% 0期刊文章% @ 1438 - 8871 V %我JMIR出版物I卡塔尔世界杯8强波胆分析nc . % 17% N P出价% T FRAT-up 2%,基于web的跌倒风险评估工具对老年人生活在社区% Cattelani,卢卡%帕伦博,又是% Palmerini,卢卡% Bandinelli,普%贝克尔,克莱门斯% Chesani,费德里科•希阿里%,洛伦佐% +计算机科学与工程系,DISI博洛尼亚大学Viale复兴运动2,博洛尼亚,40136年,意大利,39 051 2093086,federico.chesani@unibo。% K意外下跌% K比值比% K风险评估% K风险因素% K ROC曲线% K岁% D原始论文7 18.02.2015 % 9 2015% % J J互联网Res % G英语% X背景:约有30%的人超过65受每年至少一个意外下跌。秋天预防协议和干预措施可以减少的数量下降。预防策略是有效的,需要一个前一步评估受试者的风险下降。尽管有广泛的研究,现有的下跌风险的评估工具预测下降的不足。目的:本研究的目的是提出一个新颖的基于web的跌倒风险评估工具(FRAT-up)和评价其预测的准确性下降,在一个社区的人年龄在65岁以上。方法:FRAT-up是基于一个假设,即主体的下跌风险的贡献他们的接触每一个已知的跌倒的风险因素。许多科学研究调查了瀑布和危险因素之间的关系。大多数的这些研究采用统计方法,通常提供定量信息,比如优势比。FRAT-up利用这些数值结果来计算每个单因素如何导致整体下降的风险。FRAT-up是基于正式本体论,招募一已知的风险因素,结合定量研究的优势比。 From such information, an automatic algorithm generates a rule-based probabilistic logic program, that is, a set of rules for each risk factor. The rule-based program takes the health profile of the subject (in terms of exposure to the risk factors) and computes the fall risk. A Web-based interface allows users to input health profiles and to visualize the risk assessment for the given subject. FRAT-up has been evaluated on the InCHIANTI Study dataset, a representative population-based study of older persons living in the Chianti area (Tuscany, Italy). We compared reported falls with predicted ones and computed performance indicators. Results: The obtained area under curve of the receiver operating characteristic was 0.642 (95% CI 0.614-0.669), while the Brier score was 0.174. The Hosmer-Lemeshow test indicated statistical significance of miscalibration. Conclusions: FRAT-up is a web-based tool for evaluating the fall risk of people aged 65 or up living in the community. Validation results of fall risks computed by FRAT-up show that its performance is comparable to externally validated state-of-the-art tools. A prototype is freely available through a web-based interface. Trial Registration: ClinicalTrials.gov NCT01331512 (The InChianti Follow-Up Study); http://clinicaltrials.gov/show/NCT01331512 (Archived by WebCite at http://www.webcitation.org/6UDrrRuaR). %M 25693419 %R 10.2196/jmir.4064 %U //www.mybigtv.com/2015/2/e41/ %U https://doi.org/10.2196/jmir.4064 %U http://www.ncbi.nlm.nih.gov/pubmed/25693419
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