Articles with "diagnostic model" as a keyword



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Identifying individuals with attention deficit hyperactivity disorder based on temporal variability of dynamic functional connectivity

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Published in 2018 at "Scientific Reports"

DOI: 10.1038/s41598-018-30308-w

Abstract: Attention deficit hyperactivity disorder (ADHD) is a common disorder that emerges in school-age children. The diagnostic model based on neuroimaging features could be beneficial for ADHD in twofold: identifying individuals with ADHD and discovering the… read more here.

Keywords: connectivity; disorder; variability; diagnostic model ... See more keywords
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Construction and validation of the diagnostic model of keloid based on weighted gene co-expression network analysis (WGCNA) and differential expression analysis

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Published in 2022 at "Journal of Plastic Surgery and Hand Surgery"

DOI: 10.1080/2000656x.2021.2024557

Abstract: Abstract Keloid is a disease that seriously affects the aesthetic appearance of the body. In contrast to normal skin or hypertrophic scars, keloid tissue extends beyond the initial site of injury. Patients may complain of… read more here.

Keywords: diagnostic model; analysis; gene expression; expression ... See more keywords
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A Genetic-Algorithm Support Vector Machine and D-S Evidence Theory Based Fault Diagnostic Model for Transmission Line

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Published in 2019 at "IEEE Transactions on Power Systems"

DOI: 10.1109/tpwrs.2019.2922734

Abstract: In order to accurately and effectively diagnose the transmission line faults of the power system, a genetic-algorithm support vector machine and the D-S evidence theory based fault diagnostic model is proposed. Two genetic-algorithm support vector… read more here.

Keywords: genetic algorithm; vector machine; model; support vector ... See more keywords
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Prototype early diagnostic model for invasive pulmonary aspergillosis based on deep learning and big data training

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Published in 2022 at "Mycoses"

DOI: 10.1111/myc.13540

Abstract: Currently, the diagnosis of invasive pulmonary aspergillosis (IPA) mainly depends on the integration of clinical, radiological and microbiological data. Artificial intelligence (AI) has shown great advantages in dealing with data‐rich biological and medical challenges, but… read more here.

Keywords: prototype early; diagnostic model; invasive pulmonary; early diagnostic ... See more keywords
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Risk Factor Analysis of Hepatic Encephalopathy and the Establishment of Diagnostic Model

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Published in 2022 at "BioMed Research International"

DOI: 10.1155/2022/3475325

Abstract: To identify laboratory diagnostic indicators of hepatic encephalopathy (HE), the present study established a HE diagnostic model to explore the diagnostic value of serum homocysteine, lactic acid, procalcitonin, and bile acid levels in HE identification.… read more here.

Keywords: diagnostic model; bile acid; model; serum homocysteine ... See more keywords
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Diagnostic Model of In-Hospital Mortality in Patients with Acute ST-Segment Elevation Myocardial Infarction Used Artificial Intelligence Methods

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Published in 2022 at "Cardiology Research and Practice"

DOI: 10.1155/2022/8758617

Abstract: Background Preventing in-hospital mortality in patients with ST-segment elevation myocardial infarction (STEMI) is a crucial step. Objectives The objective of our research was to develop and externally validate the diagnostic model of in-hospital mortality in… read more here.

Keywords: diagnostic model; hospital mortality; mortality; myocardial infarction ... See more keywords
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Abstract 3352: Development and validation of a serum microRNA-based diagnostic model for early detection of multiple cancers

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Published in 2023 at "Cancer Research"

DOI: 10.1158/1538-7445.am2023-3352

Abstract: Introduction: Detecting cancer early improves patients’ survival rate. We previously developed a serum 4-microRNA (miRNA) diagnostic model using lung cancer patient samples, which detected 12 cancer types with high accuracy (Zhang and Hu 2022 Cancers).… read more here.

Keywords: diagnostic model; serum microrna; development; previous model ... See more keywords
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Clinicopathological characteristics and HER2 status in metastatic colorectal cancer patients: Results of a diagnostic model development study.

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Published in 2018 at "Journal of Clinical Oncology"

DOI: 10.1200/jco.2018.36.4_suppl.581

Abstract: 581Background: We have reported with the HERACLES Trial that HER2 amplification is a clinically relevant genetic alteration in metastatic colorectal cancer (mCRC). With present study, we aim to develop and internally validate a new diagnostic… read more here.

Keywords: metastatic colorectal; her2 status; colorectal cancer; clinicopathological characteristics ... See more keywords
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A noninvasive diagnostic model for significant liver fibrosis in patients with chronic hepatitis B based on CHI3L1 and routine clinical indicators.

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Published in 2021 at "Annals of palliative medicine"

DOI: 10.21037/apm-21-957

Abstract: BACKGROUND In consideration of the limitations of liver biopsy, the past years have seen a great advance in the application of noninvasive indices in assessing liver fibrosis. However, the accuracies of the existing indices to… read more here.

Keywords: medicine; fibrosis; liver fibrosis; diagnostic model ... See more keywords
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Development and Validation of a Diagnostic Model Based on Hypoxia-Related Genes in Myocardial Infarction

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Published in 2023 at "International Journal of General Medicine"

DOI: 10.2147/ijgm.s407759

Abstract: Purpose Myocardial infarction (MI) is a common cardiovascular disease, and its underlying pathological mechanism remains unclear. We aimed to develop a diagnostic model to distinguish different subtypes of MI. Patients and Methods The gene expression… read more here.

Keywords: diagnostic model; myocardial infarction; hypoxia related; model ... See more keywords
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A Prediction Model for Rapid Identification of Ischemic Stroke: Application of Serum Soluble Corin

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Published in 2022 at "Journal of Multidisciplinary Healthcare"

DOI: 10.2147/jmdh.s395896

Abstract: Objective Rapid identification is critical for ischemic stroke due to the very narrow therapeutic time window. The objective of this study was to construct a diagnostic model for the rapid identification of ischemic stroke. Methods… read more here.

Keywords: rapid identification; diagnostic model; ischemic stroke; model ... See more keywords