PREOPERATIVE PREDICTION AND RISK FACTOR IDENTIFICATION OF HOSPITAL LENGTH OF STAY FOR TOTAL JOINT ARTHROPLASTY PATIENTS USING MACHINE LEARNING

Preoperative Prediction and Risk Factor Identification of Hospital Length of Stay for Total Joint Arthroplasty Patients Using Machine Learning

Background: The aim of this study was to improve understanding of hospital length of stay (LOS) in patients undergoing total joint arthroplasty (TJA) in a high-efficiency, hospital-based pathway.Methods: We retrospectively reviewed 1401 consecutive primary and revision TJA patients across 67 patient and preoperative care characteristics from 2016 t

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A case study on the diagnosis and consequences of flash floods in south-western Romania: The upper basin of Desnatui River

The paper examines the flash floods that may appear in a representative river basin occupying the south-western Romania and also feature an example of the most recent flash flood from 2005-2006, more specifically, its causes and consequences.In order to accomplish the objectives, hydrological data were used to identify the characteristics of the fl

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AI Diffusion Model-Based Technology for Automating the Multi-Class Labeling of Electron Microscopy Datasets of Brain Cell Organelles for Their Augmentation and Synthetic Generation

A technology for the automatic multi-class labeling of brain electron microscopy (EM) objects needed to create large synthetic datasets, which could be used for brain cell segmentation tasks, is proposed.The main research tools were a generative diffusion AI model and a U-Net-like segmentation model.The technology was studied on the segmentation ta

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