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Machine learning constructs a diagnostic prediction model for calculous pyonephrosis
In order to provide decision-making support for the auxiliary diagnosis and individualized treatment of calculous pyonephrosis, the study aims to...
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Lung ultrasound for prediction of surfactant requirement in Indian preterm neonates: a diagnostic accuracy study
Surfactant replacement for respiratory distress syndrome (RDS) is currently guided by oxygen (FiO 2 ) requirement in preterm neonates. Lung ultrasound...
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Gut microbiome-based machine learning for diagnostic prediction of liver fibrosis and cirrhosis: a systematic review and meta-analysis
BackgroundInvasive detection methods such as liver biopsy are currently the gold standard for diagnosing liver cirrhosis and can be used to determine...
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Development and internal validation of a diagnostic prediction model for psoriasis severity
BackgroundWhile administrative health records such as national registries may be useful data sources to study the epidemiology of psoriasis, they do...
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Diagnostic prediction of gastrointestinal graft-versus-host disease based on a clinical- CT- signs nomogram model
ObjectiveGastrointestinal graft-versus-host disease (GI-GVHD) is one of the complications that can easily occur after hematopoietic stem cell...
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Diagnostic performance of prediction models for extraprostatic extension in prostate cancer: a systematic review and meta-analysis
PurposeIn recent decades, diverse nomograms have been proposed to predict extraprostatic extension (EPE) in prostate cancer (PCa). We aimed to...
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Machine learning-based prediction of diagnostic markers for Graves’ orbitopathy
PurposeThe pathogenesis of Graves’ orbitopathy/thyroid-associated orbitopathy (TAO) is still unclear, and abnormal DNA methylation in TAO has been...
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Diagnostic accuracy of updated risk assessment criteria and development of novel computational prediction models for patients with suspected choledocholithiasis
BackgroundThere are risks of choledocholithiasis in symptomatic gallstones, and some surgeons have proposed the identification of choledocholithiasis...
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Evaluation of a multimodal diagnostic algorithm for prediction of cognitive impairment in elderly patients with dizziness
BackgroundThe current diagnostic workup for chronic dizziness in elderly patients often neglects neuropsychological assessment, thus missing a...
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Diagnostic accuracy of NI-RADS for prediction of head and neck squamous cell carcinoma: a systematic review and meta-analysis
ObjectivesThis study aimed to assess the diagnostic performance of NI-RADS for the prediction of recurrence in patients treated for Head and Neck...
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Exploration of the diagnostic capacity of PSAMR combined with PI-RADS scoring for clinically significant prostate cancer and establishment and validation of the Nomogram prediction model
PurposeThe objective of this investigation was to explore the diagnostic capability of Prostate Specific Antigen Mass Ratio (PSAMR) combined with...
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Artificial intelligence for the prediction of acute kidney injury during the perioperative period: systematic review and Meta-analysis of diagnostic test accuracy
BackgroundAcute kidney injury (AKI) is independently associated with morbidity and mortality in a wide range of surgical settings. Nowadays, with the...
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Biomarkers for prediction of acute kidney injury in pediatric patients: a systematic review and meta-analysis of diagnostic test accuracy studies
BackgroundSeverity of acute kidney injury (AKI) confers higher odds of mortality. Timely recognition and early initiation of preventive measures may...
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Prediction of fragility fractures in men with prostate cancer under androgen deprivation therapy: the importance of a multidisciplinary approach using a mini-invasive diagnostic tool
Bone fragility in men who are treated with androgen deprivation therapy (ADT) has a complex pathophysiology that differs from that of primary and...
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Development and validation of a clinical prediction model for detecting coronary heart disease in middle-aged and elderly people: a diagnostic study
ObjectiveTo develop and validate a multivariate prediction model to estimate the risk of coronary heart disease (CHD) in middle-aged and elderly...
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The diagnostic significance of circulating miRNAs and metabolite profiling in early prediction of breast cancer in Egyptian women
ObjectiveBreast cancer (BC) is one of the most commonly diagnosed solid malignancies in women worldwide.
PurposeFinding new non-invasive circulating...
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Prognostic Prediction of Cancer Based on Radiomics Features of Diagnostic Imaging: The Performance of Machine Learning Strategies
Tumor phenotypes can be characterized by radiomics features extracted from images. However, the prediction accuracy is challenged by difficulties...
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Diagnostic value of a radiomics model based on CT and MRI for prediction of lateral lymph node metastasis of rectal cancer
This study aimed to develop a radiomics model for predicting lateral lymph node (LLN) metastasis in rectal cancer patients using MR-T2WI and CT...
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Prediction of surfactant requirement in Indian preterm infants by lung ultrasound scores: a diagnostic accuracy study from a develo** country
The purpose of this study is to validate lung ultrasound score (LUS) for prediction of surfactant replacement therapy (SRT) in Indian infants of 27–33
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Saliva Based Diagnostic Prediction of Oral Squamous Cell Carcinoma using FTIR Spectroscopy
Oral cancer ranks as the sixth most prevalent form of cancer worldwide, presenting a significant public health concern. According to the World Health...
