Predicting Severe Asthma Exacerbations in Children [PDF]
American Journal of Respiratory and Critical Care Medicine, 2017 Severe exacerbations negatively impact the quality of life and education of children with asthma, while also causing substantial healthcare costs. Preventing severe asthma exacerbations requires identifying patients at high risk, in order to develop personalized care protocols to prevent such exacerbations.
Sandeep Puranik +3 more
openaire +4 more sources
Trauma Early Mortality Prediction Tool (TEMPT) for assessing 28-day mortality. [PDF]
, 2018 Background:Prior mortality prediction models have incorporated severity of anatomic injury quantified by Abbreviated Injury Severity Score (AIS). Using a prospective cohort, a new score independent of AIS was developed using clinical and laboratory ...
Callcut, Rachael A +3 more
core +1 more source
Genomic prediction and quantitative trait locus discovery in a cassava training population constructed from multiple breeding stages [PDF]
, 2020 Open Access Article; Published online: 11 Dec 2019Assembly of a training population (TP) is an important component of effective genomic selection‐based breeding programs.
Egesi, C. +11 more
core +1 more source
Expanded CURB-65: A new score system predicts severity of community-acquired pneumonia with superior efficiency [PDF]
, 2016 Aim of this study was to develop a new simpler and more effective severity score for communityacquired pneumonia (CAP) patients. A total of 1640 consecutive hospitalized CAP patients in Second Affiliated Hospital of Zhejiang University were included ...
Dong, Xiao Jun +11 more
core +1 more source
Changes in structural network topology correlate with severity of hallucinatory behavior in Parkinson's disease [PDF]
, 2019 Inefficient integration between bottom-up visual input and higher order visual processing regions is implicated in visual hallucinations in Parkinson's disease (PD). Here, we investigated white matter contributions to this perceptual imbalance hypothesis.
Hall, Julie +7 more
core +2 more sources
Hypertriglyceridaemia-Induced Acute Pancreatitis: A Different Disease Phenotype
Diagnostics, 2022 Acute pancreatitis (AP) is the most common gastrointestinal indication requiring hospitalisation. Severe hypertriglyceridaemia (HTG) is the third most common aetiology of AP (HTGAP), with a complication rate and severity that are higher than those of ...
Greta Dancu +5 more
doaj +1 more source
Learning to rank from medical imaging data [PDF]
, 2012 Medical images can be used to predict a clinical score coding for the severity of a disease, a pain level or the complexity of a cognitive task. In all these cases, the predicted variable has a natural order.
F. Pedregosa +11 more
core +4 more sources
Deep Neural Network-Based Severity Prediction of Bug Reports
IEEE Access, 2019 Software maintenance is an essential phase of software development. Developers employ issue tracking systems to collect bugs for software improvement. Users submit bugs through such issue tracking systems and decide the severity of reported bugs.
Waheed Yousuf Ramay +4 more
doaj +1 more source
Clinical and Translational Medicine, 2022 Background Acute pancreatitis (AP) is a potentially severe or even fatal inflammation of the pancreas. Early identification of patients at high risk for developing a severe course of the disease is crucial for preventing organ failure and death.
Balázs Kui +46 more
doaj +1 more source
Severity Prediction for Bug Reports Using Multi-Aspect Features: A Deep Learning Approach
Mathematics, 2021 The severity of software bug reports plays an important role in maintaining software quality. Many approaches have been proposed to predict the severity of bug reports using textual information.
Anh-Hien Dao, Cheng-Zen Yang
doaj +1 more source