Results 101 to 110 of about 15,732,808 (382)

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Emotional intelligence: theory, research, measurement, applications, and controversies / Inteligência emocional: teoria, pesquisa, medida, aplicações e controvérsias

Psicologia: Reflexão e Crítica, 2009
Emotional Intelligence (EI) is a recent psychological construct, and also one of the most discussed aspects regarding intelligence. Moreover, it reflects the study of the interrelations between emotion and intelligence, which allows us to infer the ...
Carla Woyciekoski, Claudio Simon Hutz
doaj  

Enhancing Sustainable Social Banking Performance through Artificial Intelligence: A System Dynamics Analysis of Iranian Cooperative Banks [PDF]

Journal of Systems Thinking in Practice
With the expansion of innovative technologies, the banking industry has faced profound transformations. Artificial intelligence, as one of the most significant of these technologies, has the potential to transform the nature of banking services; however,
ramin khoshchehreh mohammadi, Mehrdad Hosseini Shakib, mahmood khodam, Ali Ramezani   +3 more
doaj   +1 more source

Migration Background and Educational Tracking: Is there a Double Disadvantage for Second-Generation Immigrants? [PDF]

Research on immigrants’ educational disadvantages largely focuses on differences in student achievement tests. Exploiting data from the German PIRLS extension, we find that second-generation immigrants face additional disadvantages with respect to grades
Elke Lüdemann, Guido Schwerdt
core  

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

The efficacy of working memory training in improving crystallized intelligence [PDF]

, 2009
Crystallized intelligence (Gc) is thought to reflect skills acquired through knowledge and experience and is related to verbal ability, language development^1^ and academic success^2^.
Ross Alloway, Tracy Alloway
core   +1 more source

Applying an Ethical Lens to the Treatment of People With Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The practice of neurology requires an understanding of clinical ethics for decision‐making. In multiple sclerosis (MS) care, there are a wide range of ethical considerations that may arise. These involve shared decision‐making around selection of a disease‐modifying therapy (DMT), risks and benefits of well‐studied medications in comparison to
Methma Udawatta, Farrah J. Mateen
wiley   +1 more source

The role of decision speed in the construct of intelligence [PDF]

Psihološka Obzorja, 2002
A theory of general intelligence in Spearman's sense has been frequently verified via two complementary approaches, the one using psychometric and the other using experimental methodology.
Valentin Bucik
doaj  

Publisher Correction to: Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology [PDF]

, 2022
André Homeyer, Christian Geißler, Lars Ole Schwen, Falk Zakrzewski, Theodore Evans, Klaus Strohmenger, Max Westphal, Roman D. Bülow, Michaela Kargl, Aray Karjauv, Isidre Munné-Bertran, Carl Orge Retzlaff, Adrià Romero-López, Tomasz Sołtysiński, Markus Plass, Rita Carvalho, Peter Steinbach, Yu-Chia Lan, Nassim Bouteldja, David Haber, Mateo Rojas-Carulla, Alireza Vafaei Sadr, Matthias Kraft, Daniel Krüger, Rutger Fick, Tobias Lang, Peter Boor, Heimo Müller, Peter Hufnagl, Norman Zerbe   +29 more
openalex   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source