Explainable early prediction of gestational diabetes biomarkers by combining medical background and wearable devices: A pilot study with a cohort group in South …

Ş Kolozali, SL White, S Norris, M Fasli… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
This study aims to explore the potential of Internet of Things (IoT) devices and explainable
Artificial Intelligence (AI) techniques in predicting biomarker values associated with GDM …

De-biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data

Z Zhong, J Li, S Kulkarni, H Zhang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Health disparities among marginalized populations with lower socioeconomic status
significantly impact the fairness and effectiveness of healthcare delivery. The increasing …

Viterbi Algorithm and HMM Implementation to Multicriteria Data-Driven Decision Support Model for Optimization of Medical Service Quality Selection

J Mizera-Pietraszko, J Tancula - International Conference on Advanced …, 2022 - Springer
Medical service quality is one of the major factors upon which Quality of Life Index is
calculated. In this paper, we propose a Multicriteria Data-Driven Decision Support (MDDDS) …

Explainable early prediction of gestational diabetes biomarkers by combining medical background and wearable devices: a pilot study with a cohort group in South …

S Norris, S Kolozali, SL White, M Fasli, A van Heerden - wiredspace.wits.ac.za
This study aims to explore the potential of Internet of Things (IoT) devices and explainable
Artificial Intelligence (AI) techniques in predicting biomarker values associated with GDM …

Information streaming systems: A review

J Mizera-Pietrasko, RR Jorge… - 2018 Innovations in …, 2018 - ieeexplore.ieee.org
Ubiquitous nature of information determines continuous decision making always based on
its stream coming from the environment, not only in the human, but also in the animal world …