Advances in Healthcare Using Machine Learning: Volume 2
暫譯: 利用機器學習推進醫療保健：第二卷

人工智慧（AI）和電腦視覺的進步正在徹底改變醫療診斷，通過實時分析大量數據來實現。本書專注於機器學習（ML）演算法，這些演算法分析醫療數據並根據關鍵特徵預測疾病。

Sriparna Saha (M.E. & Ph.D, JU) is currently an Assistant Professor (Stage-II) in the Department of Computer Science and Engineering of Maulana Abul Kalam Azad University of Technology, West Bengal, India. She has more than 12 years of experience in teaching and research. Her research area includes AI, CV, HCI etc. with over 90 publications in international journals and conferences. Her major research proposal is accepted for Start Up Grant under UGC Basic Scientific Research Grant.

Lidia Ghosh (Gold-Medalist, M.Tech., JU) is an Assistant Professor in the Department of Computer Application at the RCC Institute of Information Technology, India. She was a Postdoctoral Fellow at Liverpool Hope University, UK, and has received multiple prestigious fellowships, including the Rashtriya Uchchatara Shiksha Abhiyan Doctoral Fellowship. She has published over 50 research papers and serves as a reviewer for top IEEE journals. Her research focuses on Cognitive Neuroscience, Deep Learning, Type-2 Fuzzy Sets, and Human Memory Formation.

Sriparna Saha（碩士及博士，JU）目前是印度西孟加拉邦Maulana Abul Kalam Azad科技大學計算機科學與工程系的助理教授（第二階段）。她擁有超過12年的教學和研究經驗。她的研究領域包括人工智慧（AI）、計算機視覺（CV）、人機互動（HCI）等，並在國際期刊和會議上發表了超過90篇論文。她的主要研究提案已獲得UGC基礎科學研究補助金下的啟動資金支持。

Lidia Ghosh（金牌得主，碩士，JU）是印度RCC資訊科技學院計算機應用系的助理教授。她曾在英國利物浦霍普大學擔任博士後研究員，並獲得多項著名獎學金，包括Rashtriya Uchchatara Shiksha Abhiyan博士獎學金。她已發表超過50篇研究論文，並擔任頂尖IEEE期刊的審稿人。她的研究重點在於認知神經科學、深度學習、二型模糊集以及人類記憶形成。