Results 81 to 90 of about 1,169,808 (377)

Hip morphology‐based osteoarthritis risk prediction models: development and external validation using individual participant data from the World COACH Consortium

Arthritis Care &Research, Accepted Article.
Objectives This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the World COACH consortium ...
Myrthe A. van den Berg, Fleur Boel, Michiel M.A. van Buuren, Noortje S. Riedstra, Jinchi Tang, Harbeer Ahedi, Nigel K. Arden, Sita M.A. Bierma‐Zeinstra, Cindy G. Boer, Flavia M. Cicuttini, Timothy F. Cootes, David T. Felson, Willem Paul Gielis, Joshua Heerey, Graeme Jones, Stefan Kluzek, Nancy E. Lane, Claudia Lindner, Joyce B.J. van Meurs, Andrea Mosler, Amanda E. Nelson, Michael C. Nevitt, Edwin H. Oei, Jos Runhaar, Harrie Weinans, Jesse H. Krijthe, Rintje Agricola   +26 more
wiley   +1 more source

PREDICT LEARNERS’ PERFORMANCE USING AN ONTOLOGICAL-BASED MODEL ON AN E-LEARNING PLATFORM

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
In learning analytics and educational data mining, a prominent challenge is posed by the lack of portability and transferability of predictive models across different courses.
Safa Ridha Albo Abdullah
doaj   +1 more source

Determining the Need for Computed Tomography Scan Following Blunt Chest Trauma through Machine Learning Approaches

Archives of Academic Emergency Medicine, 2021
Introduction: The use of computed tomography (CT) scan is essential for making diagnoses for trauma patients in emergency medicine. Numerous studies have been conducted on guiding medical examinations in light of advances in machine learning, leading to ...
Mohsen Shahverdy, Hamed Malek
doaj   +1 more source

Exploring patients’ profiles associated with the resolution of acute calcium pyrophosphate arthritis treatedwith colchicine and prednisone: post hoc analysis of a randomized controlled trial

Arthritis Care &Research, Accepted Article.
Objective The objective was to identify factors determining acute arthritis resolution and safety with colchicine and prednisone in acute calcium pyrophosphate (CPP) crystal arthritis. Methods We conducted a post hoc analysis of the COLCHICORT trial, which compared colchicine and prednisone for the treatment of acute CPP crystal arthritis, using a ...
Tristan Pascart, Laurène Norberciak, Pascal Richette, Pierre Robinet, Aurore Pacaud, Gauthier Marchasson, Thibault Rabin, Hélène Luraschi, Pierre Maciejasz, Anne‐France Georgel, Augustin Latourte, Hang‐Korng Ea, Sébastien Ottaviani, Charlotte Jauffret, Vincent Ducoulombier   +14 more
wiley   +1 more source

Decision Tree-Based Ensemble Model for Predicting National Greenhouse Gas Emissions in Saudi Arabia

Applied Sciences, 2023
Greenhouse gas (GHG) emissions must be precisely estimated in order to predict climate change and achieve environmental sustainability in a country.
Muhammad Muhitur Rahman, Md Shafiullah, Md Shafiul Alam, Mohammad Shahedur Rahman, Mohammed Ahmed Alsanad, Mohammed Monirul Islam, Md Kamrul Islam, Syed Masiur Rahman   +7 more
doaj   +1 more source

GENESIM : genetic extraction of a single, interpretable model [PDF]

, 2016
Models obtained by decision tree induction techniques excel in being interpretable.However, they can be prone to overfitting, which results in a low predictive performance. Ensemble techniques are able to achieve a higher accuracy. However, this comes at
De Turck, Filip, Janssens, Olivier, Ongenae, Femke, Van Hoecke, Sofie, Vandewiele, Gilles   +4 more
core   +2 more sources

Multi-test Decision Tree and its Application to Microarray Data Classification [PDF]

, 2014
Objective: The desirable property of tools used to investigate biological data is easy to understand models and predictive decisions. Decision trees are particularly promising in this regard due to their comprehensible nature that resembles the ...
Armstrong, Berzal, Breiman, Breiman, Breiman, Brodley, Brown, Brown, Che, Chen, Cohen, Cordell, Cowell, Czajkowski, Demsar, Dettling, Diaz-Uriarte, Dramiński, Fayyad, Freund, Freund, Ge, Golub, Grześ, Hall, Hastie, Hu, Kuo, Li, Marcin Czajkowski, Marek Grześ, Marek Kretowski, Murthy, Murthy, Pagallo, Qu, Quinlan, Robnik-Siikonja, Rokach, Rokach, Sebastiani, Shalev-Shwartz, Shi, Tan, Tan, Wold, Yeoh   +46 more
core   +1 more source

Active Learning Embedded in Incremental Decision Trees

, 2020
As technology evolves and electronic devices become widespread, the amount of data produced in the form of stream increases in enormous proportions. Data streams are an online source of data, meaning that it keeps producing data continuously. This creates the need for fast and reliable methods to analyse and extract information from these sources ...
Vinicius Eiji Martins, Victor G. Turrisi da Costa, Sylvio Barbon Junior   +2 more
openaire   +2 more sources

A Bayesian Approach to Optimizing Stem Cell Cryopreservation protocols

, 2014
Cryopreservation is beset with the challenge of protocol alignment across a wide range of cell types and process variables. By taking a cross-sectional assessment of previously published cryopreservation data (sample means and standard errors) as ...
Sambu, S
core   +1 more source

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

Advanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed, Adam J. López‐Denman, Prasad N. Paradkar, Asim Bhatti   +3 more
wiley   +1 more source