Performance assessment of hybrid machine learning approaches for breast cancer and recurrence prediction
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 …
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 …
indelible mark on the field of early cancer detection, thereby lowering the death toll. ML …
Weighted Bayesian Belief Network for diabetics: a predictive model
Diabetes is an enduring metabolic condition identified by heightened blood sugar levels
stemming from insufficient production of insulin or ineffective utilization of insulin within the …
stemming from insufficient production of insulin or ineffective utilization of insulin within the …
[HTML][HTML] Predicting Breast Cancer Relapse from Histopathological Images with Ensemble Machine Learning Models
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 …
treatments like trastuzumab for HER2-positive breast cancer. Accurate individual prognosis …
Innovative approach towards early prediction of ovarian cancer: Machine learning-enabled XAI techniques
SL JM, P Subbulakshmi - Heliyon, 2024 - cell.com
Globally, ovarian cancer affects women disproportionately, causing significant morbidity and
mortality rates. The early diagnosis of ovarian cancer is necessary for enhancing patient …
mortality rates. The early diagnosis of ovarian cancer is necessary for enhancing patient …
An Interval Type-2 Fuzzy Logic Approach for Dynamic Parameter Adaptation in a Whale Optimization Algorithm Applied to Mathematical Functions
L Amador-Angulo, O Castillo - Axioms, 2023 - mdpi.com
In this paper, an improved whale optimization algorithm (WOA) based on the utilization of an
interval type-2 fuzzy logic system (IT2FLS) is presented. The main idea is to present a …
interval type-2 fuzzy logic system (IT2FLS) is presented. The main idea is to present a …
[PDF][PDF] A Novel Optimized Colonic adenocarcinoma Detection using Deep Transfer Learning Approach with XceptionTS Model
S Dash - J. Electrical Systems, 2024 - pdfs.semanticscholar.org
Colonic adenocarcinoma is a major contributor to global mortality, highlighting the crucial
need for efficient detection and classification techniques. This research presents a new …
need for efficient detection and classification techniques. This research presents a new …
[PDF][PDF] REVOLUTIONIZING FEATURE ENGINEERING FOR ROBUST ENSEMBLE MACHINE LEARNING BY HYBRIDIZING MRMR INSIGHT AND CHI2 …
In the realm of data science, dealing with real-world datasets often presents a formidable
challenge, primarily due to the sheer volume of features that significantly lack relevance or …
challenge, primarily due to the sheer volume of features that significantly lack relevance or …
Entrepreneurial Innovation Mediation among Marketing Strategies and Business Sustainability in Ethiopia
J Wata, F DejeneYadete, M Adula… - International Journal of …, 2023 - journal.adpebi.com
Present study was conducted to examine the predicators of marketing strategies on the
organizational performance with mediation of entrepreneurship innovation in Sustainable …
organizational performance with mediation of entrepreneurship innovation in Sustainable …
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 …
recurrence is vital for effective treatment and improved outcomes. This research investigates …