Search Results - "machines"

Proteomic analysis to identification of hypoxia related markers in spinal tuberculosis: a study based on weighted gene co-expression network analysis and machine learning by 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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PENERAPAN MODEL KLASIFIKASI REGRESI LOGISTIK, SUPPORT VECTOR MACHINE , CLASSIFICATION AND REGRESSION TREE TERHADAP DATA KEJADIAN DIFTERI DI PROVINSI JAWA BARAT by Hilman Dwi Anggana

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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" by Jina Kim, Daeun Lee, Eunil Park

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The Relationship Between Mild Cognitive Impairment and Anti-Inflammatory/Pro-Inflammatory Nutrients in the Elderly in Northern China: A Bayesian Kernel Machine Regression Approach by Li R, Zhan W, Huang X, Zhang L, Zhang Z, Zhou M, Wang Z, Ma Y

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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 by Milan Mladenović, Roberta Astolfi, Nevena Tomašević, Sanja Matić, Mijat Božović, Filippo Sapienza, Rino Ragno

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Squat and countermovement jump performance across a range of loads: a comparison between Smith machine and free weight execution modes in elite sprinters by Irineu Loturco, Michael McGuigan, Tomás T. Freitas, Fábio Nakamura, Daniel Boullosa, Pedro Valenzuela, Lucas A. Pereira, Fernando Pareja-Blanco

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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 by 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 by 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 by 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 by 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 by 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 by 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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EVALUASI DAMPAK PENERAPAN AUTOMATED DISPENSING MACHINE TERHADAP DISPENSING ERROR DI FARMASI RAWAT JALAN INSTALASI FARMASI RUMAH SAKIT BETHESDA YOGYKARTA by Purwoadi Sujatno, Rizaldy Taslim Pinzon, Andreasta Meliala

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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 by 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 by 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 by 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 by 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 by 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 by 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 by 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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