Machine Learning Technology in Biomedical Engineering

ISBN 10: 3725808031 / ISBN 13: 9783725808038

Published by MDPI AG, 2024

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 'Machine Learning Technology in Biomedical Engineering' aims to provide a platform for researchers to showcase their latest research and findings on the application of machine learning technology in the field of biomedical engineering. The use of machine learning technology in healthcare has been growing rapidly in recent years and has the potential to revolutionize multiple aspects of healthcare, including disease diagnosis, treatment, and personalized medicine. This Special Issue covers a wide range of topics related to the application of machine learning in biomedical engineering, including predictive modelling, image and signal processing, deep learning, drug discovery, biomarker discovery, and medical decision making. By applying machine learning algorithms to large datasets of biomedical information, researchers and healthcare professionals can gain new insights into disease mechanisms, identify new biomarkers for disease, and develop more effective treatments. Machine learning algorithms can also be used to improve medical imaging analysis, automate medical diagnosis and decision making, and optimize drug-discovery processes. This Special Issue is significant because it encourages interdisciplinary collaboration between machine learning and biomedical-engineering researchers.

Seller Inventory # 9783725808038

Bibliographic Details

• Title: Machine Learning Technology in Biomedical Engineering
• Publisher: MDPI AG
• Publication Date: 2024
• Language: English
• ISBN 10: 3725808031
• ISBN 13: 9783725808038
• Binding: Buch
• Condition: Neu
• Dimensions: 250W x 175H x 16D millimeters 250 millimeters width by 175 millimeters height by 16 millimeters depth
• Weight: 635 grams

About this title

Synopsis

"Machine Learning Technology in Biomedical Engineering" aims to provide a platform for researchers to showcase their latest research and findings on the application of machine learning technology in the field of biomedical engineering. The use of machine learning technology in healthcare has been growing rapidly in recent years and has the potential to revolutionize multiple aspects of healthcare, including disease diagnosis, treatment, and personalized medicine. This Special Issue covers a wide range of topics related to the application of machine learning in biomedical engineering, including predictive modelling, image and signal processing, deep learning, drug discovery, biomarker discovery, and medical decision making. By applying machine learning algorithms to large datasets of biomedical information, researchers and healthcare professionals can gain new insights into disease mechanisms, identify new biomarkers for disease, and develop more effective treatments. Machine learning algorithms can also be used to improve medical imaging analysis, automate medical diagnosis and decision making, and optimize drug-discovery processes. This Special Issue is significant because it encourages interdisciplinary collaboration between machine learning and biomedical-engineering researchers.