NDLI: Clinical validated computer-aided decision system to the clubfeet deformities

Content Provider	IEEE Xplore Digital Library
Author	Tien Tuan Dao Marin, F. Tho, M.C.H.B.
Copyright Year	2009
Description	Author affiliation: CNRS UMR 6600 Biomécanique et Bioingénierie, Université de Technologie de Compiégne, Compiégne, France (Tien Tuan Dao; Marin, F.; Tho, M.C.H.B.)
Abstract	A Computer-Aided Decision System (CADS) was developed in order to assess the abnormalities of the clubfeet deformities. Our system consists of four components: 1) a diagnosis-based ontology of the musculoskeletal system of the lower limbs 2) a database for collecting clinical observations of the clubfeet deformities, e.g. the birth classification 3) the decision tree method and a diagnosis algorithm in order to predict new issues 4) an interactive module for managing the interaction between patients, experts and the due CADS. The pathological decision tree of the relationships between different parameters concerning clubfoot (equinus, varus, medial derotation of the Calcaneo-MidForefoot Unit, supination, muscle function, and joint flexibility) was computed. Rule knowledge was deduced to classify the 3 grades of the clubfoot deformities (Moderate, Severe, Rigid). Our system was validated clinically with the real patient data obtained from the Infant Surgery Service in Robert Debre´ Hospital in Paris. The remote access into our system has been guaranteed through a dynamic Web-based interface. Our system was developed in order to allow a better assessment for improving the knowledge and thus the evaluation and treatment of clubfeet
Starting Page	6230
Ending Page	6233
File Size	540370
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5334650
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision trees Ontologies Musculoskeletal system Databases Classification tree analysis Pathology Muscles Pediatrics Surgery Hospitals
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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

Spectral envelope and periodic component in classification trees for pathological voice diagnostic

Improving the implementation of clinical decision support systems

Syllable-based speech recognition using EMG

A semantically-aided architecture for a web-based monitoring system for carotid atherosclerosis

Classification of posture and activities by using decision trees

Application of decision tree in the prediction of periventricular leukomalacia (PVL) occurrence in neonates after heart surgery

Probabilistic lung nodule classification with belief decision trees

Development of a pediatric cardiac computer aided auscultation decision support system

Automatic sleep staging using state machine-controlled decision trees

Clinical validated computer-aided decision system to the clubfeet deformities

Similar Documents

Spectral envelope and periodic component in classification trees for pathological voice diagnostic

Improving the implementation of clinical decision support systems

Syllable-based speech recognition using EMG

A semantically-aided architecture for a web-based monitoring system for carotid atherosclerosis

Classification of posture and activities by using decision trees

Application of decision tree in the prediction of periventricular leukomalacia (PVL) occurrence in neonates after heart surgery

Probabilistic lung nodule classification with belief decision trees

Development of a pediatric cardiac computer aided auscultation decision support system

Automatic sleep staging using state machine-controlled decision trees

Clinical validated computer-aided decision system to the clubfeet deformities