Leveraging LSTM, tactile sensors, and haptic feedback to augment prosthetic control via grasp type prediction and grasp type feedback by Sudhir Solomon Zhuwawu, Haitham El-Hussieny

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From Baseline to Best Practice: An Advanced Feature Selection, Feature Resampling and Grid Search Techniques to Improve Injury Severity Prediction by Soukaina EL Ferouali, Zouhair Elamrani Abou Elassad, Sara Qassimi, Abdelmounaîm Abdali

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A convolutional neural network-based deep learning approach for predicting surface chloride concentration of concrete in marine tidal zones by Mohamed Abdellatief, Mahmoud E. Abd-Elmaboud, Mohamed Mortagi, Ahmed M. Saqr

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Prediction of gene expression-based breast cancer proliferation scores from histopathology whole slide images using deep learning by Andreas Ekholm, Yinxi Wang, Johan Vallon-Christersson, Constance Boissin, Mattias Rantalainen

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mRNA expression levels in failing human hearts predict cellular electrophysiological remodeling: a population-based simulation study. by John Walmsley, Jose F Rodriguez, Gary R Mirams, Kevin Burrage, Igor R Efimov, Blanca Rodriguez

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Enhancing landslide dam stability prediction: a data-driven framework integrating missing data imputation and optimal threshold discrimination by Xiaojun Li, Xiaobo Zhang, Jun He, Yixiang Song, Yanqi Li

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Predicting Medical Adherence based on Attachment Styles by Considering the Mediating Role of Emotional Regulation in Patients with Chronic Peptic Ulcer Disease by Abbas Keyvanloo, Aliakbar Saremi, Reza Nouri

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Limitations of Binary Classification for Long-Horizon Diagnosis Prediction and Advantages of a Discrete-Time Time-to-Event Approach: Empirical Analysis by De Rong Loh, Elliot D Hill, Nan Liu, Geraldine Dawson, Matthew M Engelhard

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Prediction of Treatment Recommendations Via Ensemble Machine Learning Algorithms for Non-Small Cell Lung Cancer Patients in Personalized Medicine by Hojin Moon, Lauren Tran, Andrew Lee, Taeksoo Kwon, Minho Lee

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Recent Advancements in Neuroimaging‐Based Alzheimer's Disease Prediction Using Deep Learning Approaches in e‐Health: A Systematic Review by Zia‐Ur‐Rehman, Mohd Khalid Awang, Ghulam Ali, Muhammad Faheem

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Segmentation of Energy Consumption Using K-Means: Applications in Tariffing, Outlier Detection, and Demand Prediction in Non-Smart Metering Systems by Darío Muyulema-Masaquiza, Manuel Ayala-Chauvin

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Analysis of the deployment scale and investment prediction of China's coal power carbon capture technology under typical scenarios before 2050. by Jianfang Zong, Qing Ding, Haitao Wang, Xinyu Cao, Jie Wei

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A clinical risk score to predict in-hospital mortality in critically ill patients with COVID-19: a retrospective cohort study by Imran Iqbal, Abderrahim Oulhaj, Javaid Nauman, Salem Alkaabi, Asma Alnuaimi, Mariam Alharbi, Mohammed A Amari, Rajiv Ganapathy

“…We developed a freely available web-based risk calculator (https://icumortalityrisk.shinyapps.io/ICUrisk/).Conclusion In critically ill patients with COVID-19, we identified factors associated with mortality, and developed a risk prediction tool that showed high predictive ability. …”
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Diagnostic performance of DCE-MRI radiomics in predicting axillary lymph node metastasis in breast cancer patients: A meta-analysis. by Fei Dong, Jie Li, Junbo Wang, Xiaohui Yang

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Mobile application based on KDD to predict high-crime areas and promote sustainability in citizen security in a district of Lima-Perú by Hugo Vega-Huerta, Javier Vilca Velasquez, Nicolas Anicama Espinoza, Gisella Luisa Elena Maquen-Niño, Luis Guerra-Grados, Jorge Pantoja-Collantes, Oscar Benito-Pacheco, Juan Carlos Lázaro-Guillermo, Adegundo Camara-Figueroa, Javier Cabrera-Díaz, Rubén Gil-Calvo, Frida López-Córdova

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Species-specific variation in predicted distribution and habitat suitability of phlebotomine sand flies in Italy under different climate change scenarios by Camila González, Johan Manuel Calderón, Ana María López, Ilaria Bernardini, Luigi Gradoni, Marco Pombi, Gioia Bongiorno, Simona Gabrielli

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Transforming breast cancer care: harnessing the power of artificial intelligence and imaging for predicting pathological complete response. a narrative review by Kulsoom Shaikh, Mehwish Mooghal, Abdullah Ameen, Wajiha Khan, Sana Zeeshan, Lubna Mushtaq Vohra

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Predicting alveolar nerve injury and the difficulty level of extraction impacted third molars: a systematic review of deep learning approaches by Hamza Al Salieti, Hanan M. Qasem, Sakhr Alshwayyat, Sakhr Alshwayyat, Sakhr Alshwayyat, Noor Almasri, Mustafa Alshwayyat, Amira A. Aboali, Farah Alsarayrah, Lina Khasawneh, Mohammed Al-mahdi Al-kurdi

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The use of heart rate variability, oxygen saturation, and anthropometric data with machine learning to predict the presence and severity of obstructive sleep apnea by Rafael Rodrigues dos Santos, Matheo Bellini Marumo, Alan Luiz Eckeli, Helio Cesar Salgado, Luiz Eduardo Virgílio Silva, Renato Tinós, Rubens Fazan

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Efficiency of Stochastic Finite Element Random Fields and Variables to Predict Shear Strength of Fiber-Reinforced Concrete Beams Without Stirrups by Maria Ghannoum, Lara Shamoun, Dana Nasr, Joseph J. Assaad, Hassen Riahi, Jamal Khatib

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