Unknown

Dataset Information

0

Machine Learning Algorithms for Risk Prediction of Severe Hand-Foot-Mouth Disease in Children.

ABSTRACT: The identification of indicators for severe HFMD is critical for early prevention and control of the disease. With this goal in mind, 185 severe and 345 mild HFMD cases were assessed. Patient demographics, clinical features, MRI findings, and laboratory test results were collected. Gradient boosting tree (GBT) was then used to determine the relative importance (RI) and interaction effects of the variables. Results indicated that elevated white blood cell (WBC) count?>?15?×?109/L (RI: 49.47, p?

SUBMITTER: Zhang B 

PROVIDER: S-EPMC5511270 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

Json Xml
altmetric image

Publications

The identification of indicators for severe HFMD is critical for early prevention and control of the disease. With this goal in mind, 185 severe and 345 mild HFMD cases were assessed. Patient demographics, clinical features, MRI findings, and laboratory test results were collected. Gradient boosting tree (GBT) was then used to determine the relative importance (RI) and interaction effects of the variables. Results indicated that elevated white blood cell (WBC) count > 15 × 10<sup>9</sup>/L (RI:  ...[more]

Similar Datasets

Unknown Developing a Machine Learning System for Identification of Severe Hand, Foot, and Mouth Disease from Electronic Medical Record Data.
| S-EPMC5703994 | biostudies-literature
Transcriptomics MicroRNA of exosome in Hand, foot and mouth disease serum samples
2013-11-27 | E-GEOD-52780 | biostudies-arrayexpress
Unknown Co-detection in the pathogenesis of severe hand-foot-mouth disease.
| S-EPMC3488190 | biostudies-literature
Unknown Risk Factors for Severe Hand-Foot-Mouth Disease in China: A Systematic Review and Meta-Analysis.
| S-EPMC8631475 | biostudies-literature
Genomics MicroRNA of exosome in Hand, foot and mouth disease serum samples
2013-11-27 | GSE52780 | GEO
Unknown Identification of immune and metabolic predictors of severe hand-foot-mouth disease.
| S-EPMC6532886 | biostudies-literature
Unknown Regional-level risk factors for severe hand-foot-and-mouth disease: an ecological study from mainland China.
| S-EPMC7792012 | biostudies-literature
Unknown Predicting Severe Enterovirus 71-Infected Hand, Foot, and Mouth Disease: Cytokines and Chemokines.
| S-EPMC7013319 | biostudies-literature
Unknown Complete Genome Sequences of Four Coxsackievirus A16 Strains Isolated from Four Children with Severe Hand, Foot, and Mouth Disease.
| S-EPMC5543651 | biostudies-literature
Unknown Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms.
| S-EPMC5831789 | biostudies-literature