D Newton, J Stephenson, L Azevedo, R K Sah, A N Poudel, O Richardson
The impact of social determinants on health outcomes in a region in the North of England: a structural equation modelling analysis
Public health
dengue epidemics impose considerable strain healthcare resources realtime continuous noninvasive monitoring patients admitted hospital could lead improved care outcomes evaluated performance commercially available wearable smartcare utilising photoplethysmography ppg stratify clinical risk cohort hospitalised patients dengue vietnam performed prospective observational study adult paediatric patients clinical diagnosis dengue hospital tropical disease ho chi minh city vietnam patients underwent ppg monitoring early admission alongside standard clinical care ppg waveforms analysed using machine learning models adult patients classified 3 severity classes uncomplicated wardbased ii moderatesevere emergency departmentbased iii severe icubased data paediatric patients split 2 classes severe icu stay ii followup 1421 days illness onset model performances evaluated using standard classification metrics 5fold stratified crossvalidation included ppg clinical data 132 adults 15 paediatric patients median age 28 iqr 2135 12 iqr 913 years respectively 1781 h ppg data available analysis best performing convolutional neural network models cnn achieved precision 0785 recall 0771 classifying adult patients according severity class precision 0891 recall 0891 classifying disease postdisease state paediatric patients demonstrate use lowcost wearable provided clinically actionable data differentiate patients dengue varying severity continuous monitoring connectivity early warning systems could significantly benefit clinical care dengue particularly within endemic setting work currently underway implement models dynamic risk predictions assist individualised patient care epsrc centre doctoral training highperformance embedded distributed systems hipeds grant epl0167961 wellcome trust grants 215010z18z 215688z19z