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Diagnosis and treatment of liver injuries in blunt abdominal injury using minimally invasive technologies
Published 2023-03-01Get full text
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902
Diaphragmatic Injury in Multisystem Closed Abdominal Trauma: Features of Diagnosis and Treatment
Published 2022-04-01“…The data extraction method was performed by two researchers independently of each other. The analysis was made of multicenter studies, systematic reviews, large case series, original articles (14 retrospective selective studies from 1994 to 2018; a total of 928 patients with closed diaphragmatic injury) and one meta-analysis (2023 patients).RESULTS The treatment and diagnostic algorithm for multisystem closed diaphragmatic injury has been standardized based on the hemodynamic status of the patient, the indications for minimally invasive and open interventions in this category of patients have been clarifi ed, and a description of the staged surgical treatment has been given.CONCLUSION Timely diagnosis, minimally invasive interventions in the treatment of diaphragmatic injuries, as well as their stage-by-stage organization in conditions of severe polytrauma contribute to a decrease in mortality.…”
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Integrating single cell analysis and machine learning methods reveals stem cell-related gene S100A10 as an important target for prediction of liver cancer diagnosis and immunothera...
Published 2025-01-01“…We analyzed various datasets, applying negative matrix factorization alongside machine learning algorithms to reveal gene expression patterns and construct diagnostic models. …”
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Development of Automated Image Processing for High-Throughput Screening of Potential Anti-Chikungunya Virus Compounds
Published 2025-01-01“…This technology can be seamlessly integrated into existing virological research pipelines, offering a scalable and efficient tool to accelerate drug discovery and improve diagnostic workflows for vector-borne and emerging viral diseases. …”
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Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning.
Published 2012-01-01“…For training the algorithm, we used texts classified as positive and negative according to their associated Read diagnostic codes, rather than by manual annotation. …”
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Improving the Diagnosis and Treatment of Acute Appendicitis in Pregnant Women
Published 2012-10-01Get full text
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908
Results of specialized outpatient follow-up of patients with embolic stroke of undetermined source
Published 2021-10-01Get full text
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909
Differential Diagnosis of Peripheral Lung Lesions: Capabilities and Limitations of Current Methods
Published 2025-07-01Get full text
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910
Multisystem Abdominal Trauma in Pregnancy: Multidisciplinary Approach to Diagnosis and Treatment
Published 2022-01-01“…The absence of systematic reviews and meta-analyses related to the algorithmization of treatment tactics for multisystem abdominal trauma leads to a large percentage of treatment and diagnostic errors and complications, high maternal and perinatal mortality, which, in turn, dictates the need to develop a standardized interdisciplinary approach to the management of this category of patients.Aim of study. …”
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Idiopathic Intrahepatic Cholestasis as an Unusual Presentation of Hodgkin’s Disease
Published 2015-01-01Get full text
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913
Rolling Bearing Fault Diagnosis Method Based on Improved Variational Mode Decomposition and Information Entropy
Published 2022-02-01“…A new fitness function combining differential evolution (DE) algorithm with gray wolf optimization (GWO) algorithm is proposed to form a new hybrid optimization algorithm, named DEGWO. …”
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Evaluation of Multi-Class Classification Performance Lung Cancer Through K-NN and SVM Approach
Published 2025-04-01“…Based on the research and discussion of SVM and KNN performance evaluation, the SVM algorithm produces an accuracy of 98.28%, surpassing the accuracy of the KNN algorithm of 97.25%. …”
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915
Role of ultrasound and spiral computed tomography in diagnosis of cardioesophageal cancer
Published 2016-10-01Get full text
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916
Controversies in treating nutcracker syndrome
Published 2025-03-01“…Despite advancements in diagnostic modalities, including Doppler ultrasound, computed tomography, magnetic resonance imaging, and invasive techniques like phlebography, there is still no globally accepted diagnostic algorithm, leading to inconsistencies in diagnosis. …”
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