Artificial Intelligence for Predictive Healthcare: Towards Personalized Treatment and Disease Prevention
暫譯: 預測性醫療的人工智慧：邁向個人化治療與疾病預防

Bukhari, Syed Nisar Hussain

Artificial Intelligence for Predictive Healthcare: Towards Personalized Treatment and Disease Prevention
  • 出版商: Auerbach Publication
  • 出版日期: 2026-05-07
  • 售價: $4,350
  • 貴賓價: 9.5 折 $4,132
  • 語言: 英文
  • 頁數: 305
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041137559
  • ISBN-13: 9781041137559
  • 相關分類: Machine Learning

    • 尚未上市，無法訂購

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商品描述

Artificial intelligence (AI) and predictive technology are revolutionizing healthcare by enabling more accurate diagnoses, personalized treatment plans, and proactive patient care. They can forecast disease progression, predict patient readmission risks, identify individuals at high risk for conditions like sepsis or heart failure, and optimize treatment protocols based on individual patient characteristics. By shifting healthcare from a reactive to a predictive model, these technologies not only improve patient outcomes and reduce mortality rates but also significantly lower healthcare costs by preventing complications and reducing unnecessary procedures, ultimately creating a more efficient and effective healthcare ecosystem.

Artificial Intelligence for Predictive Healthcare: Towards Personalized Treatment and Disease Prevention delves into the algorithms, technologies, and applications that are driving this transformation of healthcare. Highlights include:

  • Optimizing diagnosis and treatment plans with AI
  • Machine learning and generative AI for cancer diagnosis and treatment
  • The evolving role of healthcare professionals in smart healthcare
  • Hybrid machine learning algorithms for early prediction of diabetes

Bringing together the perspectives of professionals, researchers, and practitioners working at the intersection of technology and healthcare, the book reflects a shared belief that AI's role in healthcare is not just about algorithms and data but about improving lives. From predicting disease outbreaks to creating tailored treatment plans, the book covers a range of applications. With real-world examples and case studies, it offers a roadmap to understanding AI's potential to predict, personalize, and prevent health conditions.

商品描述(中文翻譯)

人工智慧 (AI) 和預測技術正在徹底改變醫療保健，通過實現更準確的診斷、個性化的治療計劃和主動的病人護理。這些技術可以預測疾病進展、預測病人再入院的風險、識別高風險個體（如敗血症或心臟衰竭），並根據個別病人的特徵優化治療方案。通過將醫療保健從反應式轉變為預測式，這些技術不僅改善了病人的結果並降低了死亡率，還通過預防併發症和減少不必要的程序顯著降低了醫療成本，最終創造出一個更高效和有效的醫療生態系統。

《人工智慧在預測醫療中的應用：邁向個性化治療與疾病預防》深入探討了推動醫療轉型的算法、技術和應用。重點包括：
- 利用 AI 優化診斷和治療計劃
- 機器學習和生成式 AI 在癌症診斷和治療中的應用
- 醫療專業人員在智慧醫療中的角色演變
- 混合機器學習算法在糖尿病早期預測中的應用

本書匯集了在技術與醫療交匯處工作的專業人士、研究人員和實踐者的觀點，反映出一種共同信念：AI 在醫療中的角色不僅僅是算法和數據，而是改善生活。從預測疾病爆發到創建量身定制的治療計劃，本書涵蓋了一系列應用。通過真實案例和實例，它提供了一條理解 AI 在預測、個性化和預防健康狀況潛力的路徑。

作者簡介

Dr. Syed Nisar Hussain Bukhari is an accomplished academician and researcher, currently serving as Scientist-D at the National Institute of Electronics and Information Technology (NIELIT), Srinagar-an institute under the Ministry of Electronics and Information Technology (MeitY), Government of India. He brings over 12 years of experience in teaching, research, and institutional leadership, with a specialized focus on artificial intelligence, machine learning, deep learning, and their interdisciplinary applications.

Dr. Bukhari completed his bachelor's and master's degrees in computer applications from the University of Kashmir and earned his PhD in machine learning from the University Institute of Computing, Chandigarh University, in 2022. His research contributions have been published in several high-impact journals, including IEEE Transactions, Nature, Springer, MDPI, and so on. In addition to journal publications, his work has been widely cited in international conferences and book chapters.

He has received multiple Best Paper Awards at various international forums and holds patents for his research innovations. His editorial engagements include authoring and editing books published by CRC Press, Taylor & Francis Group. He is a reviewer for leading journals such as Scientific Reports (Nature), Computers in Biology and Medicine (Elsevier), and Briefings in Bioinformatics (Oxford University Press) and regularly serves as a session chair at Scopus-indexed international conferences. He serves as an academic editor for PLOS One--a prestigious, high-impact factor journal--where he contributes to the peer review and curation of highquality interdisciplinary research. Additionally, he served as a guest editor for two thematic collections of the Journal of Visualized Experiments (JoVE) titled "Recent Advancements in Computational Biology and Bioinformatics" and "Next-Gen Computational Techniques in Medical Imaging and Signal Processing," highlighting his engagement with emerging research trends and editorial leadership in the field.

As a faculty member, Dr. Bukhari has taught a wide range of technical subjects, including machine learning, Python, web technologies, and data structures, to postgraduate students. He has also led training initiatives in artificial intelligence and emerging technologies for engineering students, professionals, and government stakeholders. Dr. Bukhari led the Department of Information Technology at NIELIT Srinagar, where he played a key role in strengthening undergraduate and postgraduate academic programs. He is currently serving as academic head at NIELIT Srinagar and head, Department of Computer Science and Applications, at NIELIT Deemed to be University, Srinagar Campus.

Known for his collaborative spirit, Dr. Bukhari maintains active research partnerships with institutions across India and abroad. He is a member of the Institution of Electronics and Telecommunication Engineers (IETE) and the International Association of Engineers (IAENG). His professional journey reflects a sustained commitment to research excellence, academic mentorship, and the development of impactful, technology-driven solutions.

作者簡介(中文翻譯)

Syed Nisar Hussain Bukhari 博士是一位成就卓越的學者和研究者，目前擔任印度電子與資訊技術部（MeitY）下屬的國家電子與資訊技術研究所（NIELIT）科學家-D。他擁有超過12年的教學、研究和機構領導經驗，專注於人工智慧、機器學習、深度學習及其跨學科應用。

Bukhari 博士在喀什米爾大學獲得計算機應用的學士和碩士學位，並於2022年在昌迪加爾大學的計算機學院獲得機器學習的博士學位。他的研究成果已發表在多個高影響力的期刊上，包括IEEE Transactions、Nature、Springer、MDPI等。此外，他的工作在國際會議和書籍章節中也被廣泛引用。

他在各種國際論壇上獲得多個最佳論文獎，並擁有其研究創新相關的專利。他的編輯工作包括撰寫和編輯由CRC Press、Taylor & Francis Group出版的書籍。他是多個領先期刊的審稿人，如Scientific Reports（Nature）、Computers in Biology and Medicine（Elsevier）和Briefings in Bioinformatics（Oxford University Press），並定期擔任Scopus索引的國際會議的會議主席。他擔任PLOS One的學術編輯，這是一個享有盛譽的高影響因子期刊，為高質量的跨學科研究的同行評審和策展做出貢獻。此外，他還擔任過Journal of Visualized Experiments（JoVE）兩個主題特刊的客座編輯，主題為「計算生物學和生物資訊學的最新進展」及「醫學影像和信號處理中的下一代計算技術」，突顯了他對新興研究趨勢的參與和在該領域的編輯領導能力。

作為教職員，Bukhari 博士教授了包括機器學習、Python、網頁技術和資料結構等多種技術科目，面向研究生。他還為工程學生、專業人士和政府利益相關者主導了人工智慧和新興技術的培訓計劃。Bukhari 博士曾領導NIELIT Srinagar的信息技術系，在加強本科和研究生學術課程方面發揮了關鍵作用。他目前擔任NIELIT Srinagar的學術負責人及NIELIT被認可大學Srinagar校區計算機科學與應用系的負責人。

Bukhari 博士以其合作精神而聞名，與印度及國外的機構保持積極的研究夥伴關係。他是電子與電信工程師學會（IETE）和國際工程師協會（IAENG）的成員。他的職業生涯反映了對研究卓越、學術指導和開發有影響力的技術驅動解決方案的持續承諾。

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