FedCSCD-GAN: A secure and collaborative framework for clinical cancer diagnosis via optimized federated learning and GAN
Digital technologies present unrivaled opportunities to improve healthcare services
worldwide. Medical devices and hospitals are now using innovative techniques to diagnose …
worldwide. Medical devices and hospitals are now using innovative techniques to diagnose …
RN-Autoencoder: Reduced Noise Autoencoder for classifying imbalanced cancer genomic data
Background In the current genomic era, gene expression datasets have become one of the
main tools utilized in cancer classification. Both curse of dimensionality and class imbalance …
main tools utilized in cancer classification. Both curse of dimensionality and class imbalance …
Application of machine learning algorithm on migration error for the identification of selective letter position impairment in children
This work presents effective prediction of Letter Position impairments on a sample dataset of
230 children. These students are in primary school grade in a school of West Bengal whose …
230 children. These students are in primary school grade in a school of West Bengal whose …
Efficient Diagnoses of Breast Cancer Disease Using Deep Learning Technique
According to WHO 2023 survey, each year more than 2.3 million breast cancer cases are
reported. Breast cancer is the either first or second biggest disease in females that is the …
reported. Breast cancer is the either first or second biggest disease in females that is the …
Classification of Benign and Malignant Breast Tumor Based on Machine Learning and Feature Selection Algorithms
This paper proposes a model that uses various machine learning classifiers and feature
selection techniques to accurately predict breast cancer. The proposed model consists of …
selection techniques to accurately predict breast cancer. The proposed model consists of …
Learning and Feature Selection
EI Abd El-Latif, A Drawish… - Artificial Intelligence for …, 2024 - books.google.com
This paper proposes a model that uses various machine learning classifiers and feature
selection techniques to accurately predict breast cancer. The proposed model consists of …
selection techniques to accurately predict breast cancer. The proposed model consists of …
Accurate AI-Based Chatbot to Diagnose Heart Diseases Pre-Human Doctor Consultation.
BA Majeed, AY Hardan, BY Hardan… - Revue d'Intelligence …, 2024 - search.ebscohost.com
Early diagnosis of heart disorders is an essential issue since they might be life-threatening
conditions that call for urgent medical care. Chatbots as a user-friendly technology can be …
conditions that call for urgent medical care. Chatbots as a user-friendly technology can be …
Smart IoT_Cloud-Based ML Technique to Classify Breast Cancer
IoT and cloud computing have a significant impact on healthcare services, particularly when
it comes to disease prediction in smart cities. Big data about breast cancer (BC) can be sent …
it comes to disease prediction in smart cities. Big data about breast cancer (BC) can be sent …
Genetic Algorithm and Random Forest Classifier Fusion: A Cutting-Edge Approach for Breast Cancer Diagnosis
Breast cancer was a significant cause of mortality in women worldwide, highlighting the
importance of early detection in improving patient survival rates. Although machine learning …
importance of early detection in improving patient survival rates. Although machine learning …