Analysis of prediction accuracy of diabetes using classifier and hybrid machine learning techniques
In the past few years, the growth of diabetes among people became exponential. A health
report tells that about 347 million of world populations are affected by diabetes. Diabetes not …
report tells that about 347 million of world populations are affected by diabetes. Diabetes not …
Combination of reduction detection using TOPSIS for gene expression data analysis
In high-dimensional data analysis, Feature Selection (FS) is one of the most fundamental
issues in machine learning and requires the attention of researchers. These datasets are …
issues in machine learning and requires the attention of researchers. These datasets are …
A systematic approach for pre-processing electronic health records for mining: Case study of heart disease
Electronic Health Records (EHRs) form major part of Medical Big Data (MBD) and are
enormous resources of knowledge. Mining EHRs can lead us to new generations of …
enormous resources of knowledge. Mining EHRs can lead us to new generations of …
A novel bio-inspired hybrid multi-filter wrapper gene selection method with ensemble classifier for microarray data
Microarray technology is known as one of the most important tools for collecting DNA
expression data. This technology allows researchers to investigate and examine types of …
expression data. This technology allows researchers to investigate and examine types of …
An Integrated ELM Based Feature Reduction Combination Detection for Gene Expression Data Analysis
Globally, cancer stands as the second leading cause of mortality. Various strategies have
been proposed to address this issue, with a strong emphasis on utilizing gene expression …
been proposed to address this issue, with a strong emphasis on utilizing gene expression …
Unleashing the power of machine learning in cancer analysis: a novel gene selection and classifier ensemble strategy
Purpose Globally, cancer is the second largest cause of mortality. For the improvement of
cancer diagnosis, gene expression data plays a significant role. Cancer detection using …
cancer diagnosis, gene expression data plays a significant role. Cancer detection using …
A hybrid approach to accelerate the classification accuracy of cervical cancer data with class imbalance problems
JS Manoharan, M Braveen… - … Journal of Data …, 2021 - inderscienceonline.com
Cervical cancer is one of the most ubiquitous gynaecological disorders worldwide. While
most of the research conducted over the past decade has focused on this, diagnosis widely …
most of the research conducted over the past decade has focused on this, diagnosis widely …
Preliminary Diagnosis of Diabetes Through Comparative Analysis of Supervised Machine Learning Techniques
When it comes to medical studies and the life sciences, Machine Learning already made a
significant impact. The metabolic disease known as diabetes is characterized by …
significant impact. The metabolic disease known as diabetes is characterized by …
[PDF][PDF] Combination of Reduction Detection Using TOPSIS for Gene Expression Data Analysis. Big Data Cogn. Comput. 2022, 6, 24
J Tripathy, R Dash, BK Pattanayak, SK Mishra… - 2022 - academia.edu
In high-dimensional data analysis, Feature Selection (FS) is one of the most fundamental
issues in machine learning and requires the attention of researchers. These datasets are …
issues in machine learning and requires the attention of researchers. These datasets are …
Preliminary Diagnosis ofáDiabetes Through Comparative Analysis ofáSupervised Machine Learning Techniques
HK MdáImranáAlam, STS MalikáZaibáAlam - Nanotechnology in Miniaturization - Springer
When it comes to medical studies and the life sciences, Machine Learning already made a
significant impact. The metabolic disease known as diabetes is characterized by …
significant impact. The metabolic disease known as diabetes is characterized by …