Comparison of pulse pressure and stroke volume variations measured by three monitors in high-risk surgical patients by Barbora Cenková, Miloš Chobola, Vladimír Šrámek, Michal Šitina, Pavel Suk

“…We aimed to compare the baseline values, fluctuation and predictive value for FR of PPV and SVV measured by three minimally invasive monitors. …”
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Tumor microenvironment parameters as a predictor of the duration of clinical effectiveness of immunotargeted therapy in advanced or metastatic endometrial cancer: A pilot multicent... by A. A. Maltseva, A. Yu. Kalinchuk, N. V. Krakhmal, N. M. Chernorubashkina, E. S. Martynova, R. A. Zukov, A. A. Gofman, A. B. Villert, O. N. Churuksaeva, L. A. Kolomiets, L. A. Tashireva

“…However, the CD8+/CD20+ lymphocyte ratio had the greatest predictive value; a value below 3.219 was associated with long clinical efficacy in patients with advanced or metastatic EC.Conclusion. …”
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Interpretable machine learning model for early prediction of disseminated intravascular coagulation in critically ill children by Jintuo Zhou, Yongjin Xie, Ying Liu, Peiguang Niu, Huajiao Chen, Xiaoping Zeng, Jinhua Zhang

“…Models were then evaluated by using area under the curve (AUC), accuracy, specificity, sensitivity, positive predictive value (PPV), negative predictive value (NPV), precision, recall and decision curve analysis (DCA). …”
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Extracapsular extension risk assessment using an artificial intelligence prostate cancer mapping algorithm by Alan Priester, Sakina Mohammed Mota, Kyla P. Grunden, Joshua Shubert, Shannon Richardson, Anthony Sisk, Ely R. Felker, James Sayre, Leonard S. Marks, Shyam Natarajan, Wayne G. Brisbane

“…Unfold AI achieved 68% sensitivity, 78% specificity, 71% positive predictive value, and 75% negative predictive value. At the quadrant level, Unfold AI exceeded the AUC of MRI Likert scores for posterior (0.89 versus 0.82, p = 0.003), anterior (0.84 versus 0.80, p = 0.34), and all quadrants (0.89 versus 0.82, p = 0.002). …”
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Post-deployment performance of a deep learning algorithm for normal and abnormal chest X-ray classification: A study at visa screening centers in the United Arab Emirates by Amina Abdelqadir Mohamed AlJasmi, Hatem Ghonim, Mohyi Eldin Fahmy, Aswathy Nair, Shamie Kumar, Dennis Robert, Afrah Abdikarim Mohamed, Hany Abdou, Anumeha Srivastava, Bhargava Reddy

“…Results: The analysis of 1309,443 CXRs from 1309,431 patients (median age: 35 years; IQR [29–42]; 1030,071 males [78.7 %]) in this study revealed a Negative Predictive Value (NPV) of 99.92 % (95 % CI: 99.92, 99.93), Positive Predictive Value (PPV) of 5.06 % (95 % CI: 4.99, 5.13) and overall percent agreement of the AI with radiologists of 72.90 % (95 % CI: 72.82, 72.98). …”
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Exploring the mechanism of rosmarinic acid in the treatment of lung adenocarcinoma based on bioinformatics methods and experimental validation by Chaowang Zhou, Ruqian Zhong, Lei Zhang, Renyi Yang, Yuxin Luo, Huijun Lei, Liang Li, Jianzhong Cao, Zhiying Yuan, Xiaoning Tan, Mengzhou Xie, Haoyu Qu, Zuomei He

“…Then, molecular docking between hub RDEGs and RosA was performed, and further evaluation was carried out by using bioinformatics for the predictive value of the hub RDEGs. Finally, the mechanism of RosA in the treatment of LUAD was verified by establishing a xenograft model of NSCLC in nude mouse. …”
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Validation of the EVendo score for assessing high-risk varices in Western European patients with cirrhosis by Julian Müller-Kühnle, Christian Benignus, Severin Schricker, Moritz Schanz, Julia Todoroff, Jörg Latus, Wolfram Zoller, Dominik Marschner

“…Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were assessed for EVendo score cutoffs of ≤ 3.9, ≤ 4.5, and a cohort-optimized cutoff of ≤ 4.3. …”
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Epicardial Adipose Tissue and Heterogeneity Parameters Combined with Inflammatory Cells to Predict the Value of Heart Failure with Preserved Ejection Fraction Patients Post Myocard... by Yu-jiao Song, Xiao-ying Zhao, Lu-jing Wang, Ting Ning, Ming-tian Chen, Pei Liu, Si-wen Chen, Xin-xiang Zhao

“…Furthermore, we conducted univariate and multivariate Cox regression analyses to determine the predictive value of each parameter for the development of HFpEF in MI patients. …”
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The Analysis of Average Diameter of Erythrocytes in Children of Early Age with Pneumonia and Acute Respiratory Viral Infections by S. S. Shevchenko, A. I. Grekova

“…Thus, at children of early age, patients with pneumonia and ARVI, in dynamics of a disease the natural changes of average diameter of erythrocytes having differential and diagnostic and predictive value are revealed.…”
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Machine learning in predicting immediate and long-term outcomes of myocardial revascularization: a systematic review by B. I. Geltser, V. Yu. Rublev, M. M. Tsivanyuk, K. I. Shakhgeldyan

“…Most of the research on this issue is focused on creation of novel forecast models with a higher predictive value. It is emphasized that the improvement of modeling technologies and the development of clinical decision support systems is one of the most promising areas of digitalizing healthcare that are in demand in everyday professional activities.…”
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RISK STRATIFICATION IN CIRRHOTIC PATIENTS UNDERGOING NONHEPATIC SURGERY –LITERATURE REVIEW by E. Merashka

“…The existing scoring systems that are used with the highest frequency in clinical practice –Child –Pugh –Turcotte and MELD, show similar levels of predictive value in terms of surgical risk. The latter can be adequately defined when they are used simultaneously and implemented in daily clinical practice in patients undergoing emergency or elective non-hepatic surgery.…”
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Measuring ACPA in the general population or primary care: is it useful? by Axel Finckh, Celine Lamacchia, Delphine Courvoisier, O. Studer, E. Trunk, B. Gilbert

“…We will review the diagnostic properties of the test and its positive and negative predictive value in different settings. We will discuss how ACPA testing could effectively be integrated in a broader screening strategy for RA.…”
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Machine learning model for age related macular degeneration based on pesticides: the National Health and Nutrition Examination Survey 2007–2008 by Jiankang Liu, Bingli Wang, Qiuming Li

“…Finally, it is found that the random forest model has high predictive value, and its Receiver Operating Characteristic (ROC) value is 0.75. …”
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Needs and requests of users of information on the innovative capital of the enterprise: the problem of relevance by V.K.

“…The reasons for the loss of relevance of accounting information in the part of the enterprise’s innovative capital generated by the current accounting system in terms of two main components of relevance (predictive value, confirmatory value) have been grounded. …”
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Diagnostic and Prognostic Potential of Oxidative Stress Markers in Adults with Immune Thrombocytopenia by Lachezar Bogdanov, Margarita Alexandrova, Milena Atanasova, Nikolay Tzvetkov

“…The aim of the study was to correlate the oxidative stress markers and the severity of immune thrombocytopenia in adults and to investigate their predictive value of transforming the acute formof ITPinto chronicІTP.We studiedatotal of 58 subjects (14 patients with newly diagnosedІTP, 13 patients with chronic form ofІTR, and 31 controls). …”
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VALUE OF ANATOMICAL INTRACRANIAL RESERVE IN SURGICAL TREATMENT OF INJURIES AND DISEASES OF THE BRAIN by V. V. Shchedrenok, O. V. Moguchaya, E. G. Potemkina, G. .. Zakhmatov, M. A. Kotov, K. I. Sebelev

“…This method showed a high accuracy (92%) and predictive value (85%) in determination of terms and volume of complex treatment of 140 victims with craniocerebral injury, 120 patients with primary tumors of the brain and 110 patients with acute disorder of cerebral circulation.…”
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Spontaneous Clavicular Osteomyelitis Caused by Cutibacterium acnes Treated with Calcium Sulfate Beads by Essa A Alazmi, Gutaybah S Alqarni, Mohammed T Musslem, Ramy Samargandi

“…Combining clinical and laboratory criteria with emerging microbiologic tests may enhance the predictive value of C. acnes diagnostic testing in the future.…”
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The effect of social support on the quality of life of patients with multiple sclerosis by David Castro Costa, Maria José Sá, José M. Calheiros

“…OBJECTIVE: To determine the predictive value of social support on health related quality of life (HRQoL) in multiple sclerosis (MS) patients. …”
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Periprosthetic joint infections – a scoping review by Youssef Yasmin, Hättich Annika, Klepka Kim Lydia

“…However, there is no definition for PJI with 100 % sensitivity or a negative predictive value. This can potentially lead to a delayed or missed diagnosis of PJI. …”
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Impact of face trustworthiness on approach-avoidance behavior of adolescents with varied social anxiety traits by Yuan Yao, Zhuqing Wang

“…This heterogeneity has promoted research on exploring the predictive value of individual differences. Based on Person-Context Interaction Theory, the current study focused on the impact of face trustworthiness on adolescents’ approach/avoidance behavior with varied social anxiety traits. …”
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