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predictive tools » predictive models (Expand Search), predictive model (Expand Search), predictive skill (Expand Search)
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predictive tools » predictive models (Expand Search), predictive model (Expand Search), predictive skill (Expand Search)
decrease » increase (Expand Search)
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The significance of upright T wave in lead V1 in predicting myocardial ischemia A literature review
Published 2021“…<p dir="ltr">Chest pain is still representing one of the most common and serious presentations to the emergency department worldwide. ECG is a crucial tool in evaluating patients with chest pain; however, only around 50% of patients with acute coronary syndrome (ACS) will have a diagnostic ECG upon their presentation; the rest may either have a completely normal ECG or what is called nonspecific ST segment and T wave (NSSTTW) changes, hence it is essential to recognize the subtle ECG changes and know its significance.…”
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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells
Published 2019“…Among the tested molecules, LY411575, a potent γ-secretase and Notch signaling inhibitor, exhibited significant inhibitory effects on osteoblastic differentiation of hBMSCs manifested by reduced ALP activity, mineralized matrix formation, and decreased osteoblast-specific gene expression as well as in vivo ectopic bone formation. …”
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…In this regard, engineering of brighter bioluminescent proteins, i.e. luciferases, has played a significant role. This is acutely exemplified by the engineering of the NLuc <u>luciferase</u>, which is small in size and displays much enhanced bioluminescence and<u> thermal stability</u> compared to previously available luciferases. …”
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Small molecule inhibition of stat3 enhances survival in mice with intracerebral melanoma
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Teacher's Perspectives and Professional Development Needs to Integrate AI Tools in K-12 Sector in the UAE
Published 2023“…In addition to this, TK significantly predicted Ethics. Results also revealed educators are positive and motivated to adopt AI tools, although they acknowledge the ethical implications due to the use of AI tools and demand for policies and regulations. …”
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Suppression of Unstable Flow by Using Rough Surfaces at Small Mass Flow Rates in a Radial Diffuser
Published 2006Get full text
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Prediction of EV Charging Behavior Using Machine Learning
Published 2021“…In both predictions, we demonstrate a significant improvement compared to previous work on the same dataset and we highlight the importance of traffic and weather information for charging behavior predictions.…”
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Optimizing the number of players and training bout durations in soccer small‐sided games: Effects on mood balance and technical performance
Published 2025“…Therefore, coaches should consider longer continuous bouts when planning SSGs‐based training to significantly decrease TMD and enhance technical‐tactical performance in soccer SSGs.…”
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Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through...
Published 2021“…Results The method of measuring reflectivity is good to excellent reliability for all regions of interest except the fourth. The mean reflectivity of the choriocapillaris and Sattler’s layer in amblyopic eyes were significantly lower than in healthy eyes (p = 0.003 and p = 0.008 respectively). …”
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Predictive factors for giftedness among Syrian refugee students: A focus on academic achievement, gender, and school context
Published 2023“…Middle school students were less likely to be identified compared to secondary students, while gender differences were not significant. Predictive modeling results should be interpreted with caution, as gifted identification was derived directly from the HOPE total score; models incorporating HOPE items closely mirrored the HOPE-based classification, whereas models using only demographic variables had limited discriminatory power. …”
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Gene-specific machine learning model to predict the pathogenicity of BRCA2 variants
Published 2022“…</p><p><br></p><h3>Methods</h3><p dir="ltr">We developed an XGBoost-based machine learning model to predict pathogenicity of BRCA2 variants. The model utilizes general variant information such as position, frequency, and consequence for the canonical BRCA2 transcript, as well as deleteriousness prediction scores from several tools. …”
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AI-based remaining useful life prediction and modelling of seawater desalination membranes
Published 2024Get full text
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Machine learning-based prediction of one-year mortality in ischemic stroke patients
Published 2024“…</p><h3>Conclusion</h3><p dir="ltr">This study offers a promising tool for early prediction of stroke mortality and for advancing personalized stroke care. …”
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Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression
Published 2023“…Wearable AI is a promising tool for depression detection and prediction although it is in its infancy and not ready for use in clinical practice. …”
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Using Data Mining and Text Mining Techniques in Predicting the Price of Real Estate Properties in Dubai
Published 2014“…The root mean squared errors RMSEs for all data subsets have decreased leading to enhancing the accuracy of prediction. …”
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Metabolomics-based prediction model for diabetes: A comprehensive analysis of biomarkers and machine learning approaches
Published 2025“…<h3>Aims</h3><p dir="ltr">To develop a prediction model for diabetes using metabolomics data and to evaluate various machine learning approaches and identify the most effective framework for disease prediction.…”