This paper is published in Volume-6, Issue-1, 2020
Area
Computer Science Engineering
Author
Rajni Devi
Co-authors
Gurinderpal Singh
Org/Univ
Institute of Engineering and Technology, Bhaddal, Punjab, India
Pub. Date
08 January, 2020
Paper ID
V6I1-1160
Publisher
Keywords
Tobacco smoke, COPD, Data mining, Psychotherapy

Citationsacebook

IEEE
Rajni Devi, Gurinderpal Singh. A lung cancer disease due to smoker using data mining classification algorithm for the prediction, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Rajni Devi, Gurinderpal Singh (2020). A lung cancer disease due to smoker using data mining classification algorithm for the prediction. International Journal of Advance Research, Ideas and Innovations in Technology, 6(1) www.IJARIIT.com.

MLA
Rajni Devi, Gurinderpal Singh. "A lung cancer disease due to smoker using data mining classification algorithm for the prediction." International Journal of Advance Research, Ideas and Innovations in Technology 6.1 (2020). www.IJARIIT.com.

Abstract

The smoke exposure detection risk comprises determining the relative risk (RR) of lung cancer in life span by no means smokers linked with environmental tobacco smoke (ETS) disclosure. The most important purpose is to nearby an updated meta-psychiatry of the epidemiological information, even though for a short time converse the tentative confirmation, and learning of smolder forbid. This entire thing aimed to construct an experienced catalog most intimately correspondent to given that spousal smolder is the conventional catalog for learning ETS possessions, women connubial to a smoker having a patently elevated ETS disclosure, as considered by coniine, than women connubial to a non-smoker. Thus, the fallout was selected in the subsequent categorize of fondness for Exposure, disease category, the moment of exposure, disease characterization, and label of no ETS revelation. In adding up, consequences chosen were those attuned for nearly everybody confounders for which penalty were agreed. This advance of deciding on the nearly everyone pertinent consequence permissible the meta-psychiatry to comprise fallout from each learning.
Paper PDF