logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Biomedical Application Of Big Data And Artificial Intelligence Yan Pei

  • SKU: BELL-235406700
Biomedical Application Of Big Data And Artificial Intelligence Yan Pei
$ 35.00 $ 45.00 (-22%)

0.0

0 reviews

Biomedical Application Of Big Data And Artificial Intelligence Yan Pei instant download after payment.

Publisher: MDPI
File Extension: PDF
File size: 58.2 MB
Pages: 308
Author: Yan Pei, Jijiang Yang
ISBN: 9783725835706, 9783725835690, 3725835705, 3725835691
Language: English
Year: 2025

Product desciption

Biomedical Application Of Big Data And Artificial Intelligence Yan Pei by Yan Pei, Jijiang Yang 9783725835706, 9783725835690, 3725835705, 3725835691 instant download after payment.

This Special Issue, Biomedical Applications of Big Data and Artificial Intelligence, explores the transformative role of AI and big data in biomedical research and healthcare. This volume features 14 rigorously reviewed studies covering topics such as disease diagnosis, medical image processing, survival prediction, cognitive load assessment, and medical knowledge extraction. By integrating AI-driven methodologies with big data analytics, these studies aim to enhance diagnostic accuracy, medical efficiency, and personalized treatment planning.
-
Bridging the gap between AI-driven analytics and real-world medical applications, this reprint provides researchers, practitioners, and healthcare professionals with cutting-edge insights and methodologies. By collating studies exploring research areas including deep learning models for pathology segmentation, wearable ECG systems, or graph-based neural networks for patient monitoring, this collection presents a comprehensive overview of the latest advancements in AI-powered biomedical solutions. It is an essential resource for those interested in the intersection of data science, AI, and medicine, paving the way for future breakthroughs in healthcare technology.

Related Products