Resultados de búsqueda - "Machine Learning"

Machine learning models for predicting depression in Korean young employees por Suk-Sun Kim, Minji Gil, Eun Jeong Min

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Machine Learning Detects Intraventricular Haemorrhage in Extremely Preterm Infants por Minoo Ashoori, John M. O'Toole, Ken D. O'Halloran, Gunnar Naulaers, Liesbeth Thewissen, Jan Miletin, Po-Yin Cheung, Afif EL-Khuffash, David Van Laere, Zbyněk Straňák, Eugene M. Dempsey, Fiona B. McDonald

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Machine learning assessment of risk factors for depression in later adulthood por Fengqing Zhang, Jiangtao Gou

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Applications and effectiveness of artificial intelligence and machine learning techniques in physiotherapy por María Belén Pérez García, Sonia Alexandra Álvarez Carrión, Henry Mauricio Villa Yánez, Guido Javier Mazón Fierro

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The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review por Zainab Jan, Noor AI-Ansari, Osama Mousa, Alaa Abd-alrazaq, Arfan Ahmed, Tanvir Alam, Mowafa Househ

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Predicting pharmaceutical inkjet printing outcomes using machine learning por Paola Carou-Senra, Jun Jie Ong, Brais Muñiz Castro, Iria Seoane-Viaño, Lucía Rodríguez-Pombo, Pedro Cabalar, Carmen Alvarez-Lorenzo, Abdul W. Basit, Gilberto Pérez, Alvaro Goyanes

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Data-Driven Approaches in Antimicrobial Resistance: Machine Learning Solutions por Aikaterini Sakagianni, Christina Koufopoulou, Petros Koufopoulos, Sofia Kalantzi, Nikolaos Theodorakis, Maria Nikolaou, Evgenia Paxinou, Dimitris Kalles, Vassilios S. Verykios, Pavlos Myrianthefs, Georgios Feretzakis

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Harnessing the potential of machine learning for advancing "Quality by Design" in biomanufacturing por Ian Walsh, Matthew Myint, Terry Nguyen-Khuong, Ying Swan Ho, Say Kong Ng, Meiyappan Lakshmanan

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Machine learning models for rat multigeneration reproductive toxicity prediction por Jie Liu, Wenjing Guo, Fan Dong, Jason Aungst, Suzanne Fitzpatrick, Tucker A. Patterson, Huixiao Hong

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Machine learning algorithms for predicting COVID-19 mortality in Ethiopia por Melsew Setegn Alie, Yilkal Negesse, Kassa Kindie, Dereje Senay Merawi

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Participatory Machine Learning Using Community-Based System Dynamics por Vinodkumar Prabhakaran, Donald Martin

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Identifying mouse developmental essential genes using machine learning por David Tian, Stephanie Wenlock, Mitra Kabir, George Tzotzos, Andrew J. Doig, Kathryn E. Hentges

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Tracking Health, Performance and Recovery in Athletes Using Machine Learning por Denis V. Petrovsky, Vasiliy I. Pustovoyt, Kirill S. Nikolsky, Kristina A. Malsagova, Arthur T. Kopylov, Alexander A. Stepanov, Vladimir. R. Rudnev, Evgenii I. Balakin, Anna L. Kaysheva

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Application of machine learning to identify risk factors of birth asphyxia por Fatemeh Darsareh, Amene Ranjbar, Mohammadsadegh Vahidi Farashah, Vahid Mehrnoush, Mitra Shekari, Malihe Shirzadfard Jahromi

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Application of machine learning to predict unbound drug bioavailability in the brain por J. Francisco Morales, J. Francisco Morales, M. Esperanza Ruiz, M. Esperanza Ruiz, Robert E. Stratford, Alan Talevi, Alan Talevi

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Machine Learning Predicts Drug Metabolism and Bioaccumulation by Intestinal Microbiota por Laura E. McCoubrey, Stavriani Thomaidou, Moe Elbadawi, Simon Gaisford, Mine Orlu, Abdul W. Basit

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Machine learning in the detection of dental cyst, tumor, and abscess lesions por Vyshiali Sivaram Kumar, Pradeep R. Kumar, Pradeep Kumar Yadalam, Raghavendra Vamsi Anegundi, Deepti Shrivastava, Ahmed Ata Alfurhud, Ibrahem T. Almaktoom, Sultan Abdulkareem Ali Alftaikhah, Ahmed Hamoud L Alsharari, Kumar Chandan Srivastava

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Predicting Kidney Transplantation Outcomes Using Machine Learning Techniques por fariba Moalem Borazjani, Azita Yazdani, Reza Safdari, Seyed Mansoor Gatmiri

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The early prediction of gestational diabetes mellitus by machine learning models por Yeliz Kaya, Zafer Bütün, Özer Çelik, Ece Akça Salik, Tuğba Tahta, Arzu Altun Yavuz

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An industry perspective on the use of machine learning in drug and vaccine safety por Jeffery L. Painter, Raymond Kassekert, Andrew Bate, Andrew Bate

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