Estimating Bayesian Diagnostic Models with Attribute Hierarchies with the Hamiltonian-Gibbs Hybrid Sampler
Sign Up to like & getrecommendations! Published in 2023 at "Multivariate Behavioral Research"
DOI: 10.1080/00273171.2022.2160950
Abstract: Bayesian estimation of diagnostic models (B-DMs) has grown in popularity in recent years. Common estimation approaches for B-DMs include Gibbs sampling (GS), Metropolis–Hastings, and Hamiltonian Monte Carlo (HMC). The latter has been lauded for its… read more here.
Keywords: diagnostic models; sampler; parameter recovery; gibbs ... See more keywords
Diagnostic models predicting paediatric viral acute respiratory infections: a systematic review
Sign Up to like & getrecommendations! Published in 2023 at "BMJ Open"
DOI: 10.1136/bmjopen-2022-067878
Abstract: Objectives To systematically review and evaluate diagnostic models used to predict viral acute respiratory infections (ARIs) in children. Design Systematic review. Data sources PubMed and Embase were searched from 1 January 1975 to 3 February… read more here.
Keywords: respiratory infections; review; systematic review; diagnostic models ... See more keywords
Mining Potential Drug Targets and Constructing Diagnostic Models for Heart Failure Based on miRNA-mRNA Networks
Sign Up to like & getrecommendations! Published in 2022 at "Mediators of Inflammation"
DOI: 10.1155/2022/9652169
Abstract: Heart failure (HF) is a globally prevalent cardiovascular disease, but effective drug targets and diagnostic models are still lacking. This study was designed to investigate effective drug targets and diagnostic models for HF in terms… read more here.
Keywords: heart failure; signaling pathway; diagnostic models; drug ... See more keywords
Diagnosing Chinese EFL learners’ writing ability using polytomous cognitive diagnostic models
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DOI: 10.1177/02655322231162840
Abstract: Cognitive diagnostic assessment (CDA) intends to identify learners’ strengths and weaknesses in latent cognitive attributes to provide personalized remedial instructions. Previous CDA studies on English as a Foreign Language (EFL)/English as a Second Language (ESL)… read more here.
Keywords: writing ability; diagnostic models; efl learners; cognitive diagnostic ... See more keywords
Barriers and enablers for implementation of digital-linked diagnostics models at point-of-care in South Africa: stakeholder engagement
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DOI: 10.1186/s12913-024-10691-z
Abstract: The integration of digital technologies holds significant promise in enhancing accessibility to disease diagnosis and treatment at point-of-care (POC) settings. Effective implementation of such interventions necessitates comprehensive stakeholder engagements. This study presents the outcomes of… read more here.
Keywords: enablers implementation; diagnostic models; implementation digital; point care ... See more keywords
Exploring Cuproptosis-Related Genes and Diagnostic Models in Renal Ischemia-Reperfusion Injury Using Bioinformatics, Machine Learning, and Experimental Validation
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Inflammation Research"
DOI: 10.2147/jir.s490357
Abstract: Background Renal ischemia-reperfusion injury (RIRI) is a significant cause of acute kidney injury, complicating clinical interventions such as kidney transplants and partial nephrectomy. Recent research has indicated the role of cuproptosis, a copper-dependent cell death… read more here.
Keywords: cuproptosis related; diagnostic models; related genes; analysis ... See more keywords
Construction of HBV gene-related prognostic and diagnostic models for hepatocellular carcinoma
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.1065644
Abstract: Background: Hepatocellular carcinoma (HCC) is a main cause of malignancy-related death all over the world with a poor prognosis. The current research is focused on developing novel prognostic and diagnostic models of Hepatocellular carcinoma from… read more here.
Keywords: hepatocellular carcinoma; prognosis; hbv; diagnostic models ... See more keywords
In search of the ratio of miRNA expression as robust biomarkers for constructing stable diagnostic models among multi-center data
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2024.1381917
Abstract: MicroRNAs (miRNAs) are promising biomarkers for the early detection of disease, and many miRNA-based diagnostic models have been constructed to distinguish patients and healthy individuals. To thoroughly utilize the miRNA-profiling data across different sequencing platforms… read more here.
Keywords: ratio mirna; disease; diagnostic models; expression ... See more keywords
Serum organic acid metabolites can be used as potential biomarkers to identify prostatitis, benign prostatic hyperplasia, and prostate cancer
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Immunology"
DOI: 10.3389/fimmu.2022.998447
Abstract: Background Noninvasive methods for the early identify diagnosis of prostatitis, benign prostatic hyperplasia (BPH), and prostate cancer (PCa) are current clinical challenges. Methods The serum metabolites of 20 healthy individuals and patients with prostatitis, BPH,… read more here.
Keywords: prostatitis; diagnostic models; acid; organic acid ... See more keywords
Constructing inflammatory bowel disease diagnostic models based on k-mer and machine learning
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Microbiology"
DOI: 10.3389/fmicb.2025.1578005
Abstract: Background Inflammatory bowel disease (IBD), encompassing Crohn’s disease (CD) and ulcerative colitis (UC), is linked to significant alterations in gut microbiota. Conventional diagnostic approaches frequently rely on invasive procedures, contributing to patient discomfort; hence, non-invasive… read more here.
Keywords: diagnostic models; machine learning; machine; bowel disease ... See more keywords
Development, Validation, and Comparison of Image-Based, Clinical Feature-Based and Fusion Artificial Intelligence Diagnostic Models in Differentiating Benign and Malignant Pulmonary Ground-Glass Nodules
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.892890
Abstract: Objective This study aimed to develop effective artificial intelligence (AI) diagnostic models based on CT images of pulmonary nodules only, on descriptional and quantitative clinical or image features, or on a combination of both to… read more here.
Keywords: fusion; benign malignant; image based; diagnostic models ... See more keywords