A comprehensive review on electrochemical nano biosensors for precise detection of blood-based oncomarkers in breast cancer

M Sadeghi, S Sadeghi, SM Naghib, HR Garshasbi - Biosensors, 2023 - mdpi.com
Breast cancer (BC), one of the most common and life-threatening cancers, has the highest
incidence rate among women. Early diagnosis of BC oncomarkers is considered the most …

Machine learning based intelligent system for breast cancer prediction (MLISBCP)

AK Das, SK Biswas, A Mandal, A Bhattacharya… - Expert Systems with …, 2024 - Elsevier
Risks of death from Breast Cancer (BC) are drastically rising in recent years. The diagnosis
of breast cancer is time-consuming due to the limited availability of diagnostic systems such …

Performance Comparison of Different Machine Learning Techniques for Early Prediction of Breast Cancer using Wisconsin Breast Cancer Dataset

A Rovshenov, S Peker - 2022 3rd International Informatics and …, 2022 - ieeexplore.ieee.org
A significant health issue, cancer is becoming more prevalent globally and is a leading
cause of mortality. Recent studies have shown that breast cancer is one of the most …

Cost-sensitive neural network: A grey wolf optimizer-based approach for breast cancer prediction

SAA Edsa, K Sunat, H Guo - Expert Systems with Applications, 2024 - Elsevier
Developing early breast cancer detection systems presents challenges, including long
processing times, extensive data preprocessing, and handling imbalanced datasets. Class …

Hetero cyclic compounds in the treatment of triple-negative breast cancer

SK Mandal, A Das, A Bose, V Dwibedi… - Current Cancer …, 2023 - benthamdirect.com
Triple-negative breast cancer (TNBC) holds just about 15% of all breast tumours and
subtypes of breast cancer with distinct characteristics of negative expressions for the …

[PDF][PDF] An expert system for breast cancer prediction (ESBCP) using decision tree

AK Das, SK Biswas, A Mandal - Indian J Sci Technol, 2022 - academia.edu
Objectives: Breast cancer is one of the major concerns in present day scenario. Detecting
breast cancer at early stage increases the chances of survival. The objective of this research …

Harnessing Vision Transformers for Precise and Explainable Breast Cancer Diagnosis

HM Balaha, KM Ali, D Gondim, M Ghazal… - … Conference on Pattern …, 2025 - Springer
Breast cancer (BC) remains a significant global health challenge, impacting millions of lives
annually. Traditional histopathological analysis, while essential, can be subjective and time …

A Comparative Study For Breast Cancer Prediction Methods Using Deep Learning Technique

K Punithavathi, G Yamuna - 2023 12th International …, 2023 - ieeexplore.ieee.org
Mammography is common most dominant imaging techniques helps todetect and diagnose
the breast cancer. A computer-aided automatic classifier using machine learning techniques …

Building Health Awareness: Analysis of the Relationship between Knowledge and Attitude with BSE Behavior in Public Health Science Students

MC Sirait, P Ratti - Journal of Health Innovation and Environmental …, 2024 - cahaya-ic.com
Purpose of the study: The purpose of this study was to determine the relationship between
knowledge and attitudes with BSE behavior in students of the Public Health Study Program …

SURVEILLANCE OF BLOOD CHEMISTRY IN BREAST CANCER PATIENTS BELONGING TO PUNJAB, PAKISTAN

A Khalid, A Qadir, NA Abbasi, N Jamil… - Pakistan Journal of …, 2023 - pjosr.com
Cancer is known to be second largest killer worldwide. In various types of cancer, the
incidence rate of breast cancer has increased steadily in women. Any abnormality especially …