[PDF][PDF] Imbalance Learning and Its Application on Medical Datasets

Y Shao - 2021 - ediss.uni-goettingen.de
To gain more valuable information from the increasing large amount of data, data mining
has been a hot topic that attracts growing attention in this two decades. One of the …

Bayesian Matrix Completion for Planning Diabetes Treatment Based on Urban Cases

J Chen, H Xu, M Liu, L Zhang - … of the 2022 International Conference on …, 2022 - dl.acm.org
For patients in the early stages of diabetes, it is crucial for patients and doctors to make
treatment decisions to prevent the condition from getting worse and developing …

High-throughput area-efficient processor for 3GPP LTE cryptographic core algorithms

Y Huo, D Liu - 2017 IEEE 28th International Conference on …, 2017 - computer.org
In this feasibility study, we demonstrate the use of a factorgraph-based probabilistic
graphical model approach to process longitudinal data derived from a population's …

Bayesian Matrix Completion for Ranking COVID-19 Cases

Y Cao, L Zhang - Fuzzy Systems and Data Mining IX, 2023 - ebooks.iospress.nl
Due to the surge in COVID-19 cases, hospitals have had to receive many more patients than
before, which has brought unprecedented pressure to the hospital system. Therefore, the …

Towards longitudinal analysis of a population's electronic health records using factor graphs

AP Athreya, KY Ngiam, Z Luo, ES Tai… - Proceedings of the 3rd …, 2016 - dl.acm.org
In this feasibility study, we demonstrate the use of a factor-graph-based probabilistic
graphical model approach to process longitudinal data derived from a population's …

Making augmented human intelligence in medicine practical: A case study of treating major depressive disorder

AP Athreya - 2019 - ideals.illinois.edu
Individualized medicine tailors diagnoses and treatment options on an individual patient
basis. This is a paradigm shift from choosing a treatment based on highest reported efficacy …