Results 91 to 100 of about 5,778,654 (336)

Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient\n Algorithms [PDF]

, 2021
Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada   +1 more
openalex   +1 more source

Persistent Leukoencephalopathy Following H1N1 Infection Associated With a Novel MYRF Variant (p.Gly735Asp)

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Mutations in myelin regulatory factor (MYRF) are linked to demyelinating disorders. We report a 38‐year‐old male who developed acute symmetric leukoencephalopathy mimicking a stroke following an influenza A virus infection. While clinical symptoms markedly improved with corticosteroids, MRI revealed persistent white matter lesions, contrasting
Jinghan Hu, Leiyun Huang, Wan Zhu, Min Peng, Qiang Gong, Jing Qian   +5 more
wiley   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu, Yinjiao Fei, Jiaxuan Ding, Kexin Shi, Jinyan Luo, Yuchen Zhu, Xingjian Sun, Gefei Jiang, Yuandong Cao, Weilin Xu, Shu Zhou   +10 more
wiley   +1 more source

A New Algorithm for Optimization of Fuzzy Decision Tree in Data Mining [PDF]

Journal of Optimization in Industrial Engineering, 2011
Decision-tree algorithms provide one of the most popular methodologies for symbolic knowledge acquisition. The resulting knowledge, a symbolic decision tree along with a simple inference mechanism, has been praised for comprehensibility.
Abolfazl Kazemi, Elahe Mehrzadegan
doaj  

Hip Morphology–Based Osteoarthritis Risk Prediction Models: Development and External Validation Using Individual Participant Data From the World COACH Consortium

Arthritis Care &Research, EarlyView.
Objective 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 Worldwide Collaboration ...
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

Modelo de suporte à decisão aplicado à identificação de indivíduos não aderentes ao tratamento anti-hipertensivo

Saúde em Debate
Objetivou-se desenvolver um modelo de apoio à tomada de decisão para identificar indivíduos não aderentes ao tratamento anti-hipertensivo. Propõe-se a utilização de árvore de decisão sobre um banco de dados de adesão ao tratamento envolvendo 118 usuários
Amira Rose Costa Medeiros, Yana Balduíno de Araújo, Rodrigo Pinheiro de Toledo Vianna, Ronei Marcos de Moraes   +3 more
doaj   +1 more source

Reinforced Decision Trees

, 2015
In order to speed-up classification models when facing a large number of categories, one usual approach consists in organizing the categories in a particular structure, this structure being then used as a way to speed-up the prediction computation.
Denoyer, Ludovic, Léon, Aurélia
core   +1 more source

Cost‐Effectiveness of Low‐Dose Colchicine Prophylaxis When Starting Allopurinol Using the “Start‐Low Go‐Slow” Approach for Gout: Evidence From a Noninferiority Randomized Double‐Blind Placebo‐Controlled Trial

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to investigate the cost‐effectiveness of low‐dose colchicine prophylaxis for preventing gout flares when starting allopurinol using the “start‐low go‐slow” approach. Methods Participants with gout, fulfilling the American College of Rheumatology recommendations for starting urate‐lowering therapy and with serum urate
Yana Pryymachenko, Ross Wilson, Nicola Dalbeth, J. Haxby Abbott, Lisa Stamp   +4 more
wiley   +1 more source

A Machine learning approach to POS tagging [PDF]

, 1997
We have applied inductive learning of statistical decision trees and relaxation labelling to the Natural Language Processing (NLP) task of morphosyntactic disambiguation (Part Of Speech Tagging).
Màrquez Villodre, Lluís, Padró, Lluís, Rodríguez Hontoria, Horacio   +2 more
core   +1 more source