NDLI: Challenges in predicting community periodontal index from hospital dental care records

Content Provider	IEEE Xplore Digital Library
Author	Vieira, D. Hollmen, J. Linden, J. Suni, J.
Copyright Year	2013
Description	Author affiliation: Health Care Center, Lohja, Finland (Linden, J.) \|\| Oral Health Corp., Vantaa, Finland (Suni, J.) \|\| X-akseli Oy, Espoo, Finland (Vieira, D.) \|\| Sch. of Sci., Dept. of Inf. & Comput. Sci., Aalto Univ., Espoo, Finland (Hollmen, J.)
Abstract	Many studies have been performed in predicting periodontal diseases based on genetic information, dental images or patients habits but few have yet used dental visits records. This paper proposes a methodology based on Random Forest to classify the periodontal disease condition of patients and a way to assess the most important features that lead to a successful classification. We investigate three problematic issues found in dental care records: noise, class imbalance and concept drift and propose solutions to overcome them by respectively detecting and removing noise, under-sampling and only considering recent data. Experiments performed on records from Finnish public hospitals of two cities had good classification results and feature importance was able to detect dentists with poor performance with respect to diagnosis and treatment application.
Starting Page	107
Ending Page	112
File Size	570048
Page Count	6
File Format	PDF
ISBN	9781479910533
DOI	10.1109/CBMS.2013.6627773
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-20
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dentistry Diseases Support vector machines Accuracy Noise Training Kernel
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