Impact of machine learning and deep learning on biomedical applications and healthcare industry

Cataloged from PDF version of the article.

Podrobná bibliografie
Hlavní autoři: Kabir, Md Saif, Alam, Shahed
Médium: Článek
Jazyk:English
Vydáno: BRAC University Research For Development Club (BURED) 2024
Témata:
On-line přístup:http://hdl.handle.net/10361/24426
id 10361-24426
record_format dspace
spelling 10361-244262024-10-28T21:01:32Z Impact of machine learning and deep learning on biomedical applications and healthcare industry Kabir, Md Saif Alam, Shahed Biomedical engineering Machine learning Deep learning Healthcare Data-driven insights Medical diagnostics Artificial intelligence Artificial intelligence. Data mining. Healthcare. Medical care. Biomedical engineering. Machine learning. Cataloged from PDF version of the article. Includes bibliographical references (pages 147-149). A new era of innovation and change in healthcare and medical diagnostics has started as a result of the advancements in Machine Learning (ML) and Deep Learning (DL). Machine learning and deep learning are not just supplemental tools. They are also the catalysts for a paradigm shift in healthcare industry that promises more efficient and individualized healthcare solutions in the nearby future. The substantial impacts of these cutting-edge algorithms on the biomedical applications have been explored in this research paper. With the help of Artificial Intelligence (AI) and its related field, researchers and healthcare professionals now have access to technologies that can analyze large and complicated datasets, extract insightful knowledge, diagnose medical conditions and make incredibly precise predictions. Md Saif Kabir Shahed Alam 2024-10-28T05:00:15Z 2024-10-28T05:00:15Z ©2024 2024-07-03 Article Kabir, M. S., & Alam, S. (2024). Impact of machine learning and deep learning on biomedical applications and healthcare industry. REFLECTION, 1, 142–149. 9789849906995 http://hdl.handle.net/10361/24426 en The BRAC University Research For Development Club (BURED) retains all rights. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 8 pages application/pdf BRAC University Research For Development Club (BURED)
institution Brac University
collection Institutional Repository
language English
topic Biomedical engineering
Machine learning
Deep learning
Healthcare
Data-driven insights
Medical diagnostics
Artificial intelligence
Artificial intelligence.
Data mining.
Healthcare.
Medical care.
Biomedical engineering.
Machine learning.
spellingShingle Biomedical engineering
Machine learning
Deep learning
Healthcare
Data-driven insights
Medical diagnostics
Artificial intelligence
Artificial intelligence.
Data mining.
Healthcare.
Medical care.
Biomedical engineering.
Machine learning.
Kabir, Md Saif
Alam, Shahed
Impact of machine learning and deep learning on biomedical applications and healthcare industry
description Cataloged from PDF version of the article.
format Article
author Kabir, Md Saif
Alam, Shahed
author_facet Kabir, Md Saif
Alam, Shahed
author_sort Kabir, Md Saif
title Impact of machine learning and deep learning on biomedical applications and healthcare industry
title_short Impact of machine learning and deep learning on biomedical applications and healthcare industry
title_full Impact of machine learning and deep learning on biomedical applications and healthcare industry
title_fullStr Impact of machine learning and deep learning on biomedical applications and healthcare industry
title_full_unstemmed Impact of machine learning and deep learning on biomedical applications and healthcare industry
title_sort impact of machine learning and deep learning on biomedical applications and healthcare industry
publisher BRAC University Research For Development Club (BURED)
publishDate 2024
url http://hdl.handle.net/10361/24426
work_keys_str_mv AT kabirmdsaif impactofmachinelearninganddeeplearningonbiomedicalapplicationsandhealthcareindustry
AT alamshahed impactofmachinelearninganddeeplearningonbiomedicalapplicationsandhealthcareindustry
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