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Application of Data Mining Techniques and Algorithms for the Detection of Breast Cancer

José E. Zagal Solano, Miguel A. Ruiz-Jaimes, Juan J. Flores Sedano, Mayra L. Bonilla Monzón, Gloria V. Urquiza Flores, Marco A. Valerio Reyes, Jorge A. Ruiz-Vanoye
2020 Research in Computing Science  
That is why during the article some data mining techniques are presented along with three artificial intelligence algorithms, using data obtained from the University Medical Center, Institute of Oncology  ...  Breast cancer is a disease that affects a large part of world society.  ...  Breast cancer detection using advanced data mining techniques with neural networks [3] . 2. Design and implementation of fuzzy classification algorithms for breast cancer diagnosis [4] . 3.  ... 
dblp:journals/rcs/SolanoRSMFRR20 fatcat:hnwzv6ag5jay7b5gy4kxhfi22e

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.  ...  Consequently, DM algorithms have the main usage in cancer detection and treatment through providing a learning rich environment which can help to improve the quality of clinical decisions.  ...  Early detection of cancer using data mining. International Journal of Classification algorithm based analysis of breast cancer data.  ... 
doi:10.9734/cjast/2020/v39i630555 fatcat:6euptmo5k5gkpjxlzse6w57ulm

A Review on Data Mining Techniques for Prediction of Breast Cancer Recurrence

R.S.PadmaPriya, P. Senthil Vadivu
2019 Zenodo  
Large information like Clump, Classification, Association Rules, Prediction and Neural Networks, Decision Trees can be analyzed using data mining applications and techniques.  ...  The projected analysis can establish the most effective algorithm that predicts the recurrence of the breast cancer and improve the accuracy the algorithms.  ...  LG et al [2] studied the application of data mining techniques to develop predictive models for breast cancer recurrence in patients.  ... 
doi:10.5281/zenodo.3355235 fatcat:wozy2rjnsncfncyj3oylhsojey

Data mining and medical world: breast cancers' diagnosis, treatment, prognosis and challenges

Rozita Jamili Oskouei, Nasroallah Moradi Kor, Saeid Abbasi Maleki
2017 American Journal of Cancer Research  
This investigation attempts to provide a comprehensive survey about applications of data mining techniques in breast cancer diagnosis, treatment & prognosis till now.  ...  Data mining has various techniques for extracting valuable information or knowledge from data. These techniques are applicable for all data that are collected inall fields of science.  ...  classification techniques with Model-based data mining techniques for accuracy of detecting breast cancers.  ... 
pmid:28401016 pmcid:PMC5385648 fatcat:2gw2k7kedzg7lowumlt6zaofga

Mining based Optimization for Breast Cancer Analysis: A Review

Murari Kumar, Shivkumar Singh Tomar, Bhupesh Gaur
2015 International Journal of Computer Applications  
Risk Factors, Prevention and early detection are also discussed here. Our study focuses on mining and optimization techniques to find the remedies.  ...  In this paper we are analyzing the way for Cancer Classification and prediction so that we can prevent it in the earlier stages.  ...  This fa is unalloyed on UCI-Breast Censer data-base. In 2014, Radha et al. [19] analyzes the breast cancer dataset and then applying data mining approach to evaluate the results.  ... 
doi:10.5120/21124-3402 fatcat:el64aytvzbgbnandpjzlb7q2lu

Prediction of Malignant & Benign Breast Cancer: A Data Mining Approach in Healthcare Applications [article]

Vivek Kumar, Brojo Kishore Mishra, Manuel Mazzara, Dang N. H. Thanh, Abhishek Verma
2019 arXiv   pre-print
This work focuses on different classification techniques implementation for data mining in predicting malignant and benign breast cancer.  ...  Keywords- Data Mining, Classification Techniques, UCI repository, Breast Cancer, Classification Algorithms  ...  U, emphasize upon the selection parameters for predicting the probability of recurrence of breast cancer by using data mining techniques.  ... 
arXiv:1902.03825v4 fatcat:lcq72mmbmrgdzifomn4jtktnc4

Diagnosis of Breast Cancer using Clustering Data Mining Approach

Jahanvi Joshi, Rinal Doshi, Jigar Patel
2014 International Journal of Computer Applications  
For early diagnosis of the breast cancer patients, clustering data mining algorithm used to detect breast cancer.  ...  The selection of appropriate clustering data mining technique is a challenge for the diagnosis of breast cancer. To get early result the challenges takes four clustering data mining techniques.  ...  To perform experimental work this research take WEKA as an open source data mining tool and then apply different data mining algorithm for measure accuracy and performance for the detection of the breast  ... 
doi:10.5120/17722-7611 fatcat:xu5qdiykwjhtfjcgfhwcuxzi44


Radhanath Patra, ShankhaMitra Sunani.
2016 International Journal of Advanced Research  
This paper summarizes the application of artificial neural network and various methods of data mining for detecting breast cancer in human. The remainder of this paper is organized as follows.  ...  Different techniques are used for the diagnosis and prognosis of breast cancer using artificial neural network data mining classification technique.  ... 
doi:10.21474/ijar01/2123 fatcat:4vyz65gw3jc4bkgyaqfw4llz4u

SVM &Ga-clustering Based Feature Selection Approach for Breast Cancer Detection

Rashmi Priya, Syed Wajahat Abbas Rizvi
2020 International Journal on Soft Computing Artificial Intelligence and Applications  
Data mining is an important step of library discovery where intelligent methods are used to detect patterns. We are analysing data accessible from the U.C.I. deep-learning data set in Wisconsin.  ...  This research is focused on genetic programming and machine learning algorithms to reliably identify benign and malignant breast cancer. This study aimed to optimise the testing algorithm.  ...  Different feature selection applications over the past two decades: MATERIAL AND METHODS Weka is a data mining application that uses algorithms.  ... 
doi:10.5121/ijscai.2020.9401 fatcat:bwsqedcd3rhgdjxtwpbe5kznom

A Research on Breast Cancer Prediction using Data Mining Techniques

Early detection and diagnosis of breast cancer plays a significant role in the welfare of women. The mortality rate due to breast cancer is on an all-time high.  ...  This survey reviews various data mining algorithms on large breast cancer biological datasets.  ...  We need efficient applications for detection and prevention of breast cancer.  ... 
doi:10.35940/ijitee.k1058.09811s219 fatcat:r75bxhaepvhtlfqpwptdf34i3q

Diagnosis for Early Stage of Breast Cancer using Outlier Detection Algorithm Combined with Classification Technique

2019 International Journal of Engineering and Advanced Technology  
The correct classification of benign cancer can prevent from superfluous treatment for patients. This paper focused on diagnosis early stage of the breast cancer based on data mining algorithms.  ...  The second stage, the outlier detection (OD) algorithm has used to detect the outliers from the cancer dataset.  ...  Priya and Karthikeyan have focused to analyze the performance of outlier detection algorithm using feature bagging technique for health care application.  ... 
doi:10.35940/ijeat.b4514.129219 fatcat:qrumy7lsorhllcnn65lkxemvja

Enhancing breast cancer detection using data mining classification techniques

Florije Ismaili, Luzana Shabani, Bujar Raufi, Jaumin Ajdari, Xhemal Zenuni
2017 Pressacademia  
Cancer is one of the crucial causes of death for both men and women. All over the world, breast cancer is one of the leading cause of cancer deaths in women.  ...  In this paper we have discussed various data mining approaches that have been utilized for breast cancer diagnosis and prognosis.  ...  CONCLUSION This paper has outlined and discussed various data mining approaches and techniques for the problem of breast cancer detection.  ... 
doi:10.17261/pressacademia.2017.605 fatcat:kmwjywzjrfckninik54jawvxlu


Dr. Rashmi Priya1 And Syed Wajahat2
2020 Zenodo  
Data mining is an important step of library discovery where intelligent methods are used to detect patterns. We are analysing data accessible from the U.C.I. deep-learning data set in Wisconsin.  ...  This research is focused on genetic programming and machine learning algorithms to reliably identify benign and malignant breast cancer. This study aimed to optimise the testing algorithm.  ...  mining application that uses algorithms.  ... 
doi:10.5281/zenodo.4304225 fatcat:smtadnxxtbfodnywfmdbcpfoli

Utilization of Data Mining Techniques for Analysis of Breast Cancer Dataset Using R

Keerti Yeulkar
2017 International Journal for Research in Applied Science and Engineering Technology  
Two algorithms c4.5 and naive bayes has been applied to the breast cancer dataset to analyse the accuracy of algorithm.  ...  for the diagnosis of cancer medical professionals need an accurate & reliable prediction techniques. There are various techniques that is being used for the diagnosis purpose.  ...  Application of data mining techniques to model breast cancer data is explored by Syed Shajahaan et al. in [8] .  ... 
doi:10.22214/ijraset.2017.3074 fatcat:tatdrlfmefezxpvmjdvapwvfrq

Critical Analysis of Data Mining Techniques on Medical Data

Zahid Ullah, Muhamma Fayaz, Asif Iqbal
2016 International Journal of Modern Education and Computer Science  
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.  ...  The suitable use of data mining algorithm can enhance the quality of prediction, diagnosis and disease classification.  ...  This paper [7] , is about breast cancer diagnosis and prognosis and also pay attention to latest research utilizing data mining techniques for improving breast cancer diagnosis and prognosis.  ... 
doi:10.5815/ijmecs.2016.02.05 fatcat:fefglbwju5bsdal3g22ipwk4f4
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