Machine Learning Applications for Data Analysis in Healthcare Systems
暫譯: 醫療系統中的數據分析機器學習應用

這本綜合性的探索研究了機器學習技術在醫療數據分析中的強大交集及其不斷變化的影響，改變了我們面對醫療挑戰、改善病人結果和提升醫療系統的方式。醫療行業產生了大量數據，從電子健康紀錄和醫學影像到基因組測序和可穿戴設備。然而，這些數據的真正價值不在於其龐大的數量，而在於它所能提供的洞察。機器學習演算法提供了揭示這些數據中隱藏模式和知識的手段，使我們能夠做出明智的決策、識別高風險病人，並為更好的醫療結果量身定制干預措施。本書強調機器學習技術的實際應用，並以真實案例研究和範例作為支持。

Sudeshna Chakraborty, PhD, is a Professor and Research Group Head of data analytics and deep learning at Galgotias University, India. With over 20 years of academic and industry experience, she has received several awards. She has been a keynote speaker, an organizing member of international conferences, a member of review committees, session chair, speaker at training and faculty development programs, etc. She has filed eight patents in the field of robotic, solar energy, and sensors and has published in Scopus- and SCI-indexed journals and international conferences.

Jyotsna Singh, PhD, is Chairperson of the School of Technology Management and Engineering at NMIMS, India. In her more than 21-year career in education, she has been Director, Dean of Students, etc., with institutions including NIT Kurukshetra, Northcap University, Amity University, Lloyd Group, IILM, and others. She has participated in workshops, has undertaken government-funded projects, and has initiated dozens of university-related programs. She has published and presented research papers in journals and conferences as well as several departmental books.

Praveen Kumar Shukla, PhD, is an Assistant Professor with the Department of IoT and Intelligent Systems at Manipal University Jaipur, India. Dr. Shukla's research interests focus on brain computer interfacing, medical image processing, and robotics. He has published 40 research articles and is a reviewer for the several IEEE journals. He is currently supervising PhD students. He has six patents to his name. He has received four best paper awards and a best thesis award.

Prasenjit Chatterjee, PhD, is Dean (Research and Consultancy) at the MCKV Institute of Engineering, West Bengal, India. He has published over 130 research papers and has authored and edited more than 15 books on intelligent decision-making, supply chain management, optimization techniques, risk, and sustainability modeling and is also an editor for several book series. He has received numerous awards for his work. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods: Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI).

Sudeshna Chakraborty, PhD 是印度 Galgotias 大學數據分析與深度學習的教授及研究小組負責人。她擁有超過 20 年的學術和產業經驗，並獲得多項獎項。她曾擔任主題演講者、國際會議的組織成員、審查委員會成員、會議主席、培訓及教職員發展計劃的演講者等。她在機器人、太陽能和傳感器領域申請了八項專利，並在 Scopus 和 SCI 索引的期刊及國際會議上發表過論文。

Jyotsna Singh, PhD 是印度 NMIMS 技術管理與工程學院的院長。在她超過 21 年的教育生涯中，她曾擔任 NIT Kurukshetra、Northcap 大學、Amity 大學、Lloyd 集團、IILM 等機構的主任、學生院長等職位。她參加過多個工作坊，承接過政府資助的項目，並啟動了數十個與大學相關的計劃。她在期刊和會議上發表和展示過研究論文，並出版了幾本系所書籍。

Praveen Kumar Shukla, PhD 是印度 Manipal 大學 Jaipur 的物聯網與智能系統系助理教授。Shukla 博士的研究興趣集中在腦機介面、醫學影像處理和機器人技術上。他已發表 40 篇研究文章，並擔任多本 IEEE 期刊的審稿人。目前他正在指導博士生，並擁有六項專利。他獲得過四項最佳論文獎和一項最佳論文獎。

Prasenjit Chatterjee, PhD 是印度西孟加拉 MCKV 工程學院的研究與顧問院長。他已發表超過 130 篇研究論文，並撰寫和編輯了 15 本以上關於智能決策、供應鏈管理、優化技術、風險和可持續性建模的書籍，並擔任多個書系的編輯。他的工作獲得了多項獎項。Chatterjee 博士是兩種多準則決策方法的開發者之一：替代方案的測量與根據妥協解的排名 (MARCOS) 以及通過將準則子區間功能映射到單一區間的替代方案排名 (RAFSI)。