Mochammad Andika Putra

Machine learning-based detection of underreported occupational injuries and diseases for sustainable occupational health surveillance in Indonesia

The study suggests that potential under-reporting within Indonesia's occupational surveillance system may involve not only missing cases but also limited diagnostic specificity and inconsistent disease attribution, as well as limited diagnostic specificity and inconsistent disease attribution.