Serum tumor markers level and their predictive values for solid and micropapillary components in lung adenocarcinoma.
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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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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.
Sign Up to like & getrecommendations! 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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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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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
Limited Gradient Descent: Learning With Noisy Labels
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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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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
Nomogram Based on Risk Factors for Type 2 Diabetes Mellitus Patients with Coronary Heart Disease
Sign Up to like & getrecommendations! Published in 2020 at "Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy"
DOI: 10.2147/dmso.s273880
Abstract: Introduction This study aimed to study risk factors for coronary heart disease (CHD) in type 2 diabetes mellitus (T2DM) patients and establish a clinical prediction model. Research Design and Methods A total of 3402 T2DM… read more here.
Keywords: training set; validation set; training; risk factors ... See more keywords
Machine learning models to predict in-hospital mortality in septic patients with diabetes
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Endocrinology"
DOI: 10.3389/fendo.2022.1034251
Abstract: Background Sepsis is a leading cause of morbidity and mortality in hospitalized patients. Up to now, there are no well-established longitudinal networks from molecular mechanisms to clinical phenotypes in sepsis. Adding to the problem, about… read more here.
Keywords: logistic regression; bayes logistic; validation; random forest ... See more keywords
Quantitative EEG parameters can improve the predictive value of the non-traumatic neurological ICU patient prognosis through the machine learning method
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurology"
DOI: 10.3389/fneur.2022.897734
Abstract: Background Better outcome prediction could assist in reliable classification of the illnesses in neurological intensive care unit (ICU) severity to support clinical decision-making. We developed a multifactorial model including quantitative electroencephalography (QEEG) parameters for outcome… read more here.
Keywords: neurological icu; training set; machine learning; validation set ... See more keywords
Development and Validation of a Clinical-Image Model for Quantitatively Distinguishing Uncertain Lipid-Poor Adrenal Adenomas From Nonadenomas
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.902991
Abstract: Background There remains a demand for a practical method of identifying lipid-poor adrenal lesions. Purpose To explore the predictive value of computed tomography (CT) features combined with demographic characteristics for lipid-poor adrenal adenomas and nonadenomas.… read more here.
Keywords: validation; lipid poor; adrenal adenomas; model ... See more keywords