Resultados de búsqueda - "Machine Learning"

Using Machine Learning for Pharmacovigilance: A Systematic Review por Patrick Pilipiec, Marcus Liwicki, András Bota

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Novel Cocrystals of Vonoprazan: Machine Learning-Assisted Discovery por Min-Jeong Lee, Ji-Yoon Kim, Paul Kim, In-Seo Lee, Medard E. Mswahili, Young-Seob Jeong, Guang J. Choi

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Machine learning methods for adult OSAHS risk prediction por Shanshan Ge, Kainan Wu, Shuhui Li, Ruiling Li, Caizheng Yang

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Navigating the Frontiers of Machine Learning in Neurodegenerative Disease Therapeutics por Yoonjeong Cha, Mohamedi N. Kagalwala, Jermaine Ross

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Editorial: Artificial intelligence and machine learning in pediatric surgery por Rosa Verhoeven, Rosa Verhoeven, Jan B. F. Hulscher

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Comment on: Machine Learning for Understanding and Predicting Injuries in Football por Garrett S. Bullock, Patrick Ward, Gary S. Collins, Tom Hughes, Franco Impellizzeri

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Handling DNA malfunctions by unsupervised machine learning model por Mutaz Kh. Khazaaleh, Mohammad A. Alsharaiah, Wafa Alsharafat, Ahmad Adel Abu-Shareha, Feras A. Haziemeh, Malek M. Al-Nawashi, Mwaffaq abu alhija

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Evaluation of four machine learning models for signal detection por Daniel G. Dauner, Eleazar Leal, Terrence J. Adam, Rui Zhang, Joel F. Farley

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Machine learning to predict untreated dental caries in adolescents por Rafael Aiello Bomfim

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Machine learning application in soccer: a systematic review por Markel Rico-González, José Pino-Ortega, Amaia Méndez, Filipe Clemente, Arnold Baca

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Editorial: The Potential of Machine Learning in Pharmacogenetics, Pharmacogenomics and Pharmacoepidemiology por Augusto Garcia-Agundez, Elena García-Martín, Carsten Eickhoff

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A tutorial on machine learning for interactive pedagogical systems por Francisco S Melo, Samuel Mascarenhas, Ana Paiva

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Identification of Novel Antibacterials Using Machine Learning Techniques por Yan A. Ivanenkov, Yan A. Ivanenkov, Yan A. Ivanenkov, Yan A. Ivanenkov, Alex Zhavoronkov, Renat S. Yamidanov, Renat S. Yamidanov, Ilya A. Osterman, Ilya A. Osterman, Petr V. Sergiev, Petr V. Sergiev, Vladimir A. Aladinskiy, Vladimir A. Aladinskiy, Anastasia V. Aladinskaya, Anastasia V. Aladinskaya, Victor A. Terentiev, Victor A. Terentiev, Victor A. Terentiev, Mark S. Veselov, Mark S. Veselov, Mark S. Veselov, Andrey A. Ayginin, Andrey A. Ayginin, Victor G. Kartsev, Dmitry A. Skvortsov, Dmitry A. Skvortsov, Alexey V. Chemeris, Alexey Kh. Baimiev, Alina A. Sofronova, Alexander S. Malyshev, Gleb I. Filkov, Dmitry S. Bezrukov, Dmitry S. Bezrukov, Bogdan A. Zagribelnyy, Evgeny O. Putin, Maria M. Puchinina, Olga A. Dontsova, Olga A. Dontsova, Olga A. Dontsova

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Editorial: Machine Learning and Wearable Technology in Sleep Medicine por Timo Leppänen, Timo Leppänen, Timo Leppänen, Carolina Varon, Massimiliano de Zambotti, Sami Myllymaa, Sami Myllymaa

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Three machine learning models for the 2019 Solubility Challenge por John Mitchell

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Promise and Provisos of Artificial Intelligence and Machine Learning in Healthcare por Bhardwaj A

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Machine Learning in Dermatology: Current Applications, Opportunities, and Limitations por Stephanie Chan, Vidhatha Reddy, Bridget Myers, Quinn Thibodeaux, Nicholas Brownstone, Wilson Liao

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Prediction of absenteeism in public schools teachers with machine learning por Fernando Timoteo Fernandes, Alexandre Dias Porto Chiavegatto Filho

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Application of machine learning to understand child marriage in India por Anita Raj, Nabamallika Dehingia, Abhishek Singh, Lotus McDougal, Julian McAuley

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Machine learning and artificial intelligence: applications in healthcare epidemiology por Alisa J. Hamilton, Alexandra T. Strauss, Diego A. Martinez, Jeremiah S. Hinson, Scott Levin, Gary Lin, Eili Y. Klein

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