Data mining approach to detect heart diseases

DV Chaurasia, S Pal - … Journal of Advanced Computer Science and …, 2014 - papers.ssrn.com
Globally, heart diseases are the number one cause of death. About 80% of deaths occurred
in low-and middle income countries. If current trends are allowed to continue, by 2030 an …

[PDF][PDF] A critical comparative study of liver patients from USA and INDIA: an exploratory analysis

BV Ramana, MSP Babu, NB Venkateswarlu - International Journal of …, 2012 - Citeseer
Recent research studies on liver diagnosis indicated difference in classification accuracy of
various classifiers with different data sets. K-Nearest Neighbor classifier is observed to be …

Data mining techniques for optimization of liver disease classification

SNN Alfisahrin, T Mantoro - 2013 International Conference on …, 2013 - ieeexplore.ieee.org
Patients with liver disease continue to increase and the symptoms of the disease is difficult
to detect. Therefore many people suffer from liver damage but they feel healthy, it causes …

Classification of liver disease diagnosis: A comparative study

S Bahramirad, A Mustapha… - … on Informatics & …, 2013 - ieeexplore.ieee.org
Medical Data Mining (MDM) is one of the most critical aspects of automated disease
diagnosis and disease prediction. MDM involves developing data mining algorithms and …

Performance comparison of classification algorithms on medical datasets

BV Ramana, RSK Boddu - 2019 IEEE 9th Annual computing …, 2019 - ieeexplore.ieee.org
This paper studies selected classification algorithms on medical datasets. The selected
health datasets are Breast Cancer Data, Chronic Kidney Disease, Cryotherapy, Hepatitis …

Machine learning algorithms for binary classification of liver disease

A Sokoliuk, G Kondratenko, I Sidenko… - … on Problems of …, 2020 - ieeexplore.ieee.org
The number of patients with liver diseases has been continuously increasing because of
excessive consumption of alcohol, inhale of harmful gases, intake of contaminated food …

[PDF][PDF] Integrating Naive Bayes and K-means clustering with different initial centroid selection methods in the diagnosis of heart disease patients

M Shouman, T Turner, R Stocker - CS & IT-CSCP, 2012 - Citeseer
Heart disease is the leading cause of death in the world over the past 10 years. Researchers
have been using several data mining techniques to help health care professionals in the …

[PDF][PDF] Diagnosis of breast cancer using intelligent techniques

HS Hota - International Journal of Emerging Science and …, 2013 - Citeseer
Breast cancer is a serious and life threatening disease due to its invasive and infiltrative
character and is very commonly found in woman. An abnormal growth of cells in breast is …

A fact-based liver disease prediction by enforcing machine learning algorithms

MK Ram, C Sujana, R Srinivas, GSN Murthy - Computational Vision and …, 2021 - Springer
Health is prominent in mortal cheerfulness and financial progress across the world. Being
healthy and active is also very important to the human lifestyle. Numerous major problems …

[PDF][PDF] Identification of breast cancer using ensemble of support vector machine and decision tree with reduced feature subset

HS Hota - International Journal of Innovative Technology and …, 2014 - Citeseer
Breast cancer is very common disease found in woman in which breast masses are
increases abnormally. A recent survey in united kingdom proved that breast cancer is not …