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Critical Analysis of Data Mining Techniques on Medical Data

Zahid Ullah, Muhamma Fayaz, Asif Iqbal
2016 International Journal of Modern Education and Computer Science  
The use of Data mining techniques on medical data is dramatically soar for determining helpful things which are used in decision making and identification.  ...  Valuation of data mining techniques demand for medical data mining is the major goal here, particularly to examine the local frequent disease like heart ailments, breast cancer, lung cancer and so on.  ...  Automated classification of medical images is a significant tool for physicians in their day to day activity. Data mining classifiers are the suggested method for medical image classification.  ... 
doi:10.5815/ijmecs.2016.02.05 fatcat:fefglbwju5bsdal3g22ipwk4f4

Application of Data Mining Techniques for Medical Data Classification: A Review

Saima Anwar Lashari, Rosziati Ibrahim, Norhalina Senan, N. S. A. M. Taujuddin, S.A. Aljunid, M.A.A. Mohd Salleh, C.B.M. Rashidi, P.J. Soh, K.N.F. Ku Azir
2018 MATEC Web of Conferences  
This paper investigates the existing practices and prospects of medical data classification based on data mining techniques.  ...  From extensive literature analysis, it is found that data mining techniques are very effective for the task of classification.  ...  The existing approaches to the categorisation of medical records based on data mining techniques are being revised by highlighting the diverse categorisation algorithms for clinical imaging applications  ... 
doi:10.1051/matecconf/201815006003 fatcat:2ikmw4eucndg3kc5trqehnsxqm

A Framework for Medical Images Classification Using Soft Set

Saima Anwar Lashari, Rosziati Ibrahim
2013 Procedia Technology - Elsevier  
For these several medical imaging modalities and applications based on data mining techniques have been proposed and developed.  ...  As a result, a new framework for medical imaging classification consisting of six phases namely: data acquisition, data pre-processing, data partition, soft set classifier, data analysis and performance  ...  Acknowledgements The authors would like to thank Ministry of Higher Education (MOHE) and Universiti Tun Hussein Onn Malaysia (UTHM) for supporting this research under the Fundamental Research Grant Scheme  ... 
doi:10.1016/j.protcy.2013.12.227 fatcat:opxhly23ivdzjksqk7gylnde3q

Data Mining in Cancer Diagnosis and Prediction: Review about Latest Ten Years

Zahraa Naser Shah Weli
2020 Current Journal of Applied Science and Technology  
Data Mining [DM] has exceptional and prodigious potential for examining and analyzing the vague data of the medical domain. Where these data are used in clinical prognosis and diagnosis.  ...  The advantages of using DM in medical approach are unbounded and it has abundant applications, the most important: it leads to better medical treatment with a lower cost.  ...  Medical image classification techniques for early cancer diagnosis: A comprehensive study.  ... 
doi:10.9734/cjast/2020/v39i630555 fatcat:6euptmo5k5gkpjxlzse6w57ulm

Editorial: [Data Mining Techniques in Medical Informatics]

U. Acharya
2010 Open Medical Informatics Journal  
Data mining has become a fundamental methodology for computing applications in medical informatics.  ...  Such Data mining approaches for the analysis of microarray gene expression offer promise for precise, accurate, and functionally robust analysis of genomics data in cancer classification.  ... 
doi:10.2174/1874431101004020021 pmid:20694156 pmcid:PMC2916206 fatcat:l6xffiowv5akfosa3gkyssv7oi

Text Mining In Healthcare

This paper starts with introducing data mining and the healthcare paradigm. This study confers various techniques of data mining in healthcare application domain.  ...  As the scope of the study is limited to text mining classification, state of art in particular to healthcare text mining classification is studied in detail with suggested improvements.  ...  Objectives The objectives of this paper are to study Data Mining techniques in detail and find its applications in Healthcare domain.  ... 
doi:10.35940/ijitee.b1111.1292s19 fatcat:s6rtt3a33ncrfgpxpksnu2hdny

Data Mining in Biomedicine: Current Applications and Further Directions for Research

2009 Journal of Software Engineering and Applications  
This paper introduces some basic data mining techniques, unsupervised learning and supervising learning and reviews the application of data mining in biomedicine.  ...  Applications of the multimedia mining, including text, image, video and web mining, are discussed. The key issues faced by the computing professional, medical doctors and clinicians are highlighted.  ...  The authors would like to express their sincere thanks to the Research Committee of The Hong Kong Polytechnic University for financial support of the research work presented in this paper.  ... 
doi:10.4236/jsea.2009.23022 fatcat:24qp2zpq2nbdhl22fzgtg7apwy

Chest X-Rays Image Classification in Medical Image Analysis

Taufik RAHMAT, Azlan ISMAIL, Sharifah ALIMAN
2018 Applied Medical Informatics  
The review begins with a background information of data mining, and the fundamental knowledge of medical image analysis, chest radiography, and machine learning.  ...  Chest X-Rays image classification is an active research area in medical image analysis as well as computer-aided diagnosis for radiology.  ...  The survey conducted by Tomar and Agarwal [11] explored the application of data mining techniques for healthcare systems.  ... 
doaj:4e28f7d255c54f06b28165d19d7f9d74 fatcat:wgr3ri2bgfcgfp2afff4dbcbpe

Automated Brain Tumor Detection in Medical Brain Images and Clinical Parameters using Data Mining Techniques: A Review

Parveen Khan, Amritpal Singh, Saurabh Maheshwari
2014 International Journal of Computer Applications  
Data mining techniques are good for Brain MRI image classification that can diagnose brain tumor and other diseases.  ...  In this paper we present an overview of the current research being carried out using the data mining techniques for the diagnosis of brain tumor.  ...  ., A study on applications of data mining techniques in brain imaging. In their paper these techniques are effective for predicting and preventing a disease.  ... 
doi:10.5120/17306-7741 fatcat:kfwof43slvgy3dl4d3sj7wigrq

Comprehensive study on ensemble classification for medical applications

Rosaida Rosly, Mokhairi Makhtar, Mohd Khalid Awang, Mohd Isa Awang, Mohd Nordin Abdul Rahman, Hairulnizam Mahdin
2018 International Journal of Engineering & Technology  
The aims of this paper were to provide a comprehensive review of classification techniques and their alternative approaches in data mining.  ...  Classification is a data mining technique that assigns categories to a collection of data to aide in more accurate predictions and analyses.  ...  Introduction Data mining is the application of specific algorithms for extracting patterns from data [16] .  ... 
doi:10.14419/ijet.v7i2.14.12822 fatcat:uat5nheqlzcnxnttzmfhupp53u

The impact of data mining techniques on medical diagnostics

Siri Krishan Wasan, Vasudha Bhatnagar, Harleen Kaur
2006 Data Science Journal  
Medical data mining has great potential for exploring the hidden patterns in the data sets of the medical domain. These patterns can be utilized for clinical diagnosis.  ...  In this paper we briefly examine the impact of data mining techniques, including artificial neural networks, on medical diagnostics.  ...  This is the most important data mining technique, and medical diagnosis is an important application of classification.  ... 
doi:10.2481/dsj.5.119 fatcat:dmgpspofgbdvbkyysu5ivzkjli

A Survey On Medical Data Mining Techniques

2018 Zenodo  
In data mining, we are extracting data from historical knowledge and create data sets.  ...  Data mining is similar to discover data knowledge from data warehouse and converts it into understandable format.  ...  III: SUMMARY OF TECHNIQUES FOR MEDICAL DATA V CONCLUSION AND FUTURE SCOPE In this survey paper, we have studied different data mining techniques for diagnosis different disease.  ... 
doi:10.5281/zenodo.1410223 fatcat:5ocps6liqrbmbjr3qwo5dq2ila

Review Paper of Image processing technique for the diagnosis of diseases

Kalyani S. Boral, Dr. V. T. Gaikwad
2018 International Journal of Trend in Scientific Research and Development  
In recent times, image processing techniques are used in medical field for image improvement in earlier detection of diseases, Medical informatics is the study that combines two medical data sources: biomedical  ...  record and imaging data .Medical image data is formed by pixels that correspond to a part of a physical object and produced by imaging modalities study of medical image data methods is a challenge in  ...  The aim of the review is to give the reader wide-ranging review of mining medical image classification techniques includes their pros and cons.  ... 
doi:10.31142/ijtsrd10703 fatcat:khdx2pm2s5holezyv44xrsqd2e

August 2016 VOLUME 5, ISSUE 8, AUGUST 2016 5th Generation Wi-Fi Shatha Ghazal, Raina S Alkhlailah Abstract | PDF with Text | DOI: 10.17148/IJARCCE.2016.5801 ECG Arrhythmia Detection Using Choi-Williams Time-Frequency Distribution and Artificial Neural Network Sanjit K. Dash, G. Sasibhushana Rao Abstract | PDF with Text | DOI: 10.17148/IJARCCE.2016.5802 Data Security using RSA Algorithm in Cloud Computing Santosh Kumar Singh, Dr. P.K. Manjhi, Dr. R.K. Tiwari Abstract | PDF with Text | DOI: 10.17148/IJARCCE.2 ...

Abdullah K K A, Robert A B C, Adeyemo A B
2016 IJARCCE  
This paper discussed query terms with semantic search for retrieval of web content using different semantic indexing techniques.  ...  This would derive search related terms in the retrieved result taking into consideration the advantages, limitations on each of the techniques.  ...  Medical Expansion Using Wordnet approach introduce additional source of term importance which can be used for term weighting.  ... 
doi:10.17148/ijarcce.2016.5869 fatcat:ihbu5ekllnhqjbuw6yeetnin3q

A Review of Denoising Medical Images Using Machine Learning Approaches

Prabhpreet Kaur, Gurvinder Singh, Parminder Kaur
2018 Current Medical Imaging Reviews  
This paper attempts to identify suitable Machine Learning (ML) approach for image denoising of radiology based medical application.  ...  In most of the applications, the machine learning performance is better than the conventional image denoising techniques.  ...  Now-adays, the interests of the radiologists are attracted towards the medical data mining for patience care. Medical data mining and image denoising is the state of art challenge for researchers.  ... 
doi:10.2174/1573405613666170428154156 pmid:30532667 pmcid:PMC6225344 fatcat:tyfmwr7dszh2paqx7m4ktue4oi
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