Application of K-means and genetic algorithms for dimension reduction by integrating SVM for diabetes diagnosis
T Santhanam, MS Padmavathi - Procedia Computer Science, 2015 - Elsevier
Vast amount of data available in health care industry is difficult to handle, hence mining is
necessary to find the necessary pattern and relationship among the features available …
necessary to find the necessary pattern and relationship among the features available …
Enhancing the weighted voting ensemble algorithm for tuberculosis predictive diagnosis
VC Osamor, AF Okezie - Scientific Reports, 2021 - nature.com
Tuberculosis has the most considerable death rate among diseases caused by a single
micro-organism type. The disease is a significant issue for most third-world countries due to …
micro-organism type. The disease is a significant issue for most third-world countries due to …
A belief rule based expert system to assess tuberculosis under uncertainty
The primary diagnosis of Tuberculosis (TB) is usually carried out by looking at the various
signs and symptoms of a patient. However, these signs and symptoms cannot be measured …
signs and symptoms of a patient. However, these signs and symptoms cannot be measured …
Stochastic learning-based artificial neural network model for an automatic tuberculosis detection system using chest x-ray images
S Urooj, S Suchitra, L Krishnasamy, N Sharma… - IEEE …, 2022 - ieeexplore.ieee.org
Tuberculosis (TB) is still one of the most serious health issues today with a high fatality rate.
While attempts are being made to make primary diagnosis more reliable and accessible in …
While attempts are being made to make primary diagnosis more reliable and accessible in …
An optimized integrated framework of big data analytics managing security and privacy in healthcare data
Big data analytics has anonymously changed the overall global scenario to discover
knowledge trends for future decision making. In general, potential area of big data …
knowledge trends for future decision making. In general, potential area of big data …
Applicability of classifier to discovery knowledge for future prediction modelling
The immense growth of new technological interventions has forced researchers and
scientists around the globe to adopt the widely anticipated technology of Machine Learning …
scientists around the globe to adopt the widely anticipated technology of Machine Learning …
[PDF][PDF] Feature extraction of chest X-ray images and analysis using PCA and kPCA
Tuberculosis (TB) is an infectious disease caused by mycobacterium which can be
diagnosed by its various symptoms like fever, cough, etc. Tuberculosis can also be analyzed …
diagnosed by its various symptoms like fever, cough, etc. Tuberculosis can also be analyzed …
Comparison of K-Means clustering and statistical outliers in reducing medical datasets
T Santhanam, MS Padmavathi - 2014 International Conference …, 2014 - ieeexplore.ieee.org
Data reduction is a process of reducing the datasets in volume, almost used in all real time
applications. Although there are several techniques available, many researchers have used …
applications. Although there are several techniques available, many researchers have used …
Prediction of diseases by cascading clustering and classification
BV Sumana, T Santhanam - 2014 International Conference on …, 2014 - ieeexplore.ieee.org
Diagnosis of the disease is one of the application areas where data mining techniques helps
in the extraction of knowledge from medical database. Recently, researchers have been …
in the extraction of knowledge from medical database. Recently, researchers have been …
An efficient feature subset selection algorithm for classification of multidimensional dataset
S Devaraj, S Paulraj - The Scientific World Journal, 2015 - Wiley Online Library
Multidimensional medical data classification has recently received increased attention by
researchers working on machine learning and data mining. In multidimensional dataset …
researchers working on machine learning and data mining. In multidimensional dataset …