Dharma: A novel, clinically grounded machine learning framework for pediatric appendicitis-Diagnosis, severity assessment and evidence-based clinical decision support.
Saved in:
| Title: | Dharma: A novel, clinically grounded machine learning framework for pediatric appendicitis-Diagnosis, severity assessment and evidence-based clinical decision support. |
|---|---|
| Authors: | Thapa Kshetri A; Department of Emergency Medicine and General Practice, Matri-Sishu Miteri Provincial Hospital, Pokhara, Gandaki, Nepal., Pahari S; Department of Computer Engineering, Faculty of Science and Technology, Pokhara University, Pokhara, Gandaki, Nepal., Timilsina S; Department of Emergency Medicine and General Practice, Matri-Sishu Miteri Provincial Hospital, Pokhara, Gandaki, Nepal., Chapagain B; Department of Critical Care Medicine, Tribhuvan University Teaching Hospital, Kathmandu, Bagmati, Nepal. |
| Source: | PLOS digital health [PLOS Digit Health] 2026 Jan 21; Vol. 5 (1), pp. e0000908. Date of Electronic Publication: 2026 Jan 21 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: PLOS Country of Publication: United States NLM ID: 9918335064206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2767-3170 (Electronic) Linking ISSN: 27673170 NLM ISO Abbreviation: PLOS Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2767-3170 |
|---|---|
| DOI: | 10.1371/journal.pdig.0000908 |
