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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Predicting student next-term performance in degree programs using AI-based approach: a case study from Ghana by John-Bosco Diekuu, M. S. Mekala, Ulric Sena Abonie, John Isaacs, Eyad Elyan

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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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An equipment behavioral study in fluidic production processes using data for an optimized predictive maintenance: Application to pneumatic valves in biopharmaceutical Industry by Wadel Florent, Tighazoui Ayoub, Houssin Remy, Coulibaly Amadou

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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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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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Graph Attention Neural Network Model With Behavior Features for Knowledge Tracking by Wei Zhang, Sen Hu, Kaiyuan Qu

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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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A predictive analysis of risk factors contributing to low examination registration rate by secondary schools’ learners in Zimbabwe’s rural areas by Taruvinga Muzingili, Willard Muntanga, Laison Mwiinde, Quegas Mutale, Weston Chidyausiku

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Combination of urinary biomarkers can predict cardiac surgery-associated acute kidney injury: a systematic review and meta-analysis by Nikolett Kiss, Márton Papp, Caner Turan, Tamás Kói, Krisztina Madách, Péter Hegyi, László Zubek, Zsolt Molnár

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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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Compressibility of dense nuclear matter in the ρ-meson variant of the Skyrme model by Miguel Huidobro, Paul Leask, Carlos Naya, Andrzej Wereszczyński

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A simple model of the attentional blink and its modulation by mental training. by Nadav Amir, Naftali Tishby, Israel Nelken

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