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https://www.researchgate.net/publication/220208847_Intelligent_Decision_Support_System_for_Osteoporosis_Prediction
Intelligent Decision Support System for Osteoporosis Prediction Article (PDF Available) in International Journal of Intelligent Information Technologies 8:26-45 · January 2012 with 318 Reads
https://www.igi-global.com/article/intelligent-decision-support-system-osteoporosis/63350
Intelligent Decision Support System for Osteoporosis Prediction: 10.4018/ijiit.2012010103: The healthcare environment is generally perceived as being information rich yet knowledge poor. The healthcare industry collects huge amounts of healthcareCited by: 10
https://www.researchgate.net/publication/266487959_Intelligent_Predictive_Osteoporosis_System
Intelligent Predictive Osteoporosis System. ... intelligent decision support system ... We were the first to perform comparisons of the performance of osteoporosis prediction between the machine ...
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3809875/
Nov 01, 2013 · A number of clinical decision tools for osteoporosis risk assessment have been developed to select postmenopausal women for the measurement of bone mineral density. We developed and validated machine learning models with the aim of more accurately identifying ...Cited by: 17
https://www.hindawi.com/journals/jhe/2018/9621640/
The aims of this study are to investigate the association of inhaled corticosteroids and fracture and to design a clinical support system for fracture prediction. The data of patients aged 20 years and older, who had visited healthcare centers and been prescribed with inhaled corticosteroids within 2002–2010, were retrieved from the ...Cited by: 3
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.551.1351
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract: This paper presents the research in developing an ensemble of data mining techniques for predicting the risk of osteoporosis prevalence in women. Osteoporosis is a bone disease that commonly occurs among postmenopausal women. Early detection and diagnosis is the key for prevention but are very difficult ...
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3303889/
Methods. We retrospectively reviewed the medical records of female patients eligible for osteoporosis screening who had no prior bone mineral density test who were seen at our primary care practice sites in 2007 or 2008 (before and after implementation of a point-of-care clinical decision support system).Cited by: 17
https://research.ijcaonline.org/volume32/number5/pxc3875468.pdf
Intelligent Predictive Osteoporosis System Walid MOUDANI ... (RF) decision tree to identify the osteoporosis cases. There has been no research in using the afore-mentioned algorithm for Osteoporosis patients‘ prediction. The reduction of ... Building an Osteoporosis prediction system
http://www.wseas.us/e-library/conferences/2005lisbon/papers/496-221.pdf
obvious waning symptoms in particular. Our research aims to develop an intelligent decision support system based on data mining ensemble technology to assist General Practitioners in assessing patient’s risk of developing osteoporosis. The paper focuses on investigating the methodologies for constructing effective ensembles,
https://www.sciencedirect.com/science/article/pii/S1389041718300883
With the increase of back pain cases it is required to propose a reliable decision support system that can diagnose and produce advices in that field. In this paper, a fuzzy-neuro decision support system is proposed to produce advices and consultations in back pain diagnosis with degree of severity.Cited by: 1
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