Search Results - "Machine Learning"

Neural effects of dopaminergic compounds revealed by multi-site electrophysiology and interpretable machine-learning by Sampath K. T. Kapanaiah, Holger Rosenbrock, Bastian Hengerer, Dennis Kätzel

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Machine learning classification of polycystic ovary syndrome based on radial pulse wave analysis by Jiekee Lim, Jieyun Li, Xiao Feng, Lu Feng, Yumo Xia, Xinang Xiao, Yiqin Wang, Zhaoxia Xu

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Comparison of the performance of machine learning algorithms in breast cancer screening and detection: A protocol by Zakia Salod, Yashik Singh

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Editorial: Artificial intelligence and machine learning for drug discovery, design and repurposing: methods and applications by Pan Zheng, Xiangxiang Zeng, Xun Wang, Pingjian Ding

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Predicting Depression: a comparative study of machine learning approaches based on language usage. by Luciana Mariñelarena-Dondena, Edgardo Ferretti, Manolis Maragoudakis, Maximiliano Sapino, Marcelo Luis Errecalde

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Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach by Zhu, Jane M, Sarker, Abeed, Gollust, Sarah, Merchant, Raina, Grande, David

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Main factors influencing recovery in MERS Co-V patients using machine learning by Maya John, Hadil Shaiba

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Machine learning discriminates a movement disorder in a zebrafish model of Parkinson's disease by Gideon L. Hughes, Michael A. Lones, Matthew Bedder, Peter D. Currie, Stephen L. Smith, Mary Elizabeth Pownall

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Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy by Gabriel Cubillos, Max Monckeberg, Alejandra Plaza, Maria Morgan, Pablo A. Estevez, Mahesh Choolani, Matthew W. Kemp, Sebastian E. Illanes, Claudio A. Perez

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An evaluation of cervical maturity for Chinese women with labor induction by machine learning and ultrasound images by Yan-Song Liu, Shan Lu, Hong-Bo Wang, Zheng Hou, Chun-Yu Zhang, Yi-Wen Chong, Shuai Wang, Wen-Zhong Tang, Xiao-Lei Qu, Yan Zhang

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Machine learning to deep learning: Artificially intelligent approaches toward precision in public health by Arista Lahiri, Sweety Suman Jha

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Enhancing Pediatric Adnexal Torsion Diagnosis: Prediction Method Utilizing Machine Learning Techniques by Ahmad Turki, Enas Raml

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Insights Into Detecting Adult ADHD Symptoms Through Advanced Dual-Stream Machine Learning by Christian Nash, Rajesh Nair, Syed Mohsen Naqvi

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A Comparison of Nine Machine Learning Mutagenicity Models and Their Application for Predicting Pyrrolizidine Alkaloids by Christoph Helma, Verena Schöning, Jürgen Drewe, Jürgen Drewe, Philipp Boss

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Machine learning-based prediction of adverse drug effects: An example of seizure-inducing compounds by Mengxuan Gao, Hideyoshi Igata, Aoi Takeuchi, Kaoru Sato, Yuji Ikegaya

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Proposing a Model for Detecting Intrusion Network Attacks Using Machine Learning Techniques by Teba Ali Jasem Ali, Muna Jawhar

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Descriptors of Cytochrome Inhibitors and Useful Machine Learning Based Methods for the Design of Safer Drugs by Tyler C. Beck, Kyle R. Beck, Jordan Morningstar, Menny M. Benjamin, Russell A. Norris

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Machine learning-based classification of circadian rhythm characteristics for mild cognitive impairment in the elderly by Zhizhen Liu, Lin Zhang, Jingsong Wu, Zhicheng Zheng, Jiahui Gao, Yongsheng Lin, Yinghua Liu, Haihua Xu, Yongjin Zhou, Yongjin Zhou

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Machine-Learning Guided Discovery of Bioactive Inhibitors of PD1-PDL1 Interaction by Sachin P. Patil, Elena Fattakhova, Jeremy Hofer, Michael Oravic, Autumn Bender, Jason Brearey, Daniel Parker, Madison Radnoff, Zackary Smith

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Detecting Potentially Harmful and Protective Suicide-Related Content on Twitter: Machine Learning Approach by Hannah Metzler, Hubert Baginski, Thomas Niederkrotenthaler, David Garcia

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