Performance assessment of hybrid machine learning approaches for breast cancer and recurrence prediction

A Pati, A Panigrahi, M Parhi, J Giri, H Qin, S Mallik… - Plos one, 2024 - journals.plos.org
Breast cancer is a major health concern for women everywhere and a major killer of women.
Malignant tumors may be distinguished from benign ones, allowing for early diagnosis of …

Ensemble Classification Model With CFS‐IGWO–Based Feature Selection for Cancer Detection Using Microarray Data

P Panda, SK Bisoy, S Kautish, R Ahmad… - … of Telemedicine and …, 2024 - Wiley Online Library
Cancer is the top cause of death worldwide, and machine learning (ML) has made an
indelible mark on the field of early cancer detection, thereby lowering the death toll. ML …

[PDF][PDF] A fog-enabled framework for ensemble machine learning-based real-time heart patient diagnosis

MS Atoum, A Pati, M Parhi, BK Pattanayak… - International Journal …, 2023 - researchgate.net
Accurately forecasting human diseases continues to be a challenging issue in the search for
better and more crucial studies. Heart disease is a potentially deadly condition that affects …

Enhancing disease classification in abdominal CT scans through RGB superposition methods and 2D convolutional neural networks: A study of appendicitis and …

GP Lee, SH Park, YJ Kim, JW Chung… - … Methods in Medicine, 2023 - Wiley Online Library
The primary symptom of both appendicitis and diverticulitis is a pain in the right lower
abdomen; it is almost impossible to diagnose these conditions through symptoms alone …

[HTML][HTML] Predicting Breast Cancer Relapse from Histopathological Images with Ensemble Machine Learning Models

G Sahoo, AK Nayak, PK Tripathy, A Panigrahi, A Pati… - Current …, 2024 - mdpi.com
Relapse and metastasis occur in 30–40% of breast cancer patients, even after targeted
treatments like trastuzumab for HER2-positive breast cancer. Accurate individual prognosis …

[PDF][PDF] A novel machine learning based hybrid approach for breast cancer relapse prediction

G Sahoo, AK Nayak, PK Tripathy… - Indonesian Journal of …, 2023 - researchgate.net
The second leading cause of death for women is breast cancer, which is growing. Some
cancer cells may remain in the body, so relapse is possible even if treatment begins soon …

Enhanced Breast Cancer Relapse Prediction using Ensemble Learning Techniques

MK Tripathi, M Ananya, V Murthy… - 2024 4th …, 2024 - ieeexplore.ieee.org
Breast cancer remains a significant health concern for women, and accurate prediction of
recurrence is vital for effective treatment and improved outcomes. This research investigates …

Pioneering Pediatric Health-Machine Learning Ensembles for Appendicitis Detection

T Vimal, JMA Ganesh, SY Kumar… - 2024 15th …, 2024 - ieeexplore.ieee.org
Children's appendicitis is often diagnosed using outdated techniques that may not be as
quick or accurate as they need to be. The present investigation employs sophisticated …

[PDF][PDF] Breast cancer relapse disease prediction improvements with ensemble learning approaches

G Sahoo, AK Nayak, PK Tripathy, A Pati… - Indonesian Journal of …, 2024 - researchgate.net
Diagnosis and prognosis are especially difficult areas of medical research related to cancer
due to the high incidence of breast cancer, which has surpassed all other cancers in terms of …

Enhanced Seizure Detection through a Robust Denoising Autoencoder with Attention Mechanism

IS Samanta, S Pattanaik, K Swain, A Pati… - 2024 Second …, 2024 - ieeexplore.ieee.org
Abnormal brain activity is a frequent neurological disease known as epileptic seizures. The
application of machine learning to automate seizure detection has made promising strides in …