10 citations · 13 across the 3 of their papers we have counts for
3 papers
DICODerma: A practical approach for metadata management of images in dermatology
Bell Raj Eapen, Feroze Kaliyadan, Ashique Karalikkattil T
Clinical images are vital for diagnosing and monitoring skin diseases, and their importance has increased with the growing popularity of machine learning. Lack of standards has sti…
Serverless on FHIR: Deploying machine learning models for healthcare on the cloud
Bell Raj Eapen, Kamran Sartipi, Norm Archer
Machine Learning (ML) plays a vital role in implementing digital health. The advances in hardware and the democratization of software tools have revolutionized machine learning. Ho…
QRMine: A python package for triangulation in Grounded Theory
Bell Raj Eapen, Norm Archer, Kamran Sartipi
Grounded theory (GT) is a qualitative research method for building theory grounded in data. GT uses textual and numeric data and follows various stages of coding or tagging data fo…