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B01=Jake Y Chen
B01=Subhendu Kumar Pani
B01=Sujata Dash
B01=Wellington Pinheiro Dos Santos
Category1=Non-Fiction
Category=MBF
Category=PS
Category=UNF
Category=UYM
COP=United States
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Mining Biomedical Text, Images and Visual Features for Information Retrieval

English

Mining Biomedical Text, Images and Visual Features for Information Retrieval provides broad coverage of the concepts, themes, and instrumentalities of the important, evolving area of biomedical text, images, and visual features towards information retrieval. The book aims to encourage an even wider adoption of IR methods for assisting in problem-solving and to stimulate research that may lead to additional innovations in this area of research. Topics covered include Internet of Things for health informatics; data privacy; smart healthcare; medical image processing; 3D medical images; evolutionary computing; deep learning; medical ontology; linguistic indexing; lexical analysis; and domain specific semantic categories in biomedical applications. This is a valuable resource for researchers and graduate students who are interested to learn more about data mining techniques to improve their research work. See more
Current price €132.99
Original price €139.99
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Age Group_Uncategorizedautomatic-updateB01=Jake Y ChenB01=Subhendu Kumar PaniB01=Sujata DashB01=Wellington Pinheiro Dos SantosCategory1=Non-FictionCategory=MBFCategory=PSCategory=UNFCategory=UYMCOP=United StatesDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 25 Nov 2024

Product Details
  • Weight: 450g
  • Dimensions: 191 x 235mm
  • Publication Date: 25 Nov 2024
  • Publisher: Elsevier Science Publishing Co Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9780443154522

About

Sujata Dash holds the position of Professor at the Information Technology School of Engineering and Technology Nagaland University Dimapur Campus Nagaland India bringing more than three decades of dedicated service in teaching and mentoring students. She has been honoured with the prestigious Titular Fellowship from the Association of Commonwealth Universities United Kingdom. As a testament to her global contributions she served as a visiting professor in the Computer Science Department at the University of Manitoba Canada. With a prolific academic record she has authored over 200 technical papers published in esteemed international journals and conference proceedings and edited book chapters by reputed publishers Serving as a reviewer and Associate Editor for approximately 15 international journals. Subhendu Kumar Pani received his Ph.D. from Utkal University Odisha India. He has more than 16 years of teaching and research experience. His research interests include data mining big data analysis web data analytics fuzzy decision making and computational intelligence. He is a fellow in SSARSC and life member in IE ISTE ISCA OBA.OMS SMIACSIT SMUACEE CSI. Professor dos Santos is creator and developer of innovative healthcare solutions for diagnosis and treatment using Artificial Intelligence. Applications in digital epidemiology neuroscience diagnostic imaging diagnosis by signs diagnosis by laboratory tests health informatics and bioinformatics. Founder of the Ada Lovelace Association. Leader of the Research Group on Biomedical Computing at UFPE. Enthusiast of social entrepreneurship and innovation in health. Before joining UAB Dr. Chen was the founding director of the Indiana Center for Systems Biology and Personalized Medicine at Indiana University and a tenured faculty member at Indiana University School of Informatics and Purdue University Computer Science Department. Dr. Chen has over 20 years of research and development experience in biological data mining systems biology and translational informatics in both Academia and the industry. He has over 150 peer-reviewed publications and presented worldwide on topics related to biocomputing bioinformatics and data sciences in life sciences. He was elected as the President-elect of the Midsouth Computational Biology and Bioinformatics Society (MCBIOS) in 2019. He also serves on the editorial boards of BMC Bioinformatics Journal of American Medical Informatics Association (JAMIA) and Personalized Medicine.

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