APA (7th ed.) Citation

A, T. K., S, P., S, T., & B, C. (2026). Dharma: A novel, clinically grounded machine learning framework for pediatric appendicitis-Diagnosis, severity assessment and evidence-based clinical decision support. PLOS digital health, 5(1), e0000908. https://doi.org/10.1371/journal.pdig.0000908

Chicago Style (17th ed.) Citation

A, Thapa Kshetri, Pahari S, Timilsina S, and Chapagain B. "Dharma: A Novel, Clinically Grounded Machine Learning Framework for Pediatric Appendicitis-Diagnosis, Severity Assessment and Evidence-based Clinical Decision Support." PLOS Digital Health 5, no. 1 (2026): e0000908. https://doi.org/10.1371/journal.pdig.0000908.

MLA (9th ed.) Citation

A, Thapa Kshetri, et al. "Dharma: A Novel, Clinically Grounded Machine Learning Framework for Pediatric Appendicitis-Diagnosis, Severity Assessment and Evidence-based Clinical Decision Support." PLOS Digital Health, vol. 5, no. 1, 2026, p. e0000908, https://doi.org/10.1371/journal.pdig.0000908.