Bronchiectasis in COPD patients: more than a comorbidity? [Corrigendum]Martinez-Garcia MA, Miravitlles M.Int J soderhamn ottoman cover Chron Obstruct Pulmon Dis.2017;12:1401–1411.Page 1409, Disclosure, the text “The authors report no conflicts of interest in this work” should read “MM has received speaker fees
A significant research challenge in data mining and machine learning is class imbalance classification since the majority of real-world datasets are imbalanced.When the dataset is highly unbalanced, the majority of available classification techniques frequently underperform on minority-class cases.This is due to the fact that they disregard the col
Anomaly detection of high-dimensional data is a challenge because the sparsity of the data distribution caused by high dimensionality hardly provides rich information distinguishing anomalous instances from normal instances.To address this, this article proposes an anomaly detection method combining an autoencoder and a sparse weighted least square
Abstract Background Recently, numerous studies have revealed an increase in complementary and alternative medicine (CAM) use in US civilian populations.In contrast, few studies have examined CAM use within military populations, which have ready access to conventional moen rothbury faucet medicine.Currently, the prevalence and impact of CAM use in U
Triage is the most important requirement of Mass Casualty Incident (MCI) where monitoring the vital signs of casualty is the crucial aspect to assess the severity of their current medical conditions.One of the most significant challenges in the triage center is to provide effective remote monitoring of vital signs of mass casualties.To overcome thi