Study protocol for a triple-blind randomised controlled trial evaluating a machine learning-based predictive clinical decision support tool for internet-delivered cognitive behavio... by Pontus Bjurner, Nils Hentati Isacsson, Fehmi Ben Abdesslem, Magnus Boman, Erik Forsell, Viktor Kaldo

“…Methods and analysis: A triple blind RCT comparing ICBT with a DST (DST condition), to ICBT as usual (TAU condition). …”
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CO18 | Relationship between gut permeability and PCSK9 in heterozygous familial hypercholesterolemia

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CO16 | The predictive value of high-sensitivity C-reactive protein for assessing thrombosis risk in non-small cell lung cancer

“…Aims: In a large, prospective, multinational, observational study involving newly diagnosed NSCLC patients, we evaluated a panel of hypercoagulable biomarkers, along with high-sensitivity C-reactive protein (hs-CRP), to determine their predictive significance for the occurrence of VTE within 6 months of initiating chemotherapy. …”
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CO14 | Inflammation and fibrinolysis biomarkers as predictors of cancer risk in healthy subjects: results from the hypercan study

“…Inflammatory and fibrinolytic parameters may serve as valuable biomarkers for predicting the risk of developing cancer. …”
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CO21 | Viscoelastic testing in inherited bleeding disorders: a cross-sectional comparison between viscoelastic coagulation monitoring (VCM) and rotational thromboelastometry (ROTE...

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CO24 | Extracellular vesicles profiles in patients with wild-type transthyretin amyloidosis

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CO25 | Thromboinflammation and ros accumulation in individuals with high lipoprotein(a) levels

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The Evaluation of Reference Values of Plasma and Effect-Site Concentrations of Propofol and Remifentanil During Extubation in Patients Who Had Hysteroscopy Procedures by Wei Y, Wang J, Xu Z, Ma R

“…The Cp and Ce of propofol (PCp and PCe) and remifentanil (RCp and RCe) before anesthesia induction, at the end of surgery, and at the time of extubation were respectively recorded. Predictive performance was assessed using the jackknife method.Results: At the time of extubation, PCp was 1.17 ± 0.168 (95% CI: 1.14– 1.20 μg/mL), PCe was 1.7 ± 0.212 (95% CI: 1.65– 1.74 μg/mL), RCp was 0.769 ± 0.12 (95% CI: 0.75– 0.79μg/mL), and RCe was 0.972 ± 0.179 (95% CI: 0.94 − 1.01 μg/mL). …”
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Developing a rapid screening tool for high-risk ICU patients of sepsis: integrating electronic medical records with machine learning methods for mortality prediction in hospitalize... by Songchang Shi, Lihui Zhang, Shujuan Zhang, Jinyang Shi, Donghuang Hong, Siqi Wu, Xiaobin Pan, Wei Lin

“…We evaluated model performance in predicting sepsis outcomes within the first 24 h of ICU admission across US and Chinese healthcare settings. …”
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Development of the Real‐Time 30‐s‐Update Big Data Assimilation System for Convective Rainfall Prediction With a Phased Array Weather Radar: Description and Preliminary Evaluation... by T. Honda, A. Amemiya, S. Otsuka, G.‐Y. Lien, J. Taylor, Y. Maejima, S. Nishizawa, T. Yamaura, K. Sueki, H. Tomita, S. Satoh, Y. Ishikawa, T. Miyoshi

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A state-of-the-art comparative review of load forecasting methods: Characteristics, perspectives, and applications by Mahmudul Hasan, Zannatul Mifta, Sumaiya Janefar Papiya, Paromita Roy, Pronay Dey, Nafisa Atia Salsabil, Nahid-Ur-Rahman Chowdhury, Omar Farrok

“…Emphasis is placed on methodologies for predicting renewable energy availability, electricity pricing, and load demand, with an in-depth evaluation of their modeling frameworks and predictive accuracies. …”
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Performance of an End-to-End Inventory Demand Forecasting Pipeline Using a Federated Data Ecosystem by Henrique Duarte Moura, Els de Vleeschauwer, Gerald Haesendonck, Ben De Meester, Lynn D’eer, Tom De Schepper, Siegfried Mercelis, Erik Mannens

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A LIFE EVALUATION METHED FOR FRONT AXLE BASED ON FRONT AXLE DYNAMICS MODEL by FENG Jinzhi, SANG Wuzhuang, ZHANG Dongdong, LI Liangliang, LIU Xinrong, ZHAO Lihui

“…The life of the front axle, the failure sequence of risk points and the damage contribution ratio of various road conditions to dangerous points are obtained and in good agreement with the reference results, which verified the effectiveness of the proposed method and provided reference for the drive signal construction and component life evaluation of system-level bench durability test. …”
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Evaluation of miniscrew-assisted maxillary expansion in the treatment of unilateral maxillary constriction: A finite element study by Shravan Shetty, Phad Sharad Trimbakrao, Utkarsh Mangal, Suraj Patil, Shah Mohammed Abdul Khader, MV Ashith, Satish Shenoy

“…The stress, displacement, and distribution predictions for all three types of expanders were subsequently evaluated via FEM. …”
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Development and temporal evaluation of sex-specific models to predict 4-year atherosclerotic cardiovascular disease risk based on age and neighbourhood characteristics in South Lim... by Anke Bruninx, Lianne Ippel, Rob Willems, Andre Dekker, Iñigo Bermejo

“…Methods We included 40- to 70-year-olds living in South Limburg on 1 January 2015 for model development, and 40- to 70-year-olds living in South Limburg on 1 January 2016 for model evaluation. …”
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Construction and evaluation of a nomogram risk prediction model for post-hepatectomy liver failure in hepatocellular carcinoma patients with hepatitis B infection at low viral load by HAN Yan, LI Yujie, YI Bin

“…Conclusion‍　‍Our model can effectively evaluate the risk of PHLF in HCC patients with HBV infection at low viral load, and shows good predictive performance, which has certain guiding significance for timely identification of high-risk populations. …”
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Comprehensive evaluation of the prediction of fetal growth restriction using the ratio of fetal cerebellar transverse diameter to abdominal circumference combined with uterine arte... by Weiying Tang, Pingping Wu, Yanyan Zheng, Baobao Yang

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Prediction of spontaneous supratentorial intracerebral hemorrhage acute period outcome on the basis of a complex clinical and neuroimaging investigation and the evaluation of the s... by A. A. Kuznietsov

“…Binary logistic regression method and ROC-analysis were used for the elaboration of prediction criteria. …”
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Revolutionizing Nursing and Midwifery Informatics Curriculum Evaluation in Ghana: A Data-Driven Machine Learning Approach by Iven Aabaah, Japheth Kodua Wiredu, Bakaweri Emmanuel Batowise, Nelson Abuba Seidu

“…Tedam University of Technology and Applied Sciences (β = 3.85, p = 0.021), likely due to better alignment between their curriculum and instructional methods. These findings offer actionable insights for curriculum development and healthcare policy planning in resource-constrained settings, advocating for the integration of machine learning tools into academic evaluations. …”
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Construct a nomogram prediction and evaluation of influencing factors of adverse pregnancy outcomes in GDM patients based on plasma miR-144-3p levels by Sanqiang Niu, Sanqiang Niu, Pengwen Wu, Bing Li, Huaili Xin, Huaili Xin, Kangjun Yu, Kangjun Yu, Ningning Du

“…ObjectiveTo examine the expression levels of miR-144-3p in the plasma of patients with gestational diabetes mellitus (GDM) and to construct a nomogram for predicting and evaluating factors influencing adverse pregnancy outcomes (APO) in GDM based on plasma miR-144-3p levels.MethodsThis study included 442 pregnant women, comprising 216 diagnosed with GDM (GDM group) and 226 with normal glucose tolerance (NGT group). …”
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