Results 161 to 170 of about 13,070,920 (333)

A logistic regression approach to content-based mammogram retrieval [PDF]

open access: yes
Content-based image retrieval (CBIR) has been proposed to address the problem of image retrieval from medical image databases. Relevance feedback, explaining the user's query concept, can be used to bridge the semantic gap and improve the performance of ...
Wei, Chia-Hung, Li, Chang-Tsun
core  

Serum iron level is independently associated with sarcopenia: a retrospective study

open access: yesScientific Reports
Sarcopenia greatly reduces the quality of life of the elderly, and iron metabolism plays an important role in muscle loss. This study aimed to investigate the association between iron status and sarcopenia.
Meiying Huang   +9 more
doaj   +1 more source

Comparative performance of multiple novel obesity indices for MAFLD screening in Chinese children: the body roundness index as a practical predictor

open access: yesFrontiers in Medicine
In recent years, as childhood obesity rates soar globally, there has been a concomitant increase in the prevalence of metabolic dysfunction-associated fatty liver disease (MAFLD).
Minhao Fan   +8 more
doaj   +1 more source

Thalamo‐Lesional Connectivity Signatures of Bilateral Tonic–Clonic Seizures in Focal Cortical Dysplasia‐Related Epilepsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie   +8 more
wiley   +1 more source

Predicting tuberculosis progression in school contacts: novel host biomarkers for early risk assessment

open access: yesFrontiers in Cellular and Infection Microbiology
The low positive predictive value of tuberculin skin tests and interferon-γ release assays often results in unnecessary prophylaxis. This study aimed to identify antigen-specific biomarkers with high accuracy for predicting progression to active ...
Peng Lu   +10 more
doaj   +1 more source

Integration of Serum Neurofilament Light Chain and Cortical Dysfunction Improves Diagnostic Accuracy in ALS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether integration of serum neurofilament light chain (NfL) and cortical dysfunction improves diagnostic accuracy in amyotrophic lateral sclerosis (ALS) when applied alongside the Gold Coast criteria (GCC). Methods In this prospective study, 148 participants with suspected ALS were recruited (101 ALS and 47 with ALS ...
Aicee Dawn Calma   +16 more
wiley   +1 more source

Integrating Time‐Adjusted Imaging Instability Into Functional Outcome Prediction After Intracerebral Hemorrhage: Development and Validation of the HAGIV Score

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song   +10 more
wiley   +1 more source

The Multiple Sclerosis Severity Allele rs10191329A and Cognitive Function: A UK Biobank Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The genome‐wide association study of Multiple Sclerosis severity linked the genetic variant rs10191329A to long‐term disability and implicated brain resilience as a determinant of outcome. We hypothesised that rs10191329A might influence cognition in other neurological diseases and healthy controls.
Ioanna Zimianiti   +5 more
wiley   +1 more source

Construction of risk prediction model of postoperative urinary retention based on three machine learning algorithms

open access: yesHuli yanjiu
ObjectiveTo establish risk prediction model of postoperative urinary retention using decision tree,logistic regression and support vector machine and compare their performance,in order to provide references for evaluating and preventing urinary retention
LU Yu, JIANG Hui
doaj  

Construction and validation of a dynamic nomogram using Lasso-logistic regression for predicting the severity of severe fever with thrombocytopenia syndrome patients at admission

open access: yesBMC Infectious Diseases
Background Severe fever with thrombocytopenia syndrome (SFTS) is a highly fatal infectious disease caused by the SFTS virus (SFTSV), posing a significant public health threat.
Peng Xia   +8 more
doaj   +1 more source

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