Zoekresultaten - "Machine Learning"

A five-year (2015 to 2019) analysis of studies focused on breast cancer prediction using machine learning: A systematic review and bibliometric analysis door Zakia Salod, Yashik Singh

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Integrating real‐world data and machine learning: A framework to assess covariate importance in real‐world use of alternative intravenous dosing regimens for atezolizumab door Bianca Vora, Ashutosh Jindal, Erick Velasquez, James Lu, Benjamin Wu

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K-Means Clustering Machine Learning Approach Reveals Groups of Homogeneous Individuals With Unique Brain Activation, Task, and Performance Dynamics Using fNIRS door Manob Jyoti Saikia

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Proteomic analysis to identification of hypoxia related markers in spinal tuberculosis: a study based on weighted gene co-expression network analysis and machine learning door Shaofeng Wu, Tuo Liang, Jie Jiang, Jichong Zhu, Tianyou Chen, Chenxing Zhou, Shengsheng Huang, Yuanlin Yao, Hao Guo, Zhen Ye, Liyi Chen, Wuhua Chen, Binguang Fan, Jiahui Qin, Lu Liu, Siling Wu, Fengzhi Ma, Xinli Zhan, Chong Liu

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Authors' Reply to: Bibliometric Studies and the Discipline of Social Media Mental Health Research. Comment on "Machine Learning for Mental Health in Social Media: Bibliometric Study" door Jina Kim, Daeun Lee, Eunil Park

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In Vitro Antioxidant and In Vivo Antigenotoxic Features of a Series of 61 Essential Oils and Quantitative Composition-Activity Relationships Modeled through Machine Learning Algorithms door Milan Mladenović, Roberta Astolfi, Nevena Tomašević, Sanja Matić, Mijat Božović, Filippo Sapienza, Rino Ragno

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An Automated Literature Review Tool (LiteRev) for Streamlining and Accelerating Research Using Natural Language Processing and Machine Learning: Descriptive Performance Evaluation Study door Erol Orel, Iza Ciglenecki, Amaury Thiabaud, Alexander Temerev, Alexandra Calmy, Olivia Keiser, Aziza Merzouki

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Machine learning para análises preditivas em saúde: exemplo de aplicação para predizer óbito em idosos de São Paulo, Brasil door Hellen Geremias dos Santos, Carla Ferreira do Nascimento, Rafael Izbicki, Yeda Aparecida de Oliveira Duarte, Alexandre Dias Porto Chiavegatto Filho

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Opioid-related harms and care impacts of conventional and AI-based prescription management strategies: insights from leveraging agent-based modeling and machine learning door Narjes Shojaati, Nathaniel D. Osgood

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An Advanced Machine Learning Model for a Web-Based Artificial Intelligence-Based Clinical Decision Support System Application: Model Development and Validation Study door Tai-Han Lin, Hsing-Yi Chung, Ming-Jr Jian, Chih-Kai Chang, Cherng-Lih Perng, Guo-Shiou Liao, Jyh-Cherng Yu, Ming-Shen Dai, Cheng-Ping Yu, Hung-Sheng Shang

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Assessing optimal methods for transferring machine learning models to low-volume and imbalanced clinical datasets: experiences from predicting outcomes of Danish trauma patients door Andreas Skov Millarch, Andreas Skov Millarch, Alexander Bonde, Alexander Bonde, Mikkel Bonde, Mikkel Bonde, Kiril Vadomovic Klein, Fredrik Folke, Fredrik Folke, Søren Steemann Rudolph, Martin Sillesen, Martin Sillesen

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Respiratory distress syndrome prediction at birth by optical skin maturity assessment and machine learning models for limited-resource settings: a development and validation study door Zilma Silveira Nogueira Reis, Gisele Lobo Pappa, Paulo de Jesus H. Nader, Marynea Silva do Vale, Gabriela Silveira Neves, Gabriela Luiza Nogueira Vitral, Nilza Mussagy, Ivana Mara Norberto Dias, Roberta Maia de Castro Romanelli

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Machine learning approach to classifying declines of physical function and muscle strength associated with cognitive function in older women: gait characteristics based on three speeds door Bohyun Kim, Bohyun Kim, Changhong Youm, Changhong Youm, Hwayoung Park, Hyejin Choi, Hyejin Choi, Sungtae Shin

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Exploring machine learning algorithms to predict acute respiratory tract infection and identify its determinants among children under five in Sub-Saharan Africa door Tirualem Zeleke Yehuala, Bezawit Melak Fente, Sisay Maru Wubante, Nebiyu Mekonnen Derseh

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Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing door Izquierdo, Jose Luis, Ancochea, Julio, Soriano, Joan B

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Modeling the trend of coronavirus disease 2019 and restoration of operational capability of metropolitan medical service in China: a machine learning and mathematical model-based analysis door Zeye Liu, Shuai Huang, Wenlong Lu, Zhanhao Su, Xin Yin, Huiying Liang, Hao Zhang

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Stable warfarin dose prediction in sub‐Saharan African patients: A machine‐learning approach and external validation of a clinical dose-initiation algorithm door Innocent G. Asiimwe, Marc Blockman, Karen Cohen, Clint Cupido, Claire Hutchinson, Barry Jacobson, Mohammed Lamorde, Jennie Morgan, Johannes P. Mouton, Doreen Nakagaayi, Emmy Okello, Elise Schapkaitz, Christine Sekaggya‐Wiltshire, Jerome R. Semakula, Catriona Waitt, Eunice J. Zhang, Andrea L. Jorgensen, Munir Pirmohamed

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Physical frailty identification using machine learning to explore the 5-item FRAIL scale, Cardiovascular Health Study index, and Study of Osteoporotic Fractures index door Chen-Cheng Yang, Chen-Cheng Yang, Chen-Cheng Yang, Po-Hong Chen, Cheng-Hong Yang, Chia-Yen Dai, Kuei-Hau Luo, Tzu-Hua Chen, Hung-Yi Chuang, Hung-Yi Chuang, Hung-Yi Chuang, Chao-Hung Kuo

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Optimization of Diagnosis-Related Groups for 14,246 Patients with Uterine Leiomyoma in a Single Center in Western China Using a Machine Learning Model door Ma Y, Li L, Yu L, He W, Yi L, Tang Y, Li J, Zhong Z, Wang M, Huang S, Xiong Y, Xiao P, Huang Y

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A machine-learning guided method for predicting add-on and switch in secondary data sources: A case study on anti-seizure medications in Danish registries door Peter Suhr Breitenstein, Israa Mahmoud, Fahed Al-Azzawi, Saeed Shakibfar, Maurizio Sessa

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