Detecting dengue fever in children using online Rasch analysis to develop algorithms for parents: An APP development and usability study.
Ting-Yun HuJulie Chi ChowTsair-Wei ChienWilly ChouPublished in: Medicine (2023)
The development of an LR-based APP for the detection of DF in children has been completed. To help patients, family members, and clinicians differentiate DF from other febrile illnesses at an early stage, an 11-item model is proposed for developing the APP.
Keyphrases
- early stage
- end stage renal disease
- young adults
- machine learning
- ejection fraction
- chronic kidney disease
- newly diagnosed
- social media
- peritoneal dialysis
- deep learning
- squamous cell carcinoma
- prognostic factors
- healthcare
- sentinel lymph node
- urinary tract infection
- loop mediated isothermal amplification
- patient reported
- patient reported outcomes
- lymph node
- aedes aegypti