Showing 22,081 - 22,100 results of 23,214 for search '"Prediction', query time: 0.11s Refine Results
  1. 22081

    Foetal cerebral blood redistribution in idiopathic polyhydramnios and the impact on perinatal outcomes by Inshirah Sgayer, Yousef Haddad, Yara Nakhleh Francis, Ruba Tuma, Lior Lowenstein, Marwan Odeh

    Published 2024-12-01
    “…The aim of this study was to examine the value of the middle cerebral artery pulsatility index (MCA-PI) in predicting adverse perinatal outcome in pregnancies affected by idiopathic polyhydramnios.Methods A retrospective study was performed during 2013–2022 at a tertiary-care university affiliated hospital. …”
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  2. 22082

    Deletion of cyclin dependent kinase inhibitor 2a gene as a marker of oropharyngeal carcinomas non-associated with human papillomavirus and its prognostic value by I.S. Shponka, Bondarenko O.O. Bondarenko ч, O.V. Kovtunenko, V.V. Rakhmanov

    Published 2024-06-01
    “…Our findings suggest that not only detection of the loss of p16 expression, but also the evaluation of homozygous cyclin dependent kinase inhibitor 2a gene deletion might be predictive of worse outcome specifically in oropharyngeal squamous cell carcinomas.…”
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  3. 22083

    The influence of the forest corridors to the north of the Andes on the diversification of the bright‐rumped Attila, Attila spadiceus (Passeriformes, Tyrannidae), during the climati... by Patrícia Mendonça, Lincoln Silva Carneiro, Victor Leandro‐Silva, Alexandre Aleixo, Juliana Araripe, Péricles S. Rêgo

    Published 2025-01-01
    “…We used Ecological Niche Modeling (ENM) with six different algorithms to predict the potential distribution of A. spadiceus in both present‐day and past scenarios, examining the overlap climatic niche between Cis‐ and Trans‐Andean lineages. …”
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  4. 22084

    An integrated approach to flood risk assessment using multi-criteria decision analysis and geographic information system. A case study from a flood-prone region of Pakistan by Muhammad Ibrahim, Aidi Huo, Aidi Huo, Aidi Huo, Waheed Ullah, Safi Ullah, Zhao Xuantao

    Published 2025-01-01
    “…Selecting average precipitation, peak river flow, and historical flood frequency as indicators, the weights of the three are 0.4, 0.3, and 0.3 respectively, an indicator system for predicting flood disasters was constructed. The results categorised the study area into four hazard zones: very high, high, medium, and low, based on their susceptibility to flood hazards. …”
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  5. 22085

    Emerging Challenges in Methicillin Resistance of Coagulase-Negative Staphylococci by Marta Katkowska, Maja Kosecka-Strojek, Mariola Wolska-Gębarzewska, Ewa Kwapisz, Maria Wierzbowska, Jacek Międzobrodzki, Katarzyna Garbacz

    Published 2025-01-01
    “…The disc-diffusion method with oxacillin accurately predicted OS-MRCoNS strains but did not provide reliable results for BORCoNS strains. …”
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  6. 22086

    UAV rice panicle blast detection based on enhanced feature representation and optimized attention mechanism by Shaodan Lin, Deyao Huang, Libin Wu, Zuxin Cheng, Dapeng Ye, Haiyong Weng

    Published 2025-02-01
    “…Correlation coefficient analysis across disease severity levels indicates high consistency between predictions and ground truth, with values ranging from 0.962 to 0.993. …”
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  7. 22087

    Predictores psicológicos de lesión en jóvenes deportistas / Psychological Predictors of Injury in Young Athletes by Rosendo Berengüí-Gil, Jorge L. Puga

    Published 2015-12-01
    “…We now better understand the importance of psychological variables in the origin of injuries, a number of previous studies have identified certain factors that could predict sports injuries. The aim of this study is to analyze the influence of psychological characteristics associated with athletic performance, competitive trait anxiety and mood in injury occurrence. …”
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  8. 22088

    Perianal Paget’s Disease: The 17-Year-Experience of a Single Institution in Taiwan by Yu-Chen Wang, Anna Fen-Yau Li, Shung-Haur Yang, Hsiu-Hsun Ma, Wen-Yih Liang

    Published 2019-01-01
    “…The CK7, CK20, CDX2, and GCDFP-15 immunostaining results for the PPD patients were not predictive of primary or secondary type.…”
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  9. 22089

    Synovial biomarkers in the diagnosis of post-traumatic osteoarthritis following anterior cruciate ligament and meniscus injuries: protocol for a systematic review by Helena Donato, Fernando Fonseca, João Pedro Oliveira, João Castro Mendes, José Casanova, Alexandrina Ferreira Mendes

    Published 2025-01-01
    “…Introduction This review aims to synthesise research evidence regarding biomarkers in the synovial fluid that may predict the risk of post-traumatic osteoarthritis (PTOA) in young adults. …”
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  10. 22090

    RETRACTED ARTICLE: Construction and validation of a machine learning-based immune-related prognostic model for glioma by Qi Mao, Zhi Qiao, Qiang Wang, Wei Zhao, Haitao Ju

    Published 2024-10-01
    “…In which the Lasso + plsRcox algorithm demonstrated the best predictive performance. The model showed a good ability to distinguish two groups in both the training and test sets. …”
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  11. 22091

    Relationship between White Blood Count to Mean Platelet Volume Ratio and Clinical Outcomes and Severity of Coronary Artery Disease in Patients Undergoing Primary Percutaneous Coron... by Altekin Refik Emre, Kilinc Ali Yasar, Yanikoglu Atakan, Cicekcibasi Orhan, Kucuk Murathan

    Published 2020-01-01
    “…A higher WMR value on admission was associated with worse outcomes in patients with P-PCI and independently predicted for follow-up MACEs. The WMR provides both a rapid and an easily obtainable parameter to identify reliably high-risk patients who underwent primary percutaneous coronary intervention due to STEMI.…”
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  12. 22092

    Association between serum total indoxyl sulfate, intraperitoneal inflammation, and peritoneal dialysis technique failure: a 3-year prospective cohort study by Natalia Stepanova, Victoria Driianska, Lesya Korol, Lyudmyla Snisar

    Published 2024-12-01
    “…Serum tIS levels ≥ 50 µmol/L predicted PD technique failure with 70.4% sensitivity and 87.9% specificity (p < 0.0001). …”
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  13. 22093

    Exploring the genetic correlation and causal relationships between breast cancer and meningioma using bidirectional Mendelian randomization by Lu Ding, Bo Chen, Zhou Zhou, Zhaojun Mei, Kan Cao, Xinyu Lu, Wei Chen

    Published 2025-02-01
    “…After rigorous screening and Mendelian randomization (MR) tests, genetically predicted overall BC (OR: 1.17, P = 0.0045) and ER(estrogen receptors) + BC (OR: 1.21, P = 0.0006) showed a potential causal association with intracranial meningioma. …”
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  14. 22094

    Molecular Characterization and Clinical Characteristics of m5C-Based RNA Methylation in Spinal Cord Injury: Validated by qPCR by Liang Cao, Wen Jun Pi, Qiang Zhang, Qing Li

    Published 2022-01-01
    “…We constructed a “gene signature” of m5C-based regulators of RNA modification to predict the prognosis of SCI using least absolute shrinkage and selection operator regression and random-forest strategy. …”
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  15. 22095

    Genome-wide identification of CAMTA gene family in teak (Tectona grandis) and functional characterization of TgCAMTA1 and TgCAMTA3 in cold tolerance by Wenlong Zhou, Jian Du, Runjie Jiao, Xianbang Wang, Tiansong Fang, Guihua Huang

    Published 2025-01-01
    “…The encoded proteins were predicted to be located in the nucleus and exhibited hydrophilic properties, with molecular weights ranging from 103.4 to 123.3 kDa and isoelectric points ranging from 5.49 to 7.55. …”
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  16. 22096

    Identifying Preferred Features of Influenza Vaccination Programs Among Chinese Clinicians Practicing Traditional Chinese Medicine and Western Medicine: Discrete Choice Experiment by Liuren Zhang, Linchen Chu, Maria E Sundaram, Yi Zhou, Xiu Sun, Zheng Wei, Chuanxi Fu

    Published 2025-01-01
    “…Simulations from choice models using the experimental data generated the coefficients of preference and predicted the uptake rate of different influenza vaccination programs. …”
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    Article
  17. 22097

    Contextualization of Trait Nexus and Gene Action for Quantitative and Qualitative Characteristics in Indian Mustard by Sumanta Prasad Chand, Sandip Debnath, Mehdi Rahimi, Mohd. Shaikhul Ashraf, Pankaj Bhatt, Saima Ahmed Rahin

    Published 2022-01-01
    “…Punjab Local was discovered to be an excellent general merge for reducing crop duration, whereas JD6 was an excellent combiner for seed yield per crop, aphid infestation indicator, seed yield per crop, and oil production per plant. The predictability ratio was found to be less than 0.5 for almost all traits, denoting that the nonadditive gene measure is involved in controlling the nature except days to 50% flowering, aphid infestation index, oil content, and oil yield per plant. …”
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  18. 22098

    Rational strategies for designing next-generation oncolytic viruses based on transcriptome analysis of tumor cells infected with oncolytic herpes simplex virus-1 by Naeme Javid, Shahriyar Abdoli, Majid Shahbazi, Majid Shahbazi

    Published 2025-01-01
    “…Analysis of gene expression by qRT-PCR and differential gene expression revealed that GADD45g genes can be effective genes in the proliferation of oncolytic HSV-1 virus.ConclusionThe transcriptome changes in tumor cells infected by oHSV-1 may be utilized to predict oncolytic efficacy and provide rational strategies for designing next-generation oncolytic viruses.…”
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  19. 22099

    Time to recovery of COVID-19 patients and its predictors: a retrospective cohort study in HUCSH, Sidama, Ethiopia by Ali B. Anteneh, Zeytu Gashaw Asfaw

    Published 2025-01-01
    “…Identifying predictors can help ease economic impact of illness.Therefore, this research aimed to examine the demographics, clinical features, and recovery time of COVID-19 patients, as well as determine predictive markers for severe adverse outcomes. Methods Study at Hawassa University Comprehensive Speciality Hospital COVID-19 quarantine and therapy facility in Ethiopia (Sep 24, 2020 - Nov 26, 2021) with 804 patients. …”
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  20. 22100

    Identification of Parkinson’s disease using MRI and genetic data from the PPMI cohort: an improved machine learning fusion approach by Yifeng Yang, Liangyun Hu, Yang Chen, Weidong Gu, Guangwu Lin, YuanZhong Xie, Shengdong Nie

    Published 2025-02-01
    “…Two multi-modal fusion strategies were used: feature-level fusion, where we employed a hybrid feature selection algorithm combining Fisher discriminant analysis, an ensemble Lasso (EnLasso) method, and partial least squares (PLS) regression to identify and integrate the most informative features from neuroimaging and genetic data; and decision-level fusion, where we developed an adaptive ensemble stacking (AE_Stacking) model to synergistically integrate the predictions from multiple base classifiers trained on individual modalities.ResultsThe AE_Stacking model achieving the highest average balanced accuracy of 95.36% and an area under the receiver operating characteristic curve (AUC) of 0.974, significantly outperforming feature-level fusion and single-modal models (p &lt; 0.05). …”
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