[HTML][HTML] A hybrid model for post-treatment mortality rate classification of patients with breast cancer

SO Folorunso, JB Awotunde, AA Adigun, LVN Prasad… - Healthcare …, 2023 - Elsevier
Terminal cancer is not curable and eventually results in death. Breast cancer (BC) is a
prevalent malignancy affecting women. Although there are prognostic indicators, BC …

Intelligent Breast Mass Classification Approach Using Archimedes Optimization Algorithm with Deep Learning on Digital Mammograms

M Basheri - Biomimetics, 2023 - mdpi.com
Breast cancer (BC) has affected many women around the world. To accomplish the
classification and detection of BC, several computer-aided diagnosis (CAD) systems have …

Breast Cancer Classification Based on DNA Microarray Analysis

SA El-Rahman, ASD Alluhaidan, R Marzouk - IEEE Access, 2023 - ieeexplore.ieee.org
Objective: Predicting the ability of a breast cancer patient to survive was a difficult research
problem for many scholars. Since the early dates of the relevant research, significant …

Machine Learning-Based Big Data Analytics for IoT-Enabled Smart Healthcare Systems

KCP Shankar, K Deeba, AK Tyagi - AI-Based Digital Health …, 2023 - igi-global.com
Abstract Machine learning (ML) and big data analytics (BDA) have emerged as powerful
technologies for extracting valuable information from the large amount of data generated by …

Internet of Things for Smart Healthcare: A Survey

AK Tyagi, S Kumari, S Tiwari - Future of AI in Medical Imaging, 2024 - igi-global.com
Internet of things (IoT) has emerged as a transformative technology in the healthcare sector,
providing innovative solutions to enhance patient care, improve healthcare delivery, and …

[PDF][PDF] An Improved Fully Automated Breast Cancer Detection and Classification System.

T Shawly, AA Alsheikhy - Computers, Materials & Continua, 2023 - researchgate.net
More than 500,000 patients are diagnosed with breast cancer annually. Authorities
worldwide reported a death rate of 11.6% in 2018. Breast tumors are considered a fatal …

Emerging, Assistive, and Digital Technology in Telemedicine Systems

S Kumari, AK Tyagi, AK Sharma - Future of AI in Medical Imaging, 2024 - igi-global.com
In the recent decade, emerging, assistive, and digital technologies have revolutionized the
field of telemedicine, enabling remote healthcare delivery, improving patient outcomes, and …

Cervical Cancer Detection Using Big Data Analytics and Their Comparative Analysis

V Lakshmi Narasimhan… - Privacy Preservation of …, 2023 - Wiley Online Library
The detection of cervix‐based cancer cells relies heavily on artificial neural networks
(ANNs). It is a huge challenge to detect cervical cancer because this cancer occurs with little …

Systemic Lupus Erythematosus (SLE) Detection Using Deep Learning

MO Adebiyi, O Destiny, D Olaniyan… - … and Business for …, 2024 - ieeexplore.ieee.org
Systemic lupus erythematosus (SLE) is a chronic autoimmune disease with diverse clinical
manifestations, making early diagnosis challenging. This study investigates the efficacy of …