Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence

C Anderson, Z Bekele, Y Qiu, D Tschannen… - BMC Medical Informatics …, 2021 - Springer
Background Hospital-acquired pressure injuries (PIs) induce significant patient suffering,
inflate healthcare costs, and increase clinical co-morbidities. PIs are mostly due to bed …

Classifying migraine using PET compressive big data analytics of brain's μ-opioid and D2/D3 dopamine neurotransmission

S Marino, H Jassar, DJ Kim, M Lim… - Frontiers in …, 2023 - frontiersin.org
Introduction: Migraine is a common and debilitating pain disorder associated with
dysfunction of the central nervous system. Advanced magnetic resonance imaging (MRI) …

[图书][B] Data science: Time complexity, inferential uncertainty, and spacekime analytics

ID Dinov, MV Velev - 2021 - books.google.com
The amount of new information is constantly increasing, faster than our ability to fully
interpret and utilize it to improve human experiences. Addressing this asymmetry requires …

[HTML][HTML] Adapting the open-source Gen3 platform and kubernetes for the NIH HEAL IMPOWR and MIRHIQL clinical trial data commons: Customization, cloud transition …

MCB Adams, C Griffin, H Adams, S Bryant… - Journal of Biomedical …, 2024 - Elsevier
Objective This study aims to provide the decision-making framework, strategies, and
software used to successfully deploy the first combined chronic pain and opioid use data …

[HTML][HTML] A Simple Machine Learning-Based Quantitative Structure–Activity Relationship Model for Predicting pIC50 Inhibition Values of FLT3 Tyrosine Kinase

JJ Alcázar, I Sánchez, C Merino, B Monasterio… - Pharmaceuticals, 2025 - mdpi.com
Background/Objectives: Acute myeloid leukemia (AML) presents significant therapeutic
challenges, particularly in cases driven by mutations in the FLT3 tyrosine kinase. This study …

Big Data Driven Mental Health Assessment Model for College Students

Z Min - 2022 International Conference on Knowledge …, 2022 - ieeexplore.ieee.org
The big data-driven mental health assessment model for college students is a new concept,
which will be used to assess the mental health of college students. This is an open source …

Kimesurface representation and tensor linear modeling of longitudinal data

R Zhang, Y Zhang, Y Liu, Y Guo, Y Shen… - Neural Computing and …, 2022 - Springer
Many modern techniques for analyzing time-varying longitudinal data rely on parametric
models to interrogate the time-courses of univariate or multivariate processes. Typical …

[图书][B] Dictionnaire du numérique

M Cauli, L Favier, JY Jeannas - 2022 - books.google.com
«Ère du numérique»,«société numérique»,«civilisation numérique», nombreuses sont les
expressions utilisées pour qualifier ce qui est vécu comme une transformation culturelle …

Data Curation and Optimization Techniques: A Systematic Mapping Study

JAA Ferreira, MA Musicante… - Authorea …, 2022 - advance.sagepub.com
We develop a Systematic Mapping Study to observe trends and research opportunities
around the concepts and techniques used in Data Curation for Big Data. Our work …

Also of Interest

M Dehmer, S Moutari, F Emmert-Streib, IO Cherednikov… - degruyter.com
Acquiring information, processing data, assessing risk, and projecting forecasts in space
and time have always paralleled human evolution and the ever-changing social dynamics …