Utilizing machine learning algorithms for predicting Anxiety-Depression Comorbidity Syndrome in Gastroenterology Inpatients (ADCS-GI) by Min Tan, Jinjin Zhao, Yushun Tao, Uroosa Sehar, Yan Yan, Qian Zou, Qing Liu, Long Xu, Zeyang Xia, Lijuan Feng, Jing Xiong

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Predicting Heat Treatment Duration for Pest Control Using Machine Learning on a Large-Scale Dataset by Stavros Rossos, Paraskevi Agrafioti, Vasilis Sotiroudas, Christos G. Athanassiou, Efstathios Kaloudis

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Mean daily temperatures predict the thermal limits of malaria transmission better than hourly rate summation by Marta S. Shocket, Joey R. Bernhardt, Kerri L. Miazgowicz, Alyzeh Orakzai, Van M. Savage, Richard J. Hall, Sadie J. Ryan, Courtney C. Murdock

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Using artificial neural networks to predict the compressive strength of cement and sawdust ash-treated lateritic soil by James Ukpai, Ugochukwu Okonkwo

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Combining molecular characteristics and therapeutic analysis of PDOs predict clinical responses and guide PDAC personalized treatment by Peng Li, Minli Huang, Mengyao Li, Gen Li, Yifan Ma, Yong Zhao, Xiaowu Wang, Yongbin Zhang, Changhong Shi

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The predictive value of early behavioural assessments in pet dogs--a longitudinal study from neonates to adults. by Stefanie Riemer, Corsin Müller, Zsófia Virányi, Ludwig Huber, Friederike Range

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An Approach for Prediction of Acute Hypotensive Episodes via the Hilbert-Huang Transform and Multiple Genetic Programming Classifier by Dazhi Jiang, Liyu Li, Bo Hu, Zhun Fan

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AI-based prediction and detection of early-onset of digital dermatitis in dairy cows using infrared thermography by Marcelo Feighelstein, Amir Mishael, Tamir Malka, Jennifer Magana, Dinu Gavojdian, Anna Zamansky, Amber Adams-Progar

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TAE Predict: An Ensemble Methodology for Multivariate Time Series Forecasting of Climate Variables in the Context of Climate Change by Juan Frausto Solís, Erick Estrada-Patiño, Mirna Ponce Flores, Juan Paulo Sánchez-Hernández, Guadalupe Castilla-Valdez, Javier González-Barbosa

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Predicting Landslide Deposit Zones: Insights from Advanced Sampling Strategies in the Ilopango Caldera, El Salvador by Laura Paola Calderon-Cucunuba, Abel Alexei Argueta-Platero, Tomás Fernández, Claudio Mercurio, Chiara Martinello, Edoardo Rotigliano, Christian Conoscenti

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A machine-learning approach for predicting butyrate production by microbial consortia using metabolic network information by Claudia Silva-Andrade, Sergio Hernández, Pedro Saa, Ernesto Perez-Rueda, Daniel Garrido, Alberto J. Martin

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The association of Whole and Segmental Body Composition and Anaerobic Performance in Crossfit® athletes: sex differences and performance prediction by Tomás Ponce-García, Jerónimo García-Romero, Laura Carrasco-Fernández, Alejandro Castillo-Dominguez, Javier Benítez-Porres

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AI predicting recurrence in non-muscle-invasive bladder cancer: systematic review with study strengths and weaknesses by Saram Abbas, Rishad Shafik, Naeem Soomro, Rakesh Heer, Rakesh Heer, Kabita Adhikari

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Predicting immunotherapy response of advanced bladder cancer through a meta-analysis of six independent cohorts by Lilian Marie Boll, Sergio Vázquez Montes de Oca, Marta E. Camarena, Robert Castelo, Joaquim Bellmunt, Júlia Perera-Bel, M. Mar Albà

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MVHGCN: Predicting circRNA-disease associations with multi-view heterogeneous graph convolutional neural networks. by Yan Miao, Xuan Tang, Chunyu Wang, Zhenyuan Sun, Guohua Wang, Shan Huang

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Enhancing predictive maintenance in automotive industry: addressing class imbalance using advanced machine learning techniques by Yashashree Mahale, Shrikrishna Kolhar, Anjali S. More

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The Choice of Funding Sources for Start-Ups in a Transitional Economy: The Ability to Predict in a National Context  by Olga Obraztsova, Tatiana Poliakova, Ekaterina Popovskaya

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Machine Learning-Based Harvest Date Detection and Prediction Using SAR Data for the Vojvodina Region (Serbia) by Gordan Mimić, Amit Kumar Mishra, Miljana Marković, Branislav Živaljević, Dejan Pavlović, Oskar Marko

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Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction and replication study. by Elodie Germani, Nikhil Bhagwat, Mathieu Dugré, Rémi Gau, Albert A Montillo, Kevin P Nguyen, Andrzej Sokolowski, Madeleine Sharp, Jean-Baptiste Poline, Tristan Glatard

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Predicting maintenance lithium response for bipolar disorder from electronic health records—a retrospective study by Joseph F. Hayes, Fehmi Ben Abdesslem, Sandra Eloranta, David P. J. Osborn, Magnus Boman

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