WCSE

Decision Support System and Health Analytics for Pediatric Tuberculosis Clinical Diagnosis

Abstract— Tuberculosis (TB) is an airborne disease that can be spread from person to person. Children that are below 15 years old (also known as Pediatric Tuberculosis) have high probability to develop life threatening disease and the most substantial number of TB cases are observed in children younger than five years of age and adolescents older than ten years of age. The focus of this research is how the technology innovation was designed and developed to help doctors, nurses, and other healthcare professionals make better data driven decisions, optimize its current TB clinical diagnostic practices, and improve its process on determining the eligibility for TB Preventive Treatment (TPT).

Index Terms— Clinical Decision Support System, Health Analytics, Pediatric Tuberculosis

Michelle Renee Ching
De La Salle University, PHILIPPINES
Maria Marissa Golla
De La Salle Medical and Health Sciences Institute, PHILIPPINES
Virgilio Linis
DLSU Animo Labs Foundation Inc., PHILIPPINES
Oliver Malabanan
De La Salle University, PHILIPPINES
Matthew Intervalo
De La Salle University, PHILIPPINES
Miguel Josh Perez
De La Salle University, PHILIPPINES
Carlo Jose Reyes
De La Salle University, PHILIPPINES
Jerrick Ezekiel Santos
De La Salle University, PHILIPPINES
John Ernand Veleta
De La Salle Medical and Health Sciences Institute, PHILIPPINES

[Download]

Cite: Michelle Renee Ching, Maria Marissa Golla, Virgilio Linis, Oliver Malabanan, RaymondMatthew Intervalo, Miguel Josh Perez, Carlo Jose Reyes, Jerrick Ezekiel Santos, John Ernand Veleta, "Decision Support System and Health Analytics for Pediatric Tuberculosis Clinical Diagnosis," 2024 The 14th International Workshop on Computer Science and Engineering (WCSE 2024), pp. 74-80, Phuket Island, Thailand, June 19-21, 2024.