Y Zhang, AG Parker, C Dunne - … of the 14th EAI international conference …, 2020 - dl.acm.org
Type 1 diabetes is a chronic illness that affects millions of people. People with type 1 diabetes regularly collect multidimensional data which they use to improve their well-being …
This research introduces MTViz, a novel hybrid visualisation recommender system leveraging machine learning models to predict data analysis tasks and rule-based heuristics …
T Scholich, S Raj, J Lee… - Journal of the American …, 2024 - academic.oup.com
Objectives To understand healthcare providers' experiences of using GlucoGuide, a mockup tool that integrates visual data analysis with algorithmic insights to support clinicians' use of …
Background Diabetes is a long-term disease characterized by high blood sugar and has risen as a public health problem globally. Exploring and analyzing diabetes data is a timely …
DA Duce, C Martin, A Russell, D Brown, A Aldea… - 2020 - diglib.eg.org
This article explores the role for visualization in interpreting data collected by a customised analytics framework within a healthcare technology project. It draws on the work of the EU …
This thesis is done in collaboration with FinnGen, an international research project that combines health record data from Finnish health registries with genetic data to better …
This article explores the role for visualization in interpreting data collected by a customised analytics framework within a healthcare technology project. It draws on the work of the EU …
Among clinical psychologists involved in guided internet-facilitated interventions, there is an overarching need to understand patients symptom development and learn about patients …
The increasing number of individuals suffering from Type 2 Diabetes Mellitus highlights the need for an effective tool for users to understand the relationship between their behaviors …