ItemConference Paper

A Computing Assisted Test Method in Healthcare Industry Using Artificial Intelligence

Title
A Computing Assisted Test Method in Healthcare Industry Using Artificial Intelligence
Creator
Karthick, K.K.; Ganesan, V.; Sivakumar, R.; Sivaraman, M.; Natarajan, Arul Kumar; Shahina, A. Srimathi
Description
New and improved methods of diagnosis are needed because breast cancer is still the leading cancer-related killer worldwide. Updates to the methods used to categorize breast cancer have emerged because of recent advances in DL and ML. This research goal in conducting this research is to bring together existing breast cancer diagnostic and classification methods that make use of deep learning and machine learning techniques. Early detection and accurate prediction of breast cancer are crucial for improving outcomes and reducing the impact of this disease. The creation of prediction models and tools to assess risk has become an important field of research as it can assist healthcare workers in identifying individuals who are more likely to acquire breast cancer and adapting screening and preventative programs accordingly. This introduction provides an overview of breast cancer prediction, highlighting the importance of the topic and the motivation behind predictive models. It sets the stage for a more in-depth exploration of the subject and the various technologies, methods and factors involved in breast cancer prediction. 2025 IEEE.
Source
Proceedings - 1st International Conference on Frontier Technologies and Solutions, ICFTS 2025;
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Algorithms; Analysis; Breast Cancer; Data; Machine Learning
Coverage
Karthick K.K., Saveetha Engineering College, Tamilnadu, Chennai, India; Ganesan V., Dr.G.R.Damodaran College of Science, Tamilnadu, Coimbatore, India; Sivakumar R., Christ (Deemed to be University, Karnataka, Bengaluru, India; Sivaraman M., Dr. Sns Rajalakshmi College of Arts and Science, Tamilnadu, Coimbatore, India; Natarajan A.K., University of Technology and Applied Sciences (UTAS), Oman; Shahina A.S., Dr.G.R.Damodaran College of Science, Tamilnadu, Coimbatore, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833150276-8;
Format
online
Language
English
Type
Conference paper

Citation

Karthick, K.K.; Ganesan, V.; Sivakumar, R.; Sivaraman, M.; Natarajan, Arul Kumar; Shahina, A. Srimathi, “A Computing Assisted Test Method in Healthcare Industry Using Artificial Intelligence,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/26007.

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