compile recent developments based on machine learning and deep learning techniques to diagnose neurodegenerative diseases using imaging, genetic, and clinical data. The authors support initiatives and methods that aim to improve the application of algorithms in diagnostic practice.商品描述(中文翻譯)
本書探討了當前醫療實踐的狀態，並提供了一個利用人工智能（AI）和其他現代認知技術來應對神經退行性疾病的路線圖。本書的主要目標是探討這些技術如何通過從多種模式中提取數據來對神經退行性疾病患者進行分類。它證明了計算機輔助診斷系統的不斷發展在診斷過程中具有很大的潛力。它提供了對實施這種最新技術的前景和危險的分析。
在全球人口中，高發生率的漸進性腦部疾病包括帕金森病、阿爾茨海默病和其他類型的癡呆症、亨廷頓病和運動神經元疾病。全球估計有3300萬人患有阿爾茨海默病，1000萬人患有帕金森病。這些疾病對全球健康經濟產生了重大影響，不僅影響患者本人，也影響照顧者。各種診斷技術被用於進行鑑別診斷，如腦部影像學、腦電圖分析、分子分析以及認知、心理和體格檢查。本書旨在開發有效的治療方法，提高患者的生活質量並延長壽命。它專注於新穎的人工智能方法，以澄清神經退行性疾病的發病機制並提供早期診斷。
作者們根據機器學習和深度學習技術的最新發展，編纂了使用影像、基因和臨床數據診斷神經退行性疾病的方法。作者們支持旨在改善診斷實踐中算法應用的倡議和方法。
作者簡介
Dr. Loveleen Gaur is currently working as an adjunct professor with Taylor University, Malaysia & University of South Pacific, Fiji and academic consultant with Australian School of Graduate Studies. Before moving to USA, she was working as Professor with Amity University, India. She has supervised several PhD scholars, Post Graduate students, mainly in Artificial Intelligence and Data Analytics for business and healthcare. Under her guidance, the AI/Data Analytics research cluster has published extensively in high impact factor journals and has established extensive research collaboration globally with several renowned professionals.
She is a senior IEEE member and Series Editor with CRC and Wiley. She has high indexed publications in SCI/ABDC/WoS/Scopus and has several Patents/copyrights on her account, edited/authored many research books published by world-class publishers. She has excellent experiencein supervising and co-supervising postgraduate and PhD students internationally. An ample number of Ph.D. and master's students graduated under her supervision. She is an external Ph.D./Master thesis examiner/evaluator for several universities globally. She has also served as Keynote speaker for several international conferences, presented several Webinars worldwide, chaired international conference sessions. Prof. Gaur has significantly contributed to enhancing scientific understanding by participating in many scientific conferences, symposia, and seminars, by chairing technical sessions and delivering plenary and invited talks.
She has specialized in the fields of Artificial Intelligence, Machine Learning, Pattern Recognition, Internet of Things, Data Analytics and Business Intelligence. She has chaired various positions in International Conferences of repute and is a reviewer with top rated journals of IEEE, SCI and ABDC Journals. She has been honored with prestigious National and International awards.
She has introduced courses related to Artificial Intelligence specialization including, Predictive Analytics, Deep and Reinforcement learning etc. She has vast experience teaching advanced-era specialized courses, including Predictive Analytics, Data Visualization, Social Network Analytics, Deep Learning, Power BI, Digital Marketing and Digital Innovation etc., besides other undergraduate and postgraduate courses, graduation projects, and thesis supervision.
Dr. Ajith Abraham is the current Dean of the Faculty of Computing and Data Sciences at FLAME University, India. He is also a Professor of Artificial Intelligence. He is the Founding Director of Machine Intelligence Research Labs, a not-for-profit Scientific Network for Innovation and Research Excellence connecting industry and academia. The Network with HQ in Seattle, USA has currently more than 1,500 scientific members from over 105 countries. As an Investigator / Co-Investigator, he has won research grants worth over 100+ Million US$. He has over 33 years of industry and academic experience. His primary research is on developing advanced machine intelligence using hybridization of function approximation methods, approximate reasoning and global optimization methods focused on big data analytics, understanding networks, information security, Web intelligence, decision support systems, the Internet of Things, etc.
He has authored or co-authored more than 1,400 research publications out of which there are 100+ books covering various aspects of Computer Science. One of his books was translated to Japanese and few other articles were translated to Russian and Chinese. Dr. Abraham has more than 50,000+ academic citations (h-index of 105+ as per google scholar). He has given more than 150 plenary lectures and conference tutorials (in 20+ countries). Dr. Abraham was the Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (which has over 200+ members) during 2008-2021 and served as a Distinguished Lecturer of IEEE Computer Society representing Europe (2011-2013). Dr. Abraham was the editor-in-chief of Engineering Applications of Artificial Intelligence (EAAI) during 2016-2021 and serves/served the editorial board of over 15 International Journals indexed by Thomson ISI. He received Ph.D. in Computer Science from Monash University, Melbourne, Australia (2001) and a Master of Science degree in Control and Automation from Nanyang Technological University, Singapore. He holds a Bachelor's Degree in Electrical and Electronic Engineering from the University of Calicut, India.
Dr. Reuel Ajith finished MD degree in June 2021 from the Faculty of Medicine in Vilnius University, Lithuania. His research interests are in Internal medicine with a focus on neuro-degenerative diseases. He was in a team of researchers that developedthe usage of artificial intelligence and free-speech to detect early signs of Parkinson's disease. The early detection mechanism used signal and speech processing techniques integrated with machine learning algorithms. He is affiliated with Machine Intelligence Research Labs (MIR Labs) dealing with AI and health care related projects.
作者簡介(中文翻譯)
Dr. Loveleen Gaur目前在馬來西亞泰勒大學和南太平洋大學以及澳大利亞研究生學院擔任兼職教授，並擔任學術顧問。在移居美國之前，她在印度Amity大學擔任教授。她指導了多位博士研究生和研究生，主要研究人工智能和商業與醫療數據分析。在她的指導下，AI/數據分析研究團隊在高影響因子期刊上發表了大量論文，並與多位知名專業人士建立了廣泛的全球研究合作。
她是IEEE的高級會員，也是CRC和Wiley的系列編輯。她在SCI/ABDC/WoS/Scopus等期刊上發表了高引用的論文，並擁有多項專利/版權，編輯/撰寫了多本由世界一流出版商出版的研究書籍。她在國際上具有豐富的研究生和博士生指導和共同指導經驗，許多博士和碩士生在她的指導下畢業。她是全球多所大學的外部博士/碩士論文評審人。她還擔任過多個國際會議的主題演講嘉賓，並在全球范圍內進行了多次網絡研討會，主持國際會議分會場次。Gaur教授通過參加許多科學會議、研討會和研討會，擔任技術會議主席和發表全體和邀請演講，為增進科學理解做出了重要貢獻。
她專攻人工智能、機器學習、模式識別、物聯網、數據分析和商業智能等領域。她在國際知名會議上擔任過多個職位，並是IEEE、SCI和ABDC期刊的審稿人。她獲得了多項國家和國際榮譽獎項。
她引入了與人工智能專業相關的課程，包括預測分析、深度學習和強化學習等。她在教授高級專業課程方面擁有豐富的經驗，包括預測分析、數據可視化、社交網絡分析、深度學習、Power BI、數字營銷和數字創新等，此外還有其他本科和研究生課程、畢業項目和論文指導。
Dr. Ajith Abraham是印度FLAME大學計算和數據科學學院的院長，也是人工智能教授。他是機器智能研究實驗室的創始主任，該實驗室是一個連接工業和學術界的非營利科學研究卓越網絡。該網絡總部位於美國西雅圖，目前擁有來自105個國家的1500多名科學成員。作為調查員/共同調查員，他獲得了價值超過1億美元的研究資助。他擁有超過33年的工業和學術經驗。他的主要研究方向是利用函數逼近方法、近似推理和全局優化方法開發先進的機器智能，重點是大數據分析、理解網絡、信息安全、Web智能、決策支持系統、物聯網等。
他是超過1400篇研究論文的作者或合著者，其中包括100多本涵蓋計算機科學各個方面的書籍。他的一本書被翻譯成日語，幾篇文章被翻譯成俄語和中文。Abraham博士在學術引用方面擁有超過50,000次的引用（根據谷歌學術的h指數為105+）。他發表了150多場全體演講和會議教程（在20多個國家）。Abraham博士曾擔任IEEE Systems Man的主席
