[HTML][HTML] Machine learning and data mining methods in diabetes research

I Kavakiotis, O Tsave, A Salifoglou… - Computational and …, 2017 - Elsevier
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 …

RETRACTED ARTICLE: Association rule generation and classification with fuzzy influence rule based on information mass value

R Dhanalakshmi, K Anitha, D Rukmani Devi… - Journal of ambient …, 2021 - Springer
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 …

FIFS: A data mining method for informative marker selection in high dimensional population genomic data

I Kavakiotis, P Samaras, A Triantafyllidis… - Computers in biology and …, 2017 - Elsevier
Abstract Background and objective Single Nucleotide Polymorphism (SNPs) are, nowadays,
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 …

Informative top-k class associative rule for cancer biomarker discovery on microarray data

HF Ong, N Mustapha, H Hamdan, R Rosli… - Expert Systems with …, 2020 - Elsevier
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 …

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 …

[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 …

[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 …

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 …

[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 …