[HTML][HTML] Machine learning and data mining methods in diabetes research
The remarkable advances in biotechnology and health sciences have led to a significant
production of data, such as high throughput genetic data and clinical information, generated …
production of data, such as high throughput genetic data and clinical information, generated …
RETRACTED ARTICLE: Association rule generation and classification with fuzzy influence rule based on information mass value
The association rule based classification is imperative in the disease prediction owing to its
high predictability. To deal with the sensitive data, we propose an algorithm using fuzzy …
high predictability. To deal with the sensitive data, we propose an algorithm using fuzzy …
FIFS: A data mining method for informative marker selection in high dimensional population genomic data
Abstract Background and objective Single Nucleotide Polymorphism (SNPs) are, nowadays,
becoming the marker of choice for biological analyses involving a wide range of applications …
becoming the marker of choice for biological analyses involving a wide range of applications …
Multi level incremental influence measure based classification of medical data for improved classification
K Ananthajothi, M Subramaniam - Cluster Computing, 2019 - Springer
The problem of classification in medical data has been well studied and there exist number
of solution for the classification of medical using different measures and methods. However …
of solution for the classification of medical using different measures and methods. However …
Informative top-k class associative rule for cancer biomarker discovery on microarray data
The discovery of reliable cancer biomarkers is crucial for accurate early detection and
clinical diagnosis. One of the strategies is by identifying expression-based cancer …
clinical diagnosis. One of the strategies is by identifying expression-based cancer …
Survey of breast cancer detection using machine learning techniques in big data
M Gupta, B Gupta - Research Anthology on Medical Informatics in …, 2023 - igi-global.com
Cancer is a disease in which cells in body grow and divide beyond the control. Breast
cancer is the second most common disease after lung cancer in women. Incredible …
cancer is the second most common disease after lung cancer in women. Incredible …
[PDF][PDF] The Working of Various Prediction Techniques For Heart Diseases–A Case Study
N Vaidya, M Kandu, RK Yadav, N Bharadwaj - IJRAR-International Journal …, 2020 - ijrar.org
Heart disease or cardiovascular disease (CVD) is a kind of illness involving heart and/or
blood vessels of people. Millions of scientists have been ventured down to contemplate the …
blood vessels of people. Millions of scientists have been ventured down to contemplate the …
[PDF][PDF] Application Association Rule Mining in Medical-Ьiological Investigations: а Survey
X Naidenova, V Ganapolsky, A Yakovlev, T Martirova - 2020 - ceur-ws.org
1n this chapter, а survey is proposed related to the application of Apriori-like algorithms in
medical and biological investigations for discovering frequent sets of attributes values in …
medical and biological investigations for discovering frequent sets of attributes values in …
A Prediction of Disease Using Machine Learning Approach
S Saxena, N Soni, A Kumar, A Mishra - Pervasive Healthcare: A …, 2022 - Springer
Significant advancement has been made toward actualizing mechanized medicine,
revealing models based on machine learning. This is because of the presentation of …
revealing models based on machine learning. This is because of the presentation of …
[PDF][PDF] Machine Learning and Data Mining Methods in Diabetes Research
N Agarwal, R Vadiwala - Asian Journal of Organic & Medicinal …, 2022 - researchgate.net
The tremendous breakthroughs in biotechnology and health sciences have resulted in a
substantial amount of data being created from massive Electronic Health Records, such as …
substantial amount of data being created from massive Electronic Health Records, such as …