A decision tree model for traffic accident prediction among food delivery riders in Thailand.

Objectives: Food delivery riders (FDRs) play a crucial role in the food delivery industry but face considerable challenges, including a rising number of traffic accidents. This study aimed to examine the incidence of traffic accidents and develop a decision tree model to predict the likelihood of traffic accidents among FDRs.

Methods: A cross-sectional study was conducted with 257 FDRs in Chiang Mai and Lampang Province, Thailand.

Prognostic Factors for Leptospirosis Infection Severity.

Background: Leptospirosis is an important health problem in Thailand. People infected with leptospirosis may not have any mild symptoms, whereas some people have acute and severe illnesses. It is crucial to strengthen critical patients' diagnosis and treatment to prevent severe complications and reduce mortality.

Validation of dengue infection severity score.

Objective: To validate a simple scoring system to classify dengue viral infection severity to patients in different settings.

Methods: The developed scoring system derived from 777 patients from three tertiary-care hospitals was applied to 400 patients in the validation data obtained from another three tertiary-care hospitals. Percentage of correct classification, underestimation, and overestimation was compared.

Development of dengue infection severity score.

Objectives. To develop a simple scoring system to predict dengue infection severity based on patient characteristics and routine clinical profiles. Methods.