Revolutionizing breast cancer diagnosis with a comprehensive approach using digital mammogram-based feature extraction and selection for early-stage …
Y Thangavel, H Garg, M Alagarsamy… - … Signal Processing and …, 2024 - Elsevier
Cancer of the breasts is a prevalent and possibly fatal disease that causes abnormal
development of cells in breast tissue. It is the most prevalent tumor in women globally, and it …
development of cells in breast tissue. It is the most prevalent tumor in women globally, and it …
Optimization using internet of agent based stacked sparse autoencoder model for heart disease prediction
V Baviskar, M Verma, P Chatterjee, G Singal… - Expert …, 2023 - Wiley Online Library
Recently, machine learning methods have been successfully used for the prediction of
cardiovascular disease. Early diagnosis and prediction is necessary for giving effective …
cardiovascular disease. Early diagnosis and prediction is necessary for giving effective …
[PDF][PDF] Classification model for prediction of heart disease using correlation coefficient technique
S Moturi, DS Srikanth Vemuru - International Journal, 2020 - researchgate.net
Today health care services have come up with an advanced way to treat patients having
different diseases. Among all, one of the harmful diseases is the cardiovascular disease that …
different diseases. Among all, one of the harmful diseases is the cardiovascular disease that …
Brain tumour detection using cnn
SL Jagannadham, KL Nadh… - … on I-SMAC (IoT in Social …, 2021 - ieeexplore.ieee.org
The perilous disease in world nowadays is brain tumor. Tumor will occur when the healthy
tissues are damaged and affects the brain. Tumor is the unlimited growth of bizarre cells in …
tissues are damaged and affects the brain. Tumor is the unlimited growth of bizarre cells in …
Breast cancer prediction using greedy optimization and enlarge C4. 5
Abstract Detecting Breast Cancer in the early step is significant to minimize the death rate by
enhancing the available treatments. As there exists no definitive treatment for Breast Cancer …
enhancing the available treatments. As there exists no definitive treatment for Breast Cancer …
Two phase parallel framework for weighted coalesce rule mining: a fast heart disease and breast cancer prediction paradigm
Recently, there is an immense increase in the mortality rate of humans due to dangerous
diseases, which is becoming a greater issue across the globe. The only solution to this issue …
diseases, which is becoming a greater issue across the globe. The only solution to this issue …
Review on breast cancer disease predictive modelling using swarm intelligence
M Kumar, SK Khatri… - 2020 International …, 2020 - ieeexplore.ieee.org
Breast Cancer (BC) is one among the most critical diseases affecting women across the
world mostly between the ages 35-55 and is growing every year in a capricious rate. By …
world mostly between the ages 35-55 and is growing every year in a capricious rate. By …
Breast Cancer Prediction using Deep Learning Techniques
A Allada, GRK Rao, P Chitturi, H Chindu… - … and Smart Systems …, 2021 - ieeexplore.ieee.org
Breast cancer is one of the fundamental drivers for the disease spread across the globe.
Early diagnostics builds the odds of right treatment and endurance, however this cycle is …
Early diagnostics builds the odds of right treatment and endurance, however this cycle is …
Performance evaluation of machine learning algorithms to predict breast cancer
SS Sunayna, SNT Rao, M Sireesha - Computational Intelligence in Data …, 2022 - Springer
Breast cancer is increasing in all over the world year by year [,], and it is a dominant cancer
in the worldwide. Due to the lack of medical facilities, these cases are not early diagnosed …
in the worldwide. Due to the lack of medical facilities, these cases are not early diagnosed …
Machine Learning Models for Chronic Renal Disease Prediction
SK Mamidala, S Moturi, SNT Rao, JV Bolla… - … Conference on Data …, 2023 - Springer
Chronic renal disease (CRD) has grown into a prominent concern. A person suffering from
chronic renal disease does not have enough kidney functionality, which might be fatal as a …
chronic renal disease does not have enough kidney functionality, which might be fatal as a …