Deep Learning in Diabetes Mellitus Detection and Diagnosis
暫譯: 糖尿病檢測與診斷中的深度學習

Chaki, Jyotismita, Wozniak, Marcin

Deep Learning in Diabetes Mellitus Detection and Diagnosis
  • 出版商: CRC
  • 出版日期: 2025-01-30
  • 售價: $5,180
  • 貴賓價: 9.5 折 $4,921
  • 語言: 英文
  • 頁數: 188
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032647000
  • ISBN-13: 9781032647005
  • 相關分類: DeepLearning

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商品描述

Deep Learning in Diabetes Mellitus Detection and Diagnosis focuses on deep learning-based approaches in the field of diabetes mellitus detection and diagnosis, including preprocessing techniques which are an essential part of this subject. This is the first book of its kind to cover deep learning-based approaches in the specific field of diabetes mellitus. This book includes a detailed introductory overview as well as chapters on current applications, preprocessing of data using deep learning, deep learning techniques, complexity, challenges, and future directions. It will be of great interest to researchers and professionals working on diabetes mellitus as well as general medical applications of machine learning.

Features:

  • Highlights how the use of deep neural networks-based applications can address new questions and protocols, as well as improve upon existing challenges in diabetes mellitus detection and diagnosis
  • Assist scholars and students who might like to learn about this area as well as others who may have begun without a formal presentation, with no complex mathematical equations
  • Involves exceptional subject coverage and includes the principles needed to understand deep learning

商品描述(中文翻譯)

《糖尿病檢測與診斷中的深度學習》專注於基於深度學習的方法在糖尿病檢測與診斷領域的應用，包括預處理技術，這是該主題的重要組成部分。這是首本涵蓋糖尿病特定領域中基於深度學習方法的書籍。本書包括詳細的介紹概述，以及有關當前應用、使用深度學習的數據預處理、深度學習技術、複雜性、挑戰和未來方向的章節。對於從事糖尿病研究的研究人員和專業人士，以及機器學習在一般醫療應用中的應用者，這本書將引起極大的興趣。

特點：
- 突出顯示基於深度神經網絡的應用如何解決新的問題和協議，並改善糖尿病檢測與診斷中的現有挑戰
- 協助希望了解這一領域的學者和學生，以及那些可能在沒有正式介紹的情況下開始學習的其他人，且不涉及複雜的數學方程
- 涉及卓越的主題涵蓋，並包括理解深度學習所需的原則

作者簡介

Dr. Jyotismita Chaki is an Associate Professor at the School of Computer Science and Engineering, Vellore Institute of Technology, India. Holding a PhD in Engineering from Jadavpur University, Kolkata, her research focuses on Computer Vision, Image Processing, Pattern Recognition, Medical Imaging, Artificial Intelligence, and Machine Learning. With a prolific publication record, Dr. Chaki has authored over 50 international conference and journal papers and contributed to more than ten books as author or editor. Her editorial roles currently include Editor of Engineering Applications of Artificial Intelligence (Elsevier), Section Editor of PeerJ Computer Science, and Associate Editor for Computer and Electrical Engineering, Array, and Machine Learning with Applications journals (Elsevier). She is a Senior Member of IEEE.

Marcin Wozniak received the M.Sc. degree in applied mathematics, the Ph.D. degree in computational intelligence, the D.Sc. degree in computational intelligence and Full Professor honours from the President of Poland. M. Wozniak is currently a Full Professor with the Faculty of Applied Mathematics, Silesian University of Technology.

He is a Scientific Supervisor in editions of "The Diamond Grant" and "The Best of the Best" programs for highly talented students from the Polish Ministry of Science and Higher Education. He participated in various scientific projects (as Lead Investigator, Scientific Investigator, Manager, Participant and Advisor) at Polish, Italian and Lithuanian universities and projects with applied results at IT industry both funded from the National Centre for Research and Development and abroad. He was a Visiting Researcher with universities in Italy, Sweden, and Germany.

He has authored/coauthored over 300 research papers in international conferences and journals. His current research interests include neural networks with their applications together with various aspects of fuzzy logic and control, applied computational intelligence accelerated by evolutionary computation and federated learning models.

In 2017 Prof Marcin Wozniak was awarded by the Polish Ministry of Science and Higher Education with a scholarship for an outstanding young scientist. In years 2021 and 2024 he received two awards from the Polish Ministry of Science and Higher Education for research achievements. In 2020, 2021, 2022 and 2023 Prof Marcin Wozniak was presented among "TOP 2% Scientists in the World" by Stanford University for his career achievements. Prof Marcin Wozniak is also presented among the Best Computer Science Scientists in Poland by Research.com.

Marcin Wozniak is the Editorial Board member or an Editor for Biomedical Signal Processing and Control, Sensors, Machine Learning with Applications, Pattern Analysis and Applications. He also guest edit special issues ie. IEEE Journal Biomedical and Health Informatics, IEEE ACCESS, Measurement, Sustainable Energy Technologies and Assessments, Frontiers in Human Neuroscience, PeerJ CS, International Journal of Distributed Sensor Networks, Computational Intelligence and Neuroscience, Journal of Universal Computer Science, etc. Prof. Marcin Wozniak is a Session Chair at various international conferences and symposiums, including IEEE Symposium Series on Computational Intelligence, IEEE Congress on Evolutionary Computation, International Joint Conference on Neural Networks, etc.

作者簡介(中文翻譯)

Dr. Jyotismita Chaki 是印度維洛爾科技學院計算機科學與工程學院的副教授。她擁有加爾各答的賈達夫普大學工程學博士學位，研究專注於計算機視覺、影像處理、模式識別、醫學影像、人工智慧和機器學習。Dr. Chaki 擁有豐富的出版紀錄，已發表超過 50 篇國際會議和期刊論文，並作為作者或編輯貢獻於十多本書籍。她目前的編輯角色包括《Engineering Applications of Artificial Intelligence》（Elsevier）的編輯、《PeerJ Computer Science》的區域編輯，以及《Computer and Electrical Engineering》、《Array》和《Machine Learning with Applications》期刊的副編輯（Elsevier）。她是 IEEE 的資深會員。

Marcin Wozniak 獲得應用數學碩士學位、計算智能博士學位、計算智能科學博士學位及波蘭總統授予的全職教授榮譽。M. Wozniak 目前是西里西亞科技大學應用數學系的全職教授。他是波蘭科學與高等教育部「The Diamond Grant」和「The Best of the Best」計畫的科學監督，該計畫旨在支持高才學生。他參與了多個科學項目（擔任首席研究員、科學研究員、經理、參與者和顧問），這些項目在波蘭、意大利和立陶宛的多所大學進行，並在 IT 行業中產生應用結果，資金來自國家研究與發展中心及國外。他曾在意大利、瑞典和德國的多所大學擔任訪問研究員。

他已在國際會議和期刊上發表/合著超過 300 篇研究論文。他目前的研究興趣包括神經網絡及其應用，模糊邏輯和控制的各個方面，應用計算智能，並加速進化計算和聯邦學習模型。

在 2017 年，Marcin Wozniak 教授獲得波蘭科學與高等教育部頒發的傑出青年科學家獎學金。在 2021 年和 2024 年，他因研究成就獲得波蘭科學與高等教育部的兩項獎項。在 2020、2021、2022 和 2023 年，Marcin Wozniak 教授因其職業成就被史丹佛大學列為「全球前 2% 科學家」。Marcin Wozniak 教授也被 Research.com 評選為波蘭最佳計算機科學科學家之一。

Marcin Wozniak 是《Biomedical Signal Processing and Control》、《Sensors》、《Machine Learning with Applications》、《Pattern Analysis and Applications》的編輯委員會成員或編輯。他還擔任多個特刊的客座編輯，例如 IEEE Journal Biomedical and Health Informatics、IEEE ACCESS、Measurement、Sustainable Energy Technologies and Assessments、Frontiers in Human Neuroscience、PeerJ CS、International Journal of Distributed Sensor Networks、Computational Intelligence and Neuroscience、Journal of Universal Computer Science 等。Marcin Wozniak 教授在各種國際會議和研討會上擔任會議主席，包括 IEEE Symposium Series on Computational Intelligence、IEEE Congress on Evolutionary Computation、International Joint Conference on Neural Networks 等。

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