[PDF][PDF] An optimal model for classification of lung cancer using grey wolf optimizer and deep hybrid learning

R Mothkur, VB Nagendrappa - Indonesian Journal of Electrical …, 2023 - academia.edu
In recent years, metaheuristic methods have shown major advantages in the field of feature
selection due to its comprehensibility and possible extensive search competence. However …

[PDF][PDF] An extensible framework for recurrent breast cancer prognosis using deep learning techniques

RS Shankar, RS Chigurupati, P Voosala… - Indonesian Journal of …, 2023 - academia.edu
Due to population growth, early illness detection is getting more challenging. Breast cancer
is the second-deadliest malignancy. An estimated one million people are newly diagnosed …

[PDF][PDF] Comparative analysis and feature importance of machine learning and deep learning for heart disease prediction

P Gupta, D Seth - Indonesian Journal of Electrical Engineering and …, 2022 - academia.edu
Cardiovascular disease (CVD) or heart disease is one of the main reasons for early death,
even at young age and that too often sudden. If it is detected more accurately, much before it …

[PDF][PDF] Validation on selected breast cancer drugs of physicochemical features by using machine learning models

VMNSS Venkata, KR Gupta… - … Journal of Public …, 2024 - pdfs.semanticscholar.org
Breast cancer is one of the leading causes of death among females today. The elbow
approach determines the ideal number of clusters after determining that the Dataset is highly …

[PDF][PDF] Comparison of various data mining methods for early diagnosis of human cardiology

AM Shanshool, EMH Saeed… - … International Journal of …, 2023 - researchgate.net
Recent healthcare reports indicate clearly an increasing mortality rates worldwide which
puts a significant burden on the healthcare sector due to different diseases. Coronary artery …

[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 …

[PDF][PDF] Clustering performance using k-modes with modified entropy measure for breast cancer

NM Mahfuz, H Suhartanto, K Kusmardi… - Indonesian Journal of …, 2023 - academia.edu
Breast cancer is a serious disease that requires data analysis for diagnosis and treatment.
Clustering is a data mining technique that is often used in breast cancer research to assess …

[PDF][PDF] Enhancing lung cancer disease diagnosis by employing ensemble deep learning approaches

MN Das, N Panda, R Rautray - Indonesian Journal of Electrical …, 2023 - academia.edu
Cancer is a disease that results from the unnatural proliferation of aberrant cells that infest
the body's healthy cells and spread throughout the body. Lung cancer is characterized by an …