首页|AIT Austrian Institute of Technology GmbH Reports Findings in Telemedicine (Instance Selection Algorithms for Predictive Modelling in Telehealth Applications)
AIT Austrian Institute of Technology GmbH Reports Findings in Telemedicine (Instance Selection Algorithms for Predictive Modelling in Telehealth Applications)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
New research on Telemedicine is the subject of a report. According to news reporting from Graz, Austria, by NewsRx journalists, research stated, “Telehealth services are becoming more and more popular, leading to an increasing amount of data to be monitored by health professionals. Machine learning can support them in managing these data.” The news correspondents obtained a quote from the research from the AIT Austrian Institute of Technology GmbH, “Therefore, the right machine learning algorithms need to be applied to the right data. We have implemented and validated different algorithms for selecting optimal time instances from time series data derived from a diabetes telehealth service. Intrinsic, supervised, and unsupervised instance selection algorithms were analysed. Instance selection had a huge impact on the accuracy of our random forest model for dropout prediction. The best results were achieved with a One Class Support Vector Machine, which improved the area under the receiver operating curve of the original algorithm from 69.91 to 75.88 %.”
NETL
NSTL
