Impact of machine learning and deep learning on biomedical applications and healthcare industry
Cataloged from PDF version of the article.
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BRAC University Research For Development Club (BURED)
2024
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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) |
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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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