Analysis on Machine Learning Strategies for Carcinoma Detection Biomarker
Article No.: 96, Pages 1 - 7
Abstract
Biomarkers are substances that are identifiable and can potentially be used to show if a disease is present or is progressing. Biomarkers have the potential to diagnose cancer, forecast its course, and direct decisions regarding treatment. It has enabled the discovery of genes, plasma metabolites, and miRNA biomarkers for various cancers. A potent method for finding and analyzing biomarkers in data sets is machine learning. A component of artificial intelligence, machine learning is still a crucial and significant step in the diagnosis of several illnesses in the human body. In this rapidly expanding research, an increasing number of medical professionals are depending on artificial intelligence to identify and diagnose illnesses inside the body. The only issue is that they are striving to improve both precision and accuracy. Thus, we have provided an overview of the technologies used in the case of biomarkers used to detect cancer in the body in this article. This article will provide an overview of the work completed so far and assist future researchers in discovering new avenues for exploration within the specific research areas they cover.
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Published In
November 2023
1215 pages
ISBN:9798400709418
DOI:10.1145/3647444
Copyright © 2023 ACM.
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Published: 13 May 2024
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ICIMMI 2023
ICIMMI 2023: International Conference on Information Management & Machine Intelligence
November 23 - 25, 2023
Jaipur, India
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