Results 131 to 140 of about 5,071,401 (351)
Diagnosis Prevalence vs. Efficacy in Machine-learning Based Diagnostic Decision Support [PDF]
arXiv, 2020 Many recent studies use machine learning to predict a small number of ICD-9-CM codes. In practice, on the other hand, physicians have to consider a broader range of diagnoses. This study aims to put these previously incongruent evaluation settings on a more equal footing by predicting ICD-9-CM codes based on electronic health record properties and ...
arxiv
Molecular Oncology, EarlyView.CircCCNB1 expression is down‐regulated in nasopharyngeal carcinoma (NPC); thus, less NF90 protein is bound to circCCNB1 and more binds to pri‐miRNAs, blocking their (pri‐miRNAs) binding to DGCR8 and inhibiting the processing and generation of miR‐15b‐5p/miR‐7‐1‐3p. Furthermore, decreased miR‐15b‐5p/miR‐7‐1‐3p promotes the expression of the target genes
Chunmei Fan +6 more
wiley +1 more source
Brain magnetic resonance imaging predictors in anti‐N‐methyl‐D‐aspartate receptor encephalitis
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1974-1984, December 2022., 2022 Abstract Objective Brain magnetic resonance imaging (MRI) findings in anti‐N‐methyl‐D‐aspartate receptor (NMDAR) encephalitis are nonspecific and rarely have obvious associations with clinical characteristics and outcomes. This study aimed to comprehensively describe the MRI features of patients with NMDAR encephalitis, examine their associations with ...
Ying‐Ying Zhao +8 more
wiley +1 more source
A new method for deriving incidence rates from prevalence data and its application to dementia in Germany [PDF]
arXiv, 2011 This paper descibes a new method for deriving incidence rates of a chronic disease from prevalence data. It is based on a new ordinary differential equation, which relates the change in the age-specific prevalence to the agespecific incidence and mortality rates.
arxiv
Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value
Molecular Oncology, EarlyView.The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song +13 more
wiley +1 more source
Recognizing early MRI signs (or their absence) is crucial in diagnosing metachromatic leukodystrophy
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1999-2009, December 2022., 2022 Abstract Objectives Metachromatic leukodystrophy (MLD) has characteristic white matter (WM) changes on brain MRI, which often trigger biochemical and genetic confirmation of the diagnosis. In early or pre‐symptomatic disease stages, these typical MRI changes might be absent, hampering early diagnosis.
Daphne H. Schoenmakers +7 more
wiley +1 more source
Findings during screening colonoscopies in a Middle Eastern cohort
The Saudi Journal of Gastroenterology, 2019 Background/Aims: Colorectal cancer is the most common cancer in males and the third most common cancer in females. We aim to determine the polyp and adenoma prevalence in a cohort of patients who underwent opportunistic screening colonoscopies.
Majid A Almadi +5 more
doaj +1 more source
Indices for Prevalence and Incidence of Periodontal Disease [PDF]
, 1959 Sigurd P. Ramfjord
openalex +1 more source
Vaping Prevalence on College Campuses [PDF]
, 2020 Vaping Prevalence on College Campuses Purpose and Background/Significance: The college-aged demographic is especially at risk for adverse effects surrounding usage of electronic vaping devices given the deficit in published research regarding the use of ...
Kamp, Emma +7 more
core +1 more source