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Digital transformation project risks assessment using hybrid picture fuzzy distance measure-based additive ratio assessment method.
Sci Rep
January 2025
Institute of Mechanical Science, Vilnius Gediminas Technical University, Vilnius, 10105, Lithuania.
Digital transformation (DT) has become vital for companies trying to remain competitive in the recent ever-changing technological environment. DT is the integration of digital technologies into all disciplines of business from regular activities to strategic decision making. Risk management planning requires projects to assess possible risks that may negatively or positively affect a DT project.
View Article and Find Full Text PDFClassifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study.
JMIR Med Inform
January 2025
School of Social Policy & Practice, University of Pennsylvania, Philadelphia, PA, United States.
Background: Prediction models have demonstrated a range of applications across medicine, including using electronic health record (EHR) data to identify hospital readmission and mortality risk. Large language models (LLMs) can transform unstructured EHR text into structured features, which can then be integrated into statistical prediction models, ensuring that the results are both clinically meaningful and interpretable.
Objective: This study aims to compare the classification decisions made by clinical experts with those generated by a state-of-the-art LLM, using terms extracted from a large EHR data set of individuals with mental health disorders seen in emergency departments (EDs).
Dose measurements with the Pille-ISS thermoluminescent dosimeter system during extravehicular activities (2004-2022).
Life Sci Space Res (Amst)
February 2025
Institute of Biomedical Problems of the Russian Academy of Sciences, 76A Khoroshevskoye shosse, 123007, Moscow, Russian Federation.
One of the most problematic goals for radiation safety during spaceflight is an assessment of additional doses received by astronauts during extravehicular activity (EVA). The Pille-ISS thermoluminescent dosimeter developed by the predecessor of the Hungarian Research Network (HUN-REN) Centre for Energy Research (Budapest, Hungary) is designed for the routine dose measurements not only inside the spacecraft compartments, but also for personal dosimetric control for EVA. During almost two decades of the International Space Station (ISS) operation, the unique set of 131 EVA doses were recorded in different conditions, such as: solar activity, ISS trajectory along the South Atlantic Anomaly (SAA), and shielding conditions provided by two kinds of spacesuits: the Extravehicular Mobility Unit (EMU) and Orlan.
View Article and Find Full Text PDF[Investigation of the Influence of Image Reconstruction Parameters to Improve the Ability to Depict Internal Tumor Necrosis].
Nihon Hoshasen Gijutsu Gakkai Zasshi
January 2025
Department of Radiology, Nara Prefecture General Medical Center.
Purpose: There are attempts to assess tumor heterogeneity by texture analysis. However, the ordered subsets-expectation maximization (OSEM) reconstruction method has problems depicting heterogeneities. The aim of this study was to identify image reconstruction parameters that improve the ability to depict internal tumor necrosis using a self-made phantom that simulates internal necrosis.
View Article and Find Full Text PDFMulti-view learning with enhanced multi-weight vector projection support vector machine.
Neural Netw
January 2025
School of Management, Shanghai University of International Business and Economics, Shanghai 201620, China. Electronic address:
Multi-view learning aims on learning from the data represented by multiple distinct feature sets. Various multi-view support vector machine methods have been successfully applied to classification tasks. However, the existed methods often face the problems of long processing time or weak generalization on some complex datasets.
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