Supervised Predictive and Federated Learning for Integrative Analysis of Medical Data
RB Eshun - 2024 - search.proquest.com
Modern biomedical technologies have resulted in many diverse collections of images,
genomic data and patient information that provide unique and complementary views of …
genomic data and patient information that provide unique and complementary views of …
Identification of significantly expressed gene mutations for automated classification of benign and malignant prostate cancer
RB Eshun, AKMK Islam… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
Among males, prostate cancer (Pca) is the cancer type with the highest prevalence and the
second leading cause of cancer deaths. The current screening methods for prostate cancer …
second leading cause of cancer deaths. The current screening methods for prostate cancer …
RNA Sequences-Based Diagnosis of Parkinson's Disease Using Various Feature Selection Methods and Machine Learning
Parkinson's disease is a neurodegenerative disease that is associated with genetic and
environmental factors. However, the genes causing this degeneration have not been …
environmental factors. However, the genes causing this degeneration have not been …
A Machine Learning Predictive Model to Classify Severity of Breast Cancer Based on Mammographic Mass Dataset
Mammography which is recognized as a both a diagnostic and screening tool, is an x-ray
imaging method used to examine the breast for the early detection of cancer and other …
imaging method used to examine the breast for the early detection of cancer and other …
Prediction and Analysis of Key Genes in Prostate Cancer via MRMR Enhanced Similarity Preserving Criteria and Pathway Enrichment Methods
Informative gene discovery has grown in interest in the field of biomedical research with the
advent of high throughput technologies. The filter based methods including the similarity …
advent of high throughput technologies. The filter based methods including the similarity …
A Swarm Intelligence Optimization for Lung Cancer Detection from RNA-Seq Gene Expression Data Using Convolutional Neural Networks
J Refonaa, SLJ Shabu, S Mallik… - Swarm Optimization …, 2025 - taylorfrancis.com
The two most frequent lung cancers, adenocarcinoma and squamous cell carcinoma, need
different screening methods. The expression of genes analysis, CT scans, and specialized …
different screening methods. The expression of genes analysis, CT scans, and specialized …
Using Transcriptomic Data to Predict Biomarkers for Subty** of Lung Cancer
R Daran - 2021 - diva-portal.org
Lung cancer is one the most dangerous types of all cancer. Several studies have explored
the use of machine learning methods to predict and diagnose this cancer. This study …
the use of machine learning methods to predict and diagnose this cancer. This study …