Articles with "validation set" as a keyword



Serum tumor markers level and their predictive values for solid and micropapillary components in lung adenocarcinoma.

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Published in 2022 at "Cancer medicine"

DOI: 10.1002/cam4.4645

Abstract: BACKGROUND This study aims to reveal the serum tumor marker (STM) levels in lung adenocarcinoma (LUAD) histological subtypes and evaluate their values in predicting the solid and micropapillary components (SMC). METHODS We retrospectively analyzed 3100… read more here.

Keywords: tumor; training set; cea; validation set ... See more keywords

A quantitative model based on clinically relevant MRI features differentiates lower grade gliomas and glioblastoma

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Published in 2020 at "European Radiology"

DOI: 10.1007/s00330-019-06632-8

Abstract: Objectives To establish a quantitative MR model that uses clinically relevant features of tumor location and tumor volume to differentiate lower grade glioma (LRGG, grades II and III) and glioblastoma (GBM, grade IV). Methods We… read more here.

Keywords: glioblastoma; validation set; model; lower grade ... See more keywords

Classification criteria for pars planitis.

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Published in 2021 at "American journal of ophthalmology"

DOI: 10.1016/j.ajo.2021.03.045

Abstract: PURPOSE To determine classification criteria for pars planitis DESIGN: Machine learning of cases with pars planitis and 4 other intermediate uveitides. METHODS Cases of intermediate uveitides were collected in an informatics-designed preliminary database, and a… read more here.

Keywords: criteria pars; classification criteria; training set; validation set ... See more keywords

Classification criteria for Fuchs uveitis syndrome.

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Published in 2021 at "American journal of ophthalmology"

DOI: 10.1016/j.ajo.2021.03.052

Abstract: PURPOSE To determine classification criteria for Fuchs uveitis syndrome. DESIGN Machine learning of cases with Fuchs uveitis syndrome and 8 other anterior uveitides. METHODS Cases of anterior uveitides were collected in an informatics-designed preliminary database,… read more here.

Keywords: criteria fuchs; anterior uveitides; training set; validation set ... See more keywords

Development and Validation of a Nomogram for Predicting Survival in Patients with Advanced Pancreatic Ductal Adenocarcinoma

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Published in 2017 at "Scientific Reports"

DOI: 10.1038/s41598-017-11227-8

Abstract: This study aimed to develop and validate an effective prognostic nomogram for advanced PDAC patients. We conducted a prospective multicenter cohort study involving 1,526 advanced PDAC patients from three participating hospitals in China between January… read more here.

Keywords: set validation; development validation; validation; training set ... See more keywords

Utilizing radiomics for differential diagnosis of inverted papilloma and chronic rhinosinusitis with polyps based on unenhanced CT scans

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Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-70134-x

Abstract: To evaluate whether radiomics models based on unenhanced paranasal sinuses CT images could be a useful tool for differentiating inverted papilloma (IP) from chronic rhinosinusitis with polyps (CRSwNP). This retrospective study recruited 240 patients with… read more here.

Keywords: papilloma chronic; chronic rhinosinusitis; validation; based unenhanced ... See more keywords

Limited Gradient Descent: Learning With Noisy Labels

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Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2954547

Abstract: Label noise may affect the generalization of classifiers, and the effective learning of main patterns from samples with noisy labels is an important challenge. Recent studies have shown that deep neural networks tend to prioritize… read more here.

Keywords: validation set; clean validation; validation; limited gradient ... See more keywords

CT-Based Radiomics Can Predict the Efficacy of Anlotinib in Advanced Non-Small-Cell Lung Cancer

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Published in 2022 at "Journal of Oncology"

DOI: 10.1155/2022/4182540

Abstract: Anlotinib is a small-molecule RTK inhibitor that has achieved certain results in further-line treatment, but many patients do not respond to this drug and lack effective methods for identification. Although radiomics has been widely used… read more here.

Keywords: external validation; internal validation; validation; efficacy anlotinib ... See more keywords

Establishment of a risk prediction model for hydrocephalus complicated by neonatal bacterial meningitis

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Published in 2025 at "BMC Infectious Diseases"

DOI: 10.1186/s12879-025-11517-x

Abstract: Hydrocephalus is a severe complication of neonatal bacterial meningitis (NBM), threatening the health and quality of life of neonates, affecting the outcome of nervous system development, and leading to neurological sequelae, such as movement disorders,… read more here.

Keywords: risk prediction; risk; model; prediction model ... See more keywords

Automatic recognition and differentiation of pulmonary contusion and bacterial pneumonia based on deep learning and radiomics

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Published in 2025 at "BMC Medical Imaging"

DOI: 10.1186/s12880-025-01802-1

Abstract: In clinical work, there are difficulties in distinguishing pulmonary contusion(PC) from bacterial pneumonia(BP) on CT images by the naked eye alone when the history of trauma is unknown. Artificial intelligence is widely used in medical… read more here.

Keywords: pulmonary contusion; bacterial pneumonia; contusion; contusion bacterial ... See more keywords

RENOVO-NF1 accurately predicts NF1 missense variant pathogenicity

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Published in 2025 at "Human Genomics"

DOI: 10.1186/s40246-025-00803-z

Abstract: Identification of a pathogenic variant in NF1 is diagnostic for neurofibromatosis, but is often impossible at the moment of variant detection due to many factors including allelic heterogeneity, sequence homology, and the lack of functional… read more here.

Keywords: renovo nf1; nf1 accurately; validation set; variant ... See more keywords