Breast Cancer Survival Prediction using Gene Expression Data
- Title
- Breast Cancer Survival Prediction using Gene Expression Data
- Creator
- Sebastian A.; Jacob L.
- Description
- Breast cancer is one of the most common forms of cancer in the world.[1]. Breast, skin, colon, pancreatic, and other 100 types of cancer have founded globally. An accurate breast cancer prognosis can save many patients from having unnecessary treatment and the huge medical costs that come with it. Multiple gene mutations can possibly transform a normal cell into a cancerous one. Genomic variations and traits have a significant effect on cancer. Genetic abnormalities caused by various circumstances drive numerous efforts to find biomarkers of breast cancer advancement. Early Detection of Cancer types is the only way to recover the patients from this acute disease. In this paper, a proposed Deep learning algorithm and Machine learning algorithms are used to predict the survival of cancer patients using clinical data and gene expression data. The Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) dataset is split into clinical and gene data for detailed preprocessing. This proposed method gives a better understanding of the condition and assesses how effective treatment methods are by using Deep Learning and Machine Learning models on gene data. Logistic Regression is the most accurate method identified. Grenze Scientific Society, 2022.
- Source
- 13th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2022, Vol-8, pp. 352-359.
- Date
- 2022-01-01
- Publisher
- Grenze Scientific Society
- Subject
- Breast cancer; Deep Learning; Dimensionality Reduction; Gene Expression; Machine Learning
- Coverage
- Sebastian A., Christ University, Pune Lavasa Campus, Maharashtra, India; Jacob L., Christ University, Pune Lavasa Campus, Maharashtra, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-171385793-8
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Sebastian A.; Jacob L., “Breast Cancer Survival Prediction using Gene Expression Data,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/20216.