Supervised Learning in Diagnosis, Prognosis, and Identification of Subtypes of Cancer

R Solanki, FJ Ahmad, B Alankar… - 2022 5th International …, 2022 - ieeexplore.ieee.org
Cancer was among the first three in the list of leading causes of death worldwide in the year
2020 according to World Health Organization (WHO). Though cancer is one of the major …

A systematic approach to machine learning for cancer classification

G Kaur, C Prabha, D Chhabra, N Kaur… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
Cancer is a lethal disease that is frequently brought on by the accumulation of hereditary
disorders and many pathological alterations. Cancerous cells are aberrant, life-threatening …

[PDF][PDF] Reviewing the Utilization of Machine Learning Techniques in Cancer Classification with Gene Expression Data: An Analysis

NR Choudhury, AK Chaudhuri, S Ghosh, S Paul - researchgate.net
Even after all these years, it seems that cancer still casts this long shadow over every aspect
of public health and the number of its victims keeps increasing making cancer the second …

A Comparative Study of Gene Expression Data-Based Intelligent Methods for Cancer Subtype Detection

R Jayakrishnan, S Sridevi - IOT with Smart Systems: Proceedings of ICTIS …, 2022 - Springer
Cancer is one of the major causes of human death. Hence, diagnosis and treatment of
cancer are considered as essential tasks. The targeted treatment of cancer disease varies …

Cancer Classification Using Gene Expression Data

P Sonsare, A Mujumdar, P Joshi, N Morayya… - … Conference on Smart …, 2024 - Springer
Cancer poses a significant global health challenge, necessitating personalized therapeutic
approaches. Genomic prediction, utilizing large-scale genomic data, has emerged as a …

A survey on cancer molecular subtype classification using deep learning

M Wahid, G Ahmed, S Hussain… - 2023 4th International …, 2023 - ieeexplore.ieee.org
Deep learning (DL) is a sub-field of artificial intelligence that mimics the human brain
through computation. It has proven its proficiency in different domains, including healthcare …

A combined Feature extraction technique for cancer classification based on deep learning approach

S Mishra, M Bhattacharya - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Extraction from large no. of features (genes signatures) are the major issues in the prediction
of cancer and its specific type identification using microarray datasets. Even though most …

Inferential Survey on oncology information systems using predictive analytics

K Naik, B Garg - Available at SSRN 4752572, 2024 - papers.ssrn.com
Cancer is one of the deadliest diseases diagnosed among the population across the globe.
The number of cases is increasing each year so are the different diagnostic tools and …

A review on recent progress in machine learning and deep learning methods for cancer classification on gene expression data

AU Mazlan, NA Sahabudin, MA Remli, NSN Ismail… - Processes, 2021 - mdpi.com
Data-driven model with predictive ability are important to be used in medical and healthcare.
However, the most challenging task in predictive modeling is to construct a prediction model …

Classification of Cancer Gene Variants Stages using Ensemble and Deep Learning Approaches

R Rajasekar - 2023 - norma.ncirl.ie
The advancement of technology and its integration with healthcare have had a positive
impact on the world. Among several diseases, Cancer has had a significant impact on …