Analysis of breast cancer event logs using various regression techniques

被引：1

作者：

Saravanan, M. S. ^{[1
]}

Patil, Pradnya ^{[2
]}

Subbaiah, K. Venkata ^{[3
]}

机构：

[1] Saveetha Sch Engn, Saveetha Inst Med & Tech Sci, Dept Artificial Intelligence, Chennai, Tamil Nadu, India

[2] KJ Somaiya Inst Engn & Informat Technol, Dept Comp Engn, Mumbai, Maharashtra, India

[3] DRK Institue Sci & Technol, Dept Comp Sci & Engn, Hyderabad, India

来源：

2021 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI) | 2021年

关键词：

Breast cancer; Machine Learning; Healthcare; Event logs; Regression technique;

D O I：

10.1109/ICCCI50826.2021.9402360

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The breast cancer is a chronic disorder that causes serious illness to the patients despite their age groups. Breast cancer has more number of research to identify the root causes. But in recent research finding also concentrated more on factors affecting the breast cancer with different type of event logs, such as healthcare centers generated data and trail data taken from various webpages. The machine learning techniques are mostly applied on complex type of event logs such as cancer data set, brain tumor dataset and heart related diseases. Among various diseases breast cancer is the one has more complex event logs, which is very complex to analyze and to find the root causes. This research article discuss about the breast cancer data set using logistic regression technique applied with python programming language. This paper also deals about the root causes about the breast cancer and related issues.

引用

页数：4

共 50 条

[1] An empirical comparison of classification techniques for next event prediction using business process event logs
Tama, Bayu Adhi
Comuzzi, Marco
EXPERT SYSTEMS WITH APPLICATIONS, 2019, 129 : 233 - 245
[2] A Review on Prediction Of Breast Cancer Using Various Data Mining Techniques
Deepika, M.
Gladence, L. Mary
Keerthana, R. Madhu
RESEARCH JOURNAL OF PHARMACEUTICAL BIOLOGICAL AND CHEMICAL SCIENCES, 2016, 7 (01): : 808 - 814
[3] The comparisons of prognostic indexes using data mining techniques and Cox regression analysis in the breast cancer data
Ture, Mevlut
Tokatli, Fusun
Omurlu, Imran Kurt
EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (04) : 8247 - 8254
[4] Partial Breast Reconstruction Using Various Oncoplastic Techniques for Centrally Located Breast Cancer
Park, Hyo Chun
Kim, Hong Yeul
Kim, Min Chul
Lee, Jeong Woo
Chung, Ho Yun
Cho, Byung Chae
Park, Ho Yong
Yang, Jung Dug
ARCHIVES OF PLASTIC SURGERY-APS, 2014, 41 (05): : 520 - 528
[5] Analysis of Breast Cancer Using Image Processing Techniques
Tomar, Ranjeet Singh
Singh, Tripty
Wadhwani, Sulochana
Bhadoria, Sarita Singh
2009 THIRD UKSIM EUROPEAN SYMPOSIUM ON COMPUTER MODELING AND SIMULATION (EMS 2009), 2009, : 251 - +
[6] Solar Particle Event Dose Forecasting Using Regression Techniques
Lovelace, Alan Mitchel
Rashid, Al Maqsudur
de Wet, Wouter C.
Townsend, Lawrence W.
Hines, J. Wesley
Moussa, Hanna
SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS, 2018, 16 (08): : 1073 - 1085
[7] Predictive Analysis Of Breast Cancer Using Machine Learning Techniques
Agrawal, Rashmi
INGENIERIA SOLIDARIA, 2019, 15 (29):
[8] A Survey on Breast Cancer Analysis Using Data Mining Techniques
Padmapriya, B.
Velmurugan, T.
2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (IEEE ICCIC), 2014, : 1234 - 1237
[9] Analysis of breast cancer using data mining & statistical techniques
Xiong, XC
Kim, YO
Baek, YC
Rhee, DW
Kim, SH
Sixth International Conference on Software Engineerng, Artificial Intelligence, Networking and Parallel/Distributed Computing and First AICS International Workshop on Self-Assembling Wireless Networks, Proceedings, 2005, : 82 - 87
[10] Analysis of Event Logs: Behavioral Graphs
Slaninova, Katerina
Vymetal, Dominik
Martinovic, Jan
WEB INFORMATION SYSTEMS ENGINEERING - WISE 2014 WORKSHOPS, 2015, 9051 : 42 - 56

← 1 2 3 4 5 →