7 citations · 20 across the 8 of their papers we have counts for
8 papers
Impact of Age Specialized Models for Hypoglycemia Classification
Beyza Cinar, Maria Maleshkova
Disease progression varies with age and is influenced by underlying genetic, biochemical, and hormonal etiologies, suggesting the need for tailored monitoring, care, and medication…
Towards Improved Short-term Hypoglycemia Prediction and Diabetes Management based on Refined Heart Rate Data
Vaibhav Gupta, Florian Grensing, Beyza Cinar +2
Hypoglycemia is a severe condition of decreased blood glucose, specifically below 70 mg/dL (3.9 mmol/L). This condition can often be asymptomatic and challenging to predict in indi…
A Review on Machine Learning Approaches for the Prediction of Glucose Levels and Hypogylcemia
Beyza Cinar, Louisa van den Boom, Maria Maleshkova
Type 1 Diabetes (T1D) is an autoimmune disease leading to insulin insufficiency. Thus, patients require lifelong insulin therapy, which has a side effect of hypoglycemia. Hypoglyce…
A Proposed Paradigm for Imputing Missing Multi-Sensor Data in the Healthcare Domain
Vaibhav Gupta, Florian Grensing, Beyza Cinar +1
Chronic diseases such as diabetes pose significant management challenges, particularly due to the risk of complications like hypoglycemia, which require timely detection and interv…
Benchmarking ResNet for Short-Term Hypoglycemia Classification with DiaData
Beyza Cinar, Maria Maleshkova
Individualized therapy is driven forward by medical data analysis, which provides insight into the patient's context. In particular, for Type 1 Diabetes (T1D), which is an autoimmu…
Stress Detection from Multimodal Wearable Sensor Data
Paul Schreiber, Beyza Cinar, Lennart Mackert +1
Human-Computer Interaction (HCI) is a multi-modal, interdisciplinary field focused on designing, studying, and improving the interactions between people and computer systems. This…
Presenting DiaData for Research on Type 1 Diabetes
Beyza Cinar, Maria Maleshkova
Type 1 diabetes (T1D) is an autoimmune disorder that leads to the destruction of insulin-producing cells, resulting in insulin deficiency, as to why the affected individuals depend…
Deep Learning-Based Hypoglycemia Classification Across Multiple Prediction Horizons
Beyza Cinar, Jennifer Daniel Onwuchekwa, Maria Maleshkova
Type 1 diabetes (T1D) management can be significantly enhanced through the use of predictive machine learning (ML) algorithms, which can mitigate the risk of adverse events like hy…