Published: Aug. 25, 2023
Objective: The objective is to develop a predictive model utilizing Support Vector Machines (SVM) for the purpose of classifying clinical stage breast cancer.
Language: Английский
Published: Aug. 25, 2023
Objective: The objective is to develop a predictive model utilizing Support Vector Machines (SVM) for the purpose of classifying clinical stage breast cancer.
Language: Английский
Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 96 - 106
Published: Jan. 1, 2025
Language: Английский
Citations
0Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 169 - 180
Published: Jan. 1, 2025
Language: Английский
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0Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 32 - 41
Published: Jan. 1, 2025
Language: Английский
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0Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 42 - 53
Published: Jan. 1, 2025
Language: Английский
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0Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 191 - 201
Published: Jan. 1, 2025
Language: Английский
Citations
02022 9th International Conference on Computing for Sustainable Global Development (INDIACom), Journal Year: 2024, Volume and Issue: unknown, P. 1171 - 1176
Published: Feb. 28, 2024
Breast cancer is a lethal disease. Cancer occurs because of the unwanted growth cells. Globally breast (BC) increasing rapidly. BC most widespread tumor and among foremost reason cancer-related deaths in females. More alarming that it being increasingly diagnosed at younger age India compared to west. Restrictions existing imaging modalities aggravated researchers design new methods for early detection. New artificial intelligence techniques machine learning models with radiomics revolutionize medical field are becoming accepted assistive tools diagnosis prognosis BC. These have been giving admirable results superior efficiency healthcare industry applications over past decade. This paper gives detailed insight workflow radiomics, role Artificial (AI), Machine (ML), Deep (DL) treatment Various ML used detection discussed.
Language: Английский
Citations
2Insights into Imaging, Journal Year: 2024, Volume and Issue: 15(1)
Published: Sept. 19, 2024
Language: Английский
Citations
2European Radiology, Journal Year: 2023, Volume and Issue: 34(2), P. 914 - 916
Published: Sept. 4, 2023
Language: Английский
Citations
4Arab Gulf Journal of Scientific Research, Journal Year: 2023, Volume and Issue: 42(4), P. 1530 - 1554
Published: Dec. 16, 2023
Purpose This study specifically seeks to investigate the strategic implementation of machine learning (ML) algorithms and techniques in healthcare institutions enhance innovation management settings. Design/methodology/approach The papers from 2011 2021 were considered following Preferred Reporting Items for Systematic Reviews Meta-Analyses guidelines. First, relevant keywords identified, screening was performed. Bibliometric analysis One hundred twenty-three documents that passed eligibility criteria finalized. Findings Overall, annual scientific production section results reveal ML sector is growing significantly. Performing bibliometric has helped find unexplored areas; understand trend publication; categorize topics based on emerging, trending essential. paper discovers influential authors, sources, countries keywords. Research limitations/implications helps various applications institutions, such as use Internet Things healthcare, prediction disease, finding seriousness a case, natural language processing, speech language-based classification, etc. would help future researchers developers target areas are likely grow coming future. Practical implications highlights potential medical support within institutions. It suggests regression particularly promising this purpose. Hospital can leverage time series estimate number incoming patients, thus increasing hospital availability optimizing resource allocation. been instrumental development these systems. By embracing telemedicine remote monitoring, facilitate creation online patient surveillance monitoring systems, allowing early intervention ultimately improving efficiency effectiveness services. Originality/value offering comprehensive panorama ML's integration underscores pivotal role healthcare. findings contribute holistic understanding emphasize their transform optimize delivery.
Language: Английский
Citations
4Breast Cancer Research and Treatment, Journal Year: 2024, Volume and Issue: unknown
Published: July 13, 2024
Language: Английский
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