Showing 2,201 - 2,220 results of 2,390 for search '"Prediction', query time: 0.06s Refine Results
  1. 2201

    Validation of a paediatric sepsis screening tool to identify children with sepsis in the emergency department: a statewide prospective cohort study in Queensland, Australia by Paula Lister, Kristen Gibbons, Luregn J Schlapbach, Adam Irwin, Michael Rice, Sainath Raman, Amanda Harley, Patricia Gilholm

    Published 2023-01-01
    “…We assessed the performance of the paediatric sepsis screening tool using stepwise multiple logistic regression analyses with 10-fold cross-validation and evaluated the final model at defined risk thresholds.Setting Twelve emergency departments (EDs) in Queensland, Australia.Participants 3473 children screened for sepsis, of which 523 (15.1%) were diagnosed with sepsis.Interventions A 32-item paediatric sepsis screening tool including rapidly available information from triage, risk factors and targeted physical examination.Primary outcome measure Senior medical officer-diagnosed sepsis combined with the administration of intravenous antibiotics in the ED.Results The 32-item paediatric sepsis screening tool had good predictive performance (area under the receiver operating characteristic curve (AUC) 0.80, 95% CI 0.78 to 0.82). …”
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  2. 2202

    Factors accounting for limited sexual reproduction in a long-lived unisexual plant species by Irene Bisang, Flavien Collart, Flavien Collart, Alain Vanderpoorten, Lars Hedenäs

    Published 2025-02-01
    “…Successful sexual reproduction, in terms of sporophyte occurrence, was confined to central Sweden. It was predicted by intermediate to increasing precipitation seasonality and intermediate temperature values.DiscussionDespite a high level of sex-expression, and no significant differences of niche preference between males and females, sporophyte occurrences were rare. …”
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  3. 2203

    Genetic and Plasma Proteomic Approaches to Identify Therapeutic Targets for Graves’ Disease and Graves’ Ophthalmopathy by Ke C, Yu Y, Li J, Yu Y, Sun Y, Wang Y, Wang B, Lu Y, Tang M, Wang N, Chen Y

    Published 2025-02-01
    “…Then, downstream analyses were performed to detect protein interactions, gene function, cell type-specific expression and druggable information.Results: This study genetically predicted levels of 62 plasma proteins were associated with GD risk. …”
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  4. 2204

    A longitudinal study of the association between the outcome of bariatric surgery and mental health indicators in Chinese patients: an examination of the interaction effect by Hung-Yen Lin, Te-Chang Changchien, Tsung-Jen Hsieh, Cheng-Sheng Chen, Yung-Chieh Yen

    Published 2025-02-01
    “…In multiple linear regression models, the TDQ-by-follow-up duration interaction was predictive of the %TWL, and both married status and the level of tertiary education were identified as negatively associated factors. …”
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  5. 2205

    Polymorphism of renin — angiotensin system genes in progression of liver fibrosis in patients with chronic hepatitis C by O. V. Taratina, T. N. Krasnova, L. M. Samokhodskaya, T. N. Lopatkina, V. A. Tkachuk, N. A. Mukhin

    Published 2014-08-01
    “…Carriage of mutant alleles of angiotensinogen gene on any of loci (G-6A or M235T) is the factor predicting more rapid progression of disease. As chronic hepatitis C is multifactorial disease, it is rational to use testing of allelic variants of angiotensinogen gene in patient-specific approach at CHC management.…”
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  6. 2206

    Regulation of adipocyte differentiation and lipid metabolism by novel synthetic chromenes exploring anti-obesity and broader therapeutic potential by Kewalin Inthanon, Natthawut Wong-a-nan, Srisulak Dheeranupattana, Andres Garcia Guerra, Neal M. Davies, Chatchai Kesornpun, Sasithorn Sangher, Prasat Kittakoop

    Published 2025-02-01
    “…This study presents several promising prospects for the development of synthetic chromenes as potential anti-obesity agents, opening new avenues for drug discovery and benefitting individuals worldwide in addressing obesity-related challenges to human health. In addition, predictive in silico modeling was performed on the identified candidate chromenes. …”
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  7. 2207

    Safety and accuracy of digitally supported primary and secondary urgent care telephone triage in England: an observational study using routine data by Vanashree Sexton, Catherine Grimley, Jeremy Dale, Helen Atherton, Gary Abel

    Published 2025-02-01
    “…Results Sensitivity was greater in primary triage, whilst specificity was greater in secondary triage. The positive predictive value for attending ED after being assigned a triage urgency level of within 2 h was 46.0% for secondary triage compared to 20.7% for primary triage; for inpatient admission it was 18.0% and 9.2% respectively. 1.5% (n = 1468) patients triaged to same-day or less urgent care at secondary triage were subsequently admitted for in-patient care. …”
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  8. 2208

    Complete metabolic response as early predictor of long-term efficacy after adoptive T cell therapy using tumor-infiltrating lymphocytes by Rikke Andersen, Troels Holz Borch, Eva Ellebaek, Inge Marie Svane, Helle Westergren Hendel, Kasper Madsen

    Published 2025-02-01
    “…These patients might benefit from additional consolidating treatment before clinical progression, but thus far, it is not possible to identify this subgroup of patients prone to progress. In this study the predictive value of early metabolic response after TIL therapy is explored.Materials and methods: 60 patients treated with TIL therapy in 4 different clinical trials and with available [18F]2-fluoro-2-deoxy-d-glucose positron emission tomography-CT (FDG-PET/CT) scans at baseline and at least one follow-up scan 6–8 weeks and/or 12–16 weeks post-TIL infusion were included.Results: Obtaining complete metabolic response (CMR) was associated with significantly superior median overall survival (mOS) compared with not obtaining CMR (p<0.0001). …”
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  9. 2209

    Factors associated with in-hospital mortality in octogenarians managed by geriatric service in a referral hospital in Colombia by Carlos Mario Cortes Bahamon, Jenny Rodríguez Ángel, Jennifer Katherine Ballesteros Tapias, Diego Andrés Chavarro-Carvajal, Oscar Mauricio Muñoz

    Published 2025-02-01
    “…Conclusion: Factors easily identifiable at hospital admission and amenable to intervention could predict an increased risk of mortality in octogenarian patients, such as the presence of malnutrition, frailty, and delirium. …”
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  10. 2210

    UK multiple sclerosis risk-sharing scheme: a new natural history dataset and an improved Markov model by Jacqueline Palace, Martin Duddy, Thomas Bregenzer, Mike Boggild, Joel Oger, Helen Tremlett, Charles Dobson, Fheng Zhu

    Published 2014-01-01
    “…Transition probabilities were derived and different Markov models (discrete and continuous) with and without baseline covariates were applied.Setting MS clinics in Canada and the UK.Participants From the BCMS database, 898 ‘untreated’ patients with MS considered eligible for drug treatment based on the UK's Association of British Neurologists criteria.Outcome measure The predicted Expanded Disability Status Scale (EDSS) score was collected and assessed for goodness of fit when compared with actual outcome.Results The BCMS untreated cohort contributed 7335 EDSS scores over a median 6.4 years (6357 EDSS ‘transitions’ recorded at consecutive visits) during the period 1980–1995. …”
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  11. 2211

    fNIRS neurofeedback facilitates emotion regulation: Exploring individual differences over the ventrolateral prefrontal cortex by Yiwei Li, Sijin Li, Hua Li, Yuyao Tang, Dandan Zhang

    Published 2025-03-01
    “…Importantly, the benefit in emotion regulation, as reflected by decreased negativity ratings, was predicted by NF training efficiency. Furthermore, the enhancement of VLPFC activity during emotion regulation fully mediated the relationship between NF training efficiency and emotion regulation benefits. …”
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  12. 2212

    Molecular mechanisms induced by phase modifiers used in hydrometallurgy: consequences on transfer efficiency and process safety by El Maangar, Asmae, Prévost, Sylvain, Dourdain, Sandrine, Zemb, Thomas

    Published 2022-12-01
    “…This requires deciphering the molecular forces that control ion transfer beyond the classical supramolecular complexation and developing predictive models compatible with the design and control needs of recycling processes. …”
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  13. 2213

    Modeled Respiratory Tract Deposition of Smoke Aerosol from Conventional Cigarettes, Electronic Cigarettes and Heat-not-burn Products by Yawen Li, Huapeng Cui, Li Chen, Meijuan Fan, Junlan Cai, Junwei Guo, Caner U. Yurteri, Xiaoxi Si, Shaofeng Liu, Fuwei Xie, Jianping Xie

    Published 2020-12-01
    “…The aerosol properties obtained by DMS were then applied to a Multiple Path Particle Dosimetry (MPPD) model to predict the deposition of aerosol particles in the human respiratory tract. …”
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  14. 2214

    An engineering model for creeping flame spread over idealized electrical wires in microgravity by Coimbra, Alain, Li, Yutao, Guibaud, Augustin, Citerne, Jean-Marie, Legros, Guillaume, Consalvi, Jean-Louis

    Published 2023-03-01
    “…In this work, an engineering model that predicts the creeping flame spread over cylindrical wires in microgravity is developed. …”
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  15. 2215

    A Comparison of Dental Students’ Self-Assessment and Instructors’ Assessment in Competency Examinations in a Preclinical Operative Dentistry Course by Alghilan MA, Munaga S, Aldakhil A

    Published 2025-02-01
    “…There was no significant difference in the scoring of instructors and high achievers classified in the “excellent” category (p = 0.392).Conclusion: In preclinical operative dentistry education, students’ ability to accurately self-assess the quality of their work varies, and may be predicted by gender and achievement level. Students who underestimate their performance in self-assessment tend not to show improvement in their actual performance.Keywords: assessment, dental education, dental student, operative dentistry, rubric, self-assessment…”
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  16. 2216

    Neuropsychological morbidity in the First Seizure Clinic: Prominent mood symptoms and memory issues in epilepsy by Remy Pugh, David N. Vaughan, Graeme D. Jackson, Jennie Ponsford, Chris Tailby

    Published 2025-02-01
    “…Therefore, along with standard epilepsy investigations, memory performances could help to predict which patients have epilepsy versus a non‐epileptic condition after a first suspected seizure. …”
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  17. 2217

    Mid-term to long-term outcome and risk factors for failure of 158 hips with two-stage revision for periprosthetic hip joint infection by M. Abuelnour, C. McNamee, A. B. Rafi, W. Hohlbein, W. Hohlbein, P. Keogh, J. Cashman

    Published 2025-02-01
    “…Duration of antibiotics and gram-negative infection were the only predictive risk factors for re-infection. <strong>Conclusion</strong>: Our results of the two-stage revision protocol for hip PJI were satisfactory and comparable with the best reported outcomes.…”
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  18. 2218

    Effect of galectin-3 and brain natriuretic peptide levels on echocardiographic parameters of left heart chamber following coronary artery bypass grafting by Yulia A. Styazhkina, Irina F. Grishina, Nina B. Poletaeva, Tatyana F. Peretolchina, Olga V. Nikolaenko

    Published 2024-12-01
    “…AIM: To assess the diagnostic value of left heart chamber remodeling, non–conventional markers NT-proBNP and galectin-3 in predicting the risk of prolonged recovery in patients with CAD following CABG. …”
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  19. 2219

    Sistem Deteksi Dini Penyakit Preeklampsia Melalui Perubahan Warna Urine Berdasarkan Protein dengan Menggunakan Metode Naïve Bayes Classifier by Fakhrul Allaam, Barlian Henryranu Prasetio, Rizal Maulana

    Published 2023-08-01
    “…This method is used because it provides easy implementation and fast computation so that real-time predictions can be made. …”
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  20. 2220

    Identifikasi Dini Curah Hujan Berpotensi Banjir Menggunakan Algoritma Long Short-Term Memory (Lstm) Dan Isolation Forest by Ahmad Wijayanto, Aris Sugiharto, Rukun Santoso

    Published 2024-07-01
    “…The probability of high rainfall is identified to calculate water infrastructure resilience and set appropriate standards for rainy, flood-prone areas. LSTM predictions are evaluated using Mean Square Error (best 19.11) and Root Mean Square Error (best 4.37) before conducting long-term forecasting. …”
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