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Critical appraisal of machine learning prognostic models for acute pancreatitis: protocol for a systematic review
Acute pancreatitis (AP) is an acute inflammatory disorder that is common, costly, and is increasing in incidence worldwide with over 300,000...
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Prognostic nomogram models for predicting survival probability in elderly glioblastoma patients
PurposeTo investigate the prognostic factors of survival and develop a predictive nomogram model for elderly GBM patients.
MethodsElderly patients...
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Prognostic models in COVID-19 infection that predict severity: a systematic review
Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability remains controversial. We performed a systematic review to...
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Population-Based Prognostic Models for Head and Neck Cancers Using National Cancer Registry Data from Taiwan
PurposeThis study aims to raise awareness of the disparities in survival predictions among races in head and neck cancer (HNC) patients by develo**...
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Meta-research: How many diagnostic or prognostic models published in radiological journals are evaluated externally?
ObjectivesPrognostic and diagnostic models must work in their intended clinical setting, proven via “
external evaluation ”, preferably by authors...
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Prognostic Factors and Models for Predicting Work Absence in Adults with Musculoskeletal Conditions Consulting a Healthcare Practitioner: A Systematic Review
PurposeIt is difficult to predict which employees, in particular those with musculoskeletal pain, will return to work quickly without additional...
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Develo** prognostic models for health care utilization in patients with work-related mental health problems
BackgroundThe long-term prognosis for employees with work-related mental health problems is unclear. We aim to describe long-term trends in health...
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Zebrafish tumour xenograft models: a prognostic approach to epithelial ovarian cancer
Epithelial ovarian cancer (EOC) is the gynaecological malignancy with highest mortality. Although adjuvant treatment with carboplatin and paclitaxel...
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Prediction of macrotrabecular-massive hepatocellular carcinoma by using MR-based models and their prognostic implications
PurposeTo evaluate the efficacy of MRI-based radiomics and clinical models in predicting MTM-HCC. Additionally, to investigate the ability of the...
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Prognostic models for breast cancer: based on logistics regression and Hybrid Bayesian Network
BackgroundTo construct two prognostic models to predict survival in breast cancer patients; to compare the efficacy of the two models in the whole...
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Utilization of diffusion-weighted derived mathematical models to predict prognostic factors of resectable rectal cancer
PurposeThis study explored models of monoexponential diffusion-weighted imaging (DWI), diffusion kurtosis imaging (DKI), stretched exponential (SEM),...
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Prognostic models predicting transition to psychotic disorder using blood-based biomarkers: a systematic review and critical appraisal
Accumulating evidence suggests individuals with psychotic disorder show abnormalities in metabolic and inflammatory processes. Recently, several...
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The prognostic importance of traumatic axonal injury on early MRI: the Trondheim TAI-MRI grading and quantitative models
ObjectivesWe analysed magnetic resonance imaging (MRI) findings after traumatic brain injury (TBI) aiming to improve the grading of traumatic axonal...
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Analysis of prognostic biomarker models and immune microenvironment in acute myeloid leukemia by integrative bioinformatics
BackgroundAcute myeloid leukemia (AML) is a hematological cancer driven on by aberrant myeloid precursor cell proliferation and differentiation. A...
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Prognostic models for estimating survival of salivary duct carcinoma: a population-based study
PurposeIn a large salivary duct carcinoma (SDC) cohort, we aimed to investigate the clinical factors influencing their survival outcomes and to...
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Statistical models versus machine learning for competing risks: development and validation of prognostic models
BackgroundIn health research, several chronic diseases are susceptible to competing risks (CRs). Initially, statistical models (SM) were developed to...
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Integrative analysis of clinicopathological features defines novel prognostic models for mantle cell lymphoma in the immunochemotherapy era: a report from The North American Mantle Cell Lymphoma Consortium
BackgroundPatients with mantle cell lymphoma (MCL) exhibit a wide variation in clinical presentation and outcome. However, the commonly used...
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Prognostic models for COVID-19 needed updating to warrant transportability over time and space
BackgroundSupporting decisions for patients who present to the emergency department (ED) with COVID-19 requires accurate prognostication. We aimed to...
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External validation of prognostic models predicting outcome after chronic subdural hematoma
BackgroundSeveral prognostic models for outcomes after chronic subdural hematoma (CSDH) treatment have been published in recent years. However, these...
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Risk factors and prognostic models of lymph node metastatic hypopharyngeal squamous cell carcinoma
PurposeTo explore the risk factors for lymph node metastasis (LNM) and establish nomograms for predicting survival outcomes and assessing individual...
