Search Results - "Machine"

Assessment of some mechanical properties of Imprelon® and Duran® thermoplastic Biostar machine sheets in comparison with some types of acrylic resins by Mustafa F Mohammed, Salah A Mohammad

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Exploring the Potential of Artificial Intelligence and Machine Learning to Combat COVID-19 and Existing Opportunities for LMIC: A Scoping Review by Maleeha Naseem, Ramsha Akhund, Hajra Arshad, Muhammad Talal Ibrahim

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"There's absolutely no downside to this, I mean, except community opposition:" A qualitative study of the acceptability of vending machines for harm reduction by Rebecca E. Stewart, Nicholas C. Cardamone, Emily Loscalzo, Rachel French, Collin Lovelace, Winna Koe Mowenn, Ali Tarhini, Linden Lalley-Chareczko, Kathleen A. Brady, David S. Mandell

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A Study to Analyse Covid-19 Outbreak Using Multiple Linear Regression: A Supervised Machine Learning Approach by Jayanti Semwal, Abhinav Bahuguna, Akanksha Uniyal, Shaili Vyas

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Machine Learning to Predict the 1-Year Mortality Rate After Acute Anterior Myocardial Infarction in Chinese Patients [Corrigendum] by Li Y, Jiang L, He J, Jia K, Peng Y, Chen M

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Developing a Machine Learning Model to Predict Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study by Siyang Zeng, Mehrdad Arjomandi, Yao Tong, Zachary C Liao, Gang Luo

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Reliable Prediction Models Based on Enriched Data for Identifying the Mode of Childbirth by Using Machine Learning Methods: Development Study by Ullah, Zahid, Saleem, Farrukh, Jamjoom, Mona, Fakieh, Bahjat

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Genetic algorithm-assisted machine learning for clinical pregnancy prediction in in vitro fertilizationAJOG Global Reports at a Glance by Claudio Michael Louis, SKom, BEng, Nining Handayani, DVM, MBiomed, Tri Aprilliana, BPH, Arie A. Polim, MD, SpOG, DMAS, MBHRE, Arief Boediono, DVM, PhD, Ivan Sini, MD, FRANZOG, GDRM, MMIS, SpOG

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Mental issues, internet addiction and quality of life predict burnout among Hungarian teachers: a machine learning analysis by Gergely Feher, Krisztian Kapus, Antal Tibold, Zoltan Banko, Gyula Berke, Boroka Gacs, Imre Varadi, Rita Nyulas, Andras Matuz

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Can adverse childhood experiences predict chronic health conditions? Development of trauma-informed, explainable machine learning models by Hanin B. Afzal, Tasfia Jahangir, Yiyang Mei, Annabelle Madden, Abeed Sarker, Sangmi Kim

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Salivary cystatin S levels in children with early childhood caries in comparison with caries-free children; statistical analysis and machine learning by Maryam Koopaie, Mahsa Salamati, Roshanak Montazeri, Mansour Davoudi, Sajad Kolahdooz

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Using a Machine Learning Approach to Identify Low-Frequency and Rare FLG Alleles Associated with Remission of Atopic Dermatitis by Ronald Berna, Nandita Mitra, Ole Hoffstad, Bradley Wubbenhorst, Katherine L. Nathanson, David J. Margolis

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Comprehensive Metabolomics and Machine Learning Identify Profound Oxidative Stress and Inflammation Signatures in Hypertensive Patients with Obstructive Sleep Apnea by Zhiyong Du, Haili Sun, Yunhui Du, Linyi Li, Qianwen Lv, Huahui Yu, Fan Li, Yu Wang, Xiaolu Jiao, Chaowei Hu, Yanwen Qin

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Comparative evaluation among laser-treated, machined, and sandblasted/acid-etched implant surfaces: an in vivo histologic analysis on sheep by I. De Tullio, M. Berardini, D. Di Iorio, F. Perfetti, G. Perfetti

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Explainable Machine Learning Techniques To Predict Amiodarone-Induced Thyroid Dysfunction Risk: Multicenter, Retrospective Study With External Validation by Ya-Ting Lu, Horng-Jiun Chao, Yi-Chun Chiang, Hsiang-Yin Chen

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Prediction of Tacrolimus Dose/Weight-Adjusted Trough Concentration in Pediatric Refractory Nephrotic Syndrome: A Machine Learning Approach by Mo X, Chen X, Wang X, Zhong X, Liang H, Wei Y, Deng H, Hu R, Zhang T, Chen Y, Gao X, Huang M, Li J

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Machined and plastic copings in three-element prostheses with different types of implantabutment joints: a strain gauge comparative analysis by Renato Sussumu Nishioka, Lea Nogueira Braulino de Melo Nishioka, Celina Wanderley Abreu, Luis Gustavo Oliveira de Vasconcellos, Ivan Balducci

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Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study by Cheng, Hao-Yuan, Wu, Yu-Chun, Lin, Min-Hau, Liu, Yu-Lun, Tsai, Yue-Yang, Wu, Jo-Hua, Pan, Ke-Han, Ke, Chih-Jung, Chen, Chiu-Mei, Liu, Ding-Ping, Lin, I-Feng, Chuang, Jen-Hsiang

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Pharmacometric modeling and machine learning analyses of prognostic and predictive factors in the JAVELIN Gastric 100 phase III trial of avelumab by Nadia Terranova, Jonathan French, Haiqing Dai, Matthew Wiens, Akash Khandelwal, Ana Ruiz‐Garcia, Juliane Manitz, Anja vonHeydebreck, Mary Ruisi, Kevin Chin, Pascal Girard, Karthik Venkatakrishnan

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Using machine learning to understand determinants of IUD use in India: Analyses of the National Family Health Surveys (NFHS-4) by Arnab K. Dey, Nabamallika Dehingia, Nandita Bhan, Edwin Elizabeth Thomas, Lotus McDougal, Sarah Averbach, Julian McAuley, Abhishek Singh, Anita Raj

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