खोज परिणाम - "Machine Learning"

Machine learning model for depression based on heavy metals among aging people: A study with National Health and Nutrition Examination Survey 2017-2018 द्वारा Fang Xia, Qingwen Li, Xin Luo, Jinyi Wu

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Structure- and machine learning-guided engineering demonstrate that a non-canonical disulfide in an anti-PD-1 rabbit antibody does not impede antibody developability द्वारा Wei-Ching Liang, Hongkang Xi, Dawei Sun, Luigi D'Ascenzo, Jonathan Zarzar, Nicole Stephens, Ryan Cook, Yinyin Li, Zhengmao Ye, Marissa Matsumoto, Jian Payandeh, Matthieu Masureel, Yan Wu

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Development of novel ALOX15 inhibitors combining dual machine learning filtering and fragment substitution optimisation approaches, molecular docking and dynamic simulation methods द्वारा Yinglin Liao, Peng Cao, Lianxiang Luo

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Use of artificial intelligence for public health surveillance: a case study to develop a machine Learning-algorithm to estimate the incidence of diabetes mellitus in France द्वारा Romana Haneef, Sofiane Kab, Rok Hrzic, Sonsoles Fuentes, Sandrine Fosse-Edorh, Emmanuel Cosson, Anne Gallay

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Machine learning algorithms to predict healthcare-seeking behaviors of mothers for acute respiratory infections and their determinants among children under five in sub-Saharan Africa द्वारा Tirualem Zeleke Yehuala, Muluken Chanie Agimas, Nebiyu Mekonnen Derseh, Sisay Maru Wubante, Bezawit Melak Fente, Getaneh Awoke Yismaw, Tigabu Kidie Tesfie

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Web-Based Risk Prediction Tool for an Individual's Risk of HIV and Sexually Transmitted Infections Using Machine Learning Algorithms: Development and External Validation Study द्वारा Xianglong Xu, Zhen Yu, Zongyuan Ge, Eric P F Chow, Yining Bao, Jason J Ong, Wei Li, Jinrong Wu, Christopher K Fairley, Lei Zhang

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Prognostication of treatment non-compliance among patients with multidrug-resistant tuberculosis in the course of their follow-up: a logistic regression-based machine learning algorithm द्वारा Denekew Tenaw Anley, Temesgen Yihunie Akalu, Temesgen Yihunie Akalu, Temesgen Yihunie Akalu, Anteneh Mengist Dessie, Rahel Mulatie Anteneh, Melkamu Aderajew Zemene, Wubet Alebachew Bayih, Wubet Alebachew Bayih, Yenealem Solomon, Natnael Atnafu Gebeyehu, Gizachew Ambaw Kassie, Misganaw Asmamaw Mengstie, Endeshaw Chekol Abebe, Mohammed Abdu Seid, Molalegn Mesele Gesese, Natnael Moges, Berihun Bantie, Sefineh Fenta Feleke, Tadesse Asmamaw Dejenie, Getachew Asmare Adella, Achenef Asmamaw Muche, Achenef Asmamaw Muche, Achenef Asmamaw Muche

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Classification of Children With Autism and Typical Development Using Eye-Tracking Data From Face-to-Face Conversations: Machine Learning Model Development and Performance Evaluation द्वारा Zhong Zhao, Haiming Tang, Xiaobin Zhang, Xingda Qu, Xinyao Hu, Jianping Lu

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Comparison of Empirical Mode Decomposition, Wavelets, and Different Machine Learning Approaches for Patient-Specific Seizure Detection Using Signal-Derived Empirical Dictionary Approach द्वारा Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan

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Machine learning‐guided covariate selection for time‐to‐event models developed from a small sample of real‐world patients receiving bevacizumab treatment द्वारा Eleni Karatza, Apostolos Papachristos, Gregory B. Sivolapenko, Daniel Gonzalez

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Identifying Elevated Risk for Future Pain Crises in Sickle-Cell Disease Using Photoplethysmogram Patterns Measured During Sleep: A Machine Learning Approach द्वारा Yunhua Ji, Patjanaporn Chalacheva, Carol L. Rosen, Michael R. DeBaun, Thomas D. Coates, Michael C. K. Khoo

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A Machine Learning Algorithm Outperforms Traditional Multiple Regression to Predict Risk of Unplanned Overnight Stay Following Outpatient Medial Patellofemoral Ligament Reconstruction द्वारा Chimere O. Ezuma, B.S, Yining Lu, M.D, Ayoosh Pareek, M.D, Ryan Wilbur, B.S, Aaron J. Krych, M.D, Brian Forsythe, M.D, Christopher L. Camp, M.D

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Prediction of delayed breastfeeding initiation among mothers having children less than 2 months of age in East Africa: application of machine learning algorithms द्वारा Agmasie Damtew Walle, Zenebe Abebe Gebreegziabher, Habtamu Setegn Ngusie, Sisay Yitayih Kassie, Abera Lambebo, Fitsum Zekarias, Tadesse Mamo Dejene, Shimels Derso Kebede

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Interoperable and explainable machine learning models to predict morbidity and mortality in acute neurological injury in the pediatric intensive care unit: secondary analysis of the TOPICC study द्वारा Neil K. Munjal, Neil K. Munjal, Robert S. B. Clark, Dennis W. Simon, Patrick M. Kochanek, Christopher M. Horvat

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Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study द्वारा Mingxia Li, Shuzhe Han, Fang Liang, Chenghuan Hu, Buyao Zhang, Qinlan Hou, Shuangping Zhao

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Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models द्वारा Liu, Dianbo, Clemente, Leonardo, Poirier, Canelle, Ding, Xiyu, Chinazzi, Matteo, Davis, Jessica, Vespignani, Alessandro, Santillana, Mauricio

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The role of various physiological and bioelectrical parameters for estimating the weight status in infants and juveniles cohort from the Southern Cuba region: a machine learning study द्वारा Taira Batista Luna, Jose Luis García Bello, Agustín Garzón Carbonell, Ana de la Caridad Román Montoya, Alcibíades Lara Lafargue, Héctor Manuel Camué Ciria, Yohandys A. Zulueta

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Integrated bioinformatical analysis, machine learning and in vitro experiment-identified m6A subtype, and predictive drug target signatures for diagnosing renal fibrosis द्वारा Chunxiang Feng, Zhixian Wang, Zhixian Wang, Chang Liu, Shiliang Liu, Yuxi Wang, Yuanyuan Zeng, Qianqian Wang, Tianming Peng, Xiaoyong Pu, Jiumin Liu

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Machine Learning Techniques to Explore Clinical Presentations of COVID-19 Severity and to Test the Association With Unhealthy Opioid Use: Retrospective Cross-sectional Cohort Study द्वारा Hale M Thompson, Brihat Sharma, Dale L Smith, Sameer Bhalla, Ihuoma Erondu, Aniruddha Hazra, Yousaf Ilyas, Paul Pachwicewicz, Neeral K Sheth, Neeraj Chhabra, Niranjan S Karnik, Majid Afshar

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Machine learning methods for propensity and disease risk score estimation in high-dimensional data: a plasmode simulation and real-world data cohort analysis द्वारा Yuchen Guo, Victoria Y. Strauss, Martí Català, Annika M. Jödicke, Sara Khalid, Daniel Prieto-Alhambra, Daniel Prieto-Alhambra

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