18 citations · 25 across the 5 of their papers we have counts for
5 papers
Managing Map Cardinality in Automatic Disease Classification Mapping: Balancing Precision, Recall and Coverage
Santosh Purja Pun, Oliver Obst, Jim Basilakis +1
Automatic mapping between disease classification systems, such as the International Classification of Diseases (ICD), is a challenging yet essential task for integrating health dat…
OMOP ETL Framework for Semi-Structured Health Data
Jacob Desmond, Ryan Wartmann, Chng Wei Lau +3
Healthcare data are generated in many different formats, which makes it difficult to integrate and reuse across institutions and studies. Standardisation is required to enable cons…
Evaluating Sensitivity Parameters in Smartphone-Based Gaze Estimation: A Comparative Study of Appearance-Based and Infrared Eye Trackers
Nishan Gunawardena, Gough Yumu Lui, Bahman Javadi +1
This study evaluates a smartphone-based, deep-learning eye-tracking algorithm by comparing its performance against a commercial infrared-based eye tracker, the Tobii Pro Nano. The…
Smartphone-based Eye Tracking System using Edge Intelligence and Model Optimisation
Nishan Gunawardena, Gough Yumu Lui, Jeewani Anupama Ginige +1
A significant limitation of current smartphone-based eye-tracking algorithms is their low accuracy when applied to video-type visual stimuli, as they are typically trained on stati…
A Systematic Literature Review of Automated ICD Coding and Classification Systems using Discharge Summaries
Rajvir Kaur, Jeewani Anupama Ginige, Oliver Obst
Codification of free-text clinical narratives have long been recognised to be beneficial for secondary uses such as funding, insurance claim processing and research. The current sc…