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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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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Optimizing Cardiovascular Risk Management in Primary Care Using a Personalized eCoach Solution Enhanced by an Artificial Intelligence–Driven Clinical Prediction Model: Protocol fro... by Rutger van Mierlo, Bart Scheenstra, Joost Verbeek, Anke Bruninx, Petros Kalendralis, Inigo Bermejo, Andre Dekker, Arnoud van 't Hof, Marieke Spreeuwenberg, Laura Hochstenbach

“…Identifying apparently healthy individuals at risk of developing cardiovascular diseases using clinical prediction models raises awareness, facilitates shared decision-making, and supports tailored management of disease prevention. …”
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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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Gas Consumption Accounting and Prediction for Medium and Thick Steel Slabs: A Method Combining Batch Integrity and Heat Absorption Ratio by Qiang Guo, Xinyu Liang, Kai Wang, Yong Song

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High-resolution spatial prediction of anemia risk among children aged 6 to 59 months in low- and middle-income countries by Johannes Seiler, Mattias Wetscher, Kenneth Harttgen, Jürg Utzinger, Nikolaus Umlauf

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Artificial Intelligence as a Potential Tool for Predicting Surgical Margin Status in Early Breast Cancer Using Mammographic Specimen Images by David Andras, Radu Alexandru Ilies, Victor Esanu, Stefan Agoston, Tudor Florin Marginean Jumate, George Calin Dindelegan

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Characteristics of Spatial and Temporal Evolution of Coastal Wetland Landscape Patterns and Prediction Analysis—A Case Study of Panjin Wetland, China by Qian Cheng, Ruixin Chen, Wei Xu, Meiqing Wang

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Relationship between clinical features and distant metastases in rectal cancer predicted based on a nomogram: a retrospective cohort study by Qiong Jia, Guoli Li, Min Zhang, Mingyue Guo

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Burden of autism spectrum disorder in Japan from 1992 to 2021 and its prediction until 2050: results from the GBD study by Jiabo Liu, Xiaoyan Xie, Yunxi Li, Yiqi Pu, Yan Li, Lingling Yang

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The application of near‐infrared spectroscopy to predict composition, gross energy yield, and methane production of natural forages on the Qinghai–Tibet Plateau by Runze Wang, Huakun Zhou, Yayu Huang, Allan Degen, Xueyan Du, Muhammad Irfan Malik, Rongzhen Zhong, Binqiang Bai, Lizhuang Hao

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Identifying psychosocial characteristics that predict outcome to the UPLIFT programme for people with persistent back pain: protocol for a prospective cohort study by Pim Cuijpers, Hayley Thomson, Jonathon Dearness, John Kelley, Kylie Conway, Collette Morris, Leanne Bisset, Gwendolijne Scholten-Peeters, Michel W Coppieters

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Prediction of time averaged wall shear stress distribution in coronary arteries’ bifurcation varying in morphological features via deep learning by Mohammad Hossein Sarkhosh, Mohammad Hossein Sarkhosh, Hadis Edrisnia, Mohammad Reza Raveshi, Mahkame Sharbatdar

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