NDLI: Skip pattern analysis for stratification and detection of undetermined and inconsistent data

Content Provider	IEEE Xplore Digital Library
Author	Arslanturk, S. Siadat, M.-R. Ogunyemi, T. Demirovic, K. Diokno, A.
Copyright Year	2012
Description	Author affiliation: Dept. Comp Sci. & Eng., Oakland Univ., Rochester, MI, USA (Arslanturk, S.; Siadat, M.-R.) \|\| Eng. Biol., Oakland Univ., Rochester, MI, USA (Demirovic, K.) \|\| Dept. Math & Stat., Oakland Univ., Rochester, MI, USA (Ogunyemi, T.) \|\| Beaumont Hosp., Royal Oak, MI, USA (Diokno, A.)
Abstract	Urinary Incontinence (UI) is a costly condition that decreases the quality of a patient's life and social engagement. Identification of UI risk factors may help early prevention and treatment of the condition. In this study we revisited the Medical, Epidemiological and Social Aspects of Aging (MESA) data collected in 1983 by the University of Michigan. The experiments are conducted on the dataset pertaining to the female-only population. The dataset contains missing values. First, the missing values are classified into inconsistent, undetermined, genuine missing values and skip patterns. The undetermined and inconsistent values are distinguished from the skip patterns and removed from the dataset. Once the skip patterns are detected, they are used to stratify the MESA data. Based on the stratification performed, the important risk factors are then analyzed for each group of subjects. JRip rule extraction technique is utilized to determine the UI risk factors. Consequently, taking female hormones was determined as the most important stratifying feature. The dataset is then stratified to two subsets based on this stratifying feature. Education level, hearing problems, urine loss while coughing or sneezing, physical activity, stress and cancer are risk factors specific to taking female hormones. The common risk factors among both of the stratified groups were: stress, frequent sneezing, and low physical activity. Although there were common risk factors among both of the stratified groups these preliminary results show that different group of subjects have different risk factors, and therefore they should be provided with different diagnoses and possibly treatment plans.
Starting Page	990
Ending Page	995
File Size	273695
Page Count	6
File Format	PDF
ISBN	9781467311830
e-ISBN	9781467311847
DOI	10.1109/BMEI.2012.6512927
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graph Theory Skip pattern analysis Stratification Urinary Incontinence Rule Extraction
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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