A novel machine-learning-based infection screening system via 2013–2017 seasonal influenza patients' vital signs as training datasets
- 21 February 2019
- journal article
- letter
- Published by Elsevier BV in Journal of Infection
- Vol. 78 (5), 409-421
- https://doi.org/10.1016/j.jinf.2019.02.008
Abstract
No abstract availableThis publication has 8 references indexed in Scilit:
- Clinical Application of Multiple Vital Signs-Based Infection Screening System in a Mongolian Hospital: Optimization of Facial Temperature Measurement by Thermography at Various Ambient Temperature Conditions Using Linear Regression Analysis2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018
- Field evaluation of an infectious disease/fever screening radar system during the 2017 dengue fever outbreak in Hanoi, Vietnam: a preliminary reportJournal of Infection, 2017
- An infectious disease/fever screening radar system which stratifies higher-risk patients within ten seconds using a neural network and the fuzzy grouping methodJournal of Infection, 2014
- A Comparison of the Clinical and Epidemiological Characteristics of Adult Patients with Laboratory-Confirmed Influenza A or B during the 2011–2012 Influenza Season in Korea: A Multi-Center StudyPLOS ONE, 2013
- A novel infection screening method using a neural network and k-means clustering algorithm which can be applied for screening of unknown or unexpected infectious diseasesJournal of Infection, 2012
- A novel screening method for influenza patients using a newly developed non-contact screening systemJournal of Infection, 2010
- Comparison of decision tree methods for finding active objectsAdvances in Space Research, 2007
- Differences in clinical features between influenza A H1N1, A H3N2, and B in adult patientsRespirology, 2003