An In-Depth Comprehensive Analysis of Machine Learning Tools Applied in Biomedical Contexts: A Case Study Analysis
Arun Kumar Singh1, Lokendra Kumar Tiwari2
1Dr. Lokendra Kumar Tiwari, Assistant Professor, Ewing Christian College, Allahabad, United University, Allahabad (Uttar Pradesh), India.
2Dr. Arun Kumar Singh, Professor, Department of Computer Science and Engineering, G.L. Bajaj Institute of Technology and Management, Greater Noida (Uttar Pradesh), India.
Manuscript received on 21 July 2024 | Revised Manuscript received on 28 October 2024 | Manuscript Accepted on 15 November 2024 | Manuscript published on 30 November 2024 | PP: 1-4 | Volume-12 Issue-12, November 2024 | Retrieval Number: 100.1/ijese.G92270811922 | DOI: 10.35940/ijese.G9227.12121124
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With the wave of technological progress in this modern time, artificial intelligence (AI) has not only been introduced in various fields but is also being used worldwide, especially in healthcare. Artificial intelligence (AI) is slowly changing medical practices. Along with recent advances in machine learning, digital data acquisition, and computing infrastructure, AI applications are expanding into areas previously thought to be the province of human experts. In this research paper, we have focused how machine learning can be used to effectively provide solutions to many medical/biomedical issues, the paper identifies, challenges for further advances in Healthcare System AI systems, and summarized economic, legal, and social healthcare.
Keywords: Healthcare System, Artificial Intelligence (AI), Intelligent System, Machine Learning.
Scope of the Article: Computer Science and Applications