[HTML][HTML] Machine learning applied to diagnosis of human diseases: A systematic review

N Caballé-Cervigón, JL Castillo-Sequera… - Applied Sciences, 2020 - mdpi.com
Human healthcare is one of the most important topics for society. It tries to find the correct
effective and robust disease detection as soon as possible to patients receipt the …

[HTML][HTML] A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients

MS Santos, PH Abreu, PJ García-Laencina… - Journal of biomedical …, 2015 - Elsevier
Liver cancer is the sixth most frequently diagnosed cancer and, particularly, Hepatocellular
Carcinoma (HCC) represents more than 90% of primary liver cancers. Clinicians assess …

[PDF][PDF] A study on WEKA tool for data preprocessing, classification and clustering

S Singhal, M Jena - International Journal of Innovative technology and …, 2013 - Citeseer
The basic principles of data mining is to analyze the data from different angle, categorize it
and finally to summarize it. In today's world data mining have increasingly become very …

[PDF][PDF] Data mining in clinical data sets: a review

SG Jacob, RG Ramani - training, 2012 - Citeseer
Data mining is one of the extensively researched areas in computer science and information
technology owing to the wide influence exhibited by this computational technique on diverse …

Usage Apriori and clustering algorithms in WEKA tools to mining dataset of traffic accidents

FM Nafie Ali, AA Mohamed Hamed - Journal of Information and …, 2018 - Taylor & Francis
The aim of this study is finding approaches for investigating association rules mining
algorithms and clustering to offer new rules from a broad set of discovered rules which taken …

[PDF][PDF] Performance analysis and evaluation of different data mining algorithms used for cancer classification

GKM Nookala, BK Pottumuthu, N Orsu… - International Journal of …, 2013 - Citeseer
Classification algorithms of data mining have been successfully applied in the recent years
to predict cancer based on the gene expression data. Micro-array is a powerful diagnostic …

Processing large text corpus using N-gram language modeling and smoothing

S Avasthi, R Chauhan, DP Acharjya - Proceedings of the Second …, 2021 - Springer
The prediction of next word, letter or phrase for the user, while she is typing, is a really
valuable tool for improving user experience. The users are communicating, writing reviews …

[PDF][PDF] Early detection and prevention of cancer using data mining techniques

P Ramachandran, N Girija, T Bhuvaneswari - International Journal of …, 2014 - Citeseer
Cancer is one of the leading causes of death worldwide. Early detection and prevention of
cancer plays a very important role in reducing deaths caused by cancer. Identification of …

[PDF][PDF] Knowledge discovery from database using an integration of clustering and classification

V Kumar, N Rathee - International Journal of Advanced Computer Science …, 2011 - Citeseer
Clustering and classification are two important techniques of data mining. Classification is a
supervised learning problem of assigning an object to one of several pre-defined categories …

Prediction of survival in thyroid cancer using data mining technique

M Jajroudi, T Baniasadi, L Kamkar… - … in cancer research …, 2014 - journals.sagepub.com
Cancer is the second leading cause of death after cardiovascular diseases in the world.
Health professionals are seeking ways for suitable treatment and quality of care in these …