Search Results - "machines"

Effect of vitamin D supplementation on inflammatory markers and total antioxidant capacity in breast cancer women using a machine learning technique by Marzieh Tahmasebi, Masoud Veissi, Seyed Ahmad Hosseini, Amir Jamshidnezhad

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Comparing human milk macronutrients measured using analyzers based on mid-infrared spectroscopy and ultrasound and the application of machine learning in data fitting by Huijuan Ruan, Qingya Tang, Yajie Zhang, Xuelin Zhao, Yi Xiang, Yi Feng, Wei Cai

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A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study by Jun Wang, Hongmei Chen, Houwei Wang, Weichu Liu, Daomei Peng, Qinghua Zhao, Mingzhao Xiao

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Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer metastases by Anita Bakrania, Narottam Joshi, Xun Zhao, Gang Zheng, Mamatha Bhat

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Exploring multisite musculoskeletal symptoms among sewing machine operators in a tunisian leather and footwear industry using decision tree models by Nehla Rmadi, Imen Sellami, Afef Feki, Kaouthar Jmal Hammami, Mohamed Larbi Masmoudi, Mounira Hajjaji

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Exploring Machine Learning Algorithms to Predict Diarrhea Disease and Identify its Determinants among Under-Five Years Children in East Africa by Tirualem Zeleke Yehuala, Nebiyu Mekonnen Derseh, Makda Fekadie Tewelgne, Sisay Maru Wubante

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Predicting smoking cessation, reduction and relapse six months after using the Stop-Tabac app for smartphones: a machine learning analysis by Jean-François Etter, Germano Vera Cruz, Yasser Khazaal

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Change in employment status and its causal effect on suicidal ideation and depressive symptoms: A marginal structural model with machine learning algorithms by Jaehong Yoon, Ji-Hwan Kim, Yeonseung Chung, Jinsu Park, Ja-Ho Leigh, Seung-Sup Kim

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A Machine Learning Model to Predict Intravenous Immunoglobulin-Resistant Kawasaki Disease Patients: A Retrospective Study Based on the Chongqing Population by Jie Liu, Jian Zhang, Haodong Huang, Yunting Wang, Zuyue Zhang, Yunfeng Ma, Xiangqian He

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Text Message Analysis Using Machine Learning to Assess Predictors of Engagement With Mobile Health Chronic Disease Prevention Programs: Content Analysis by Harry Klimis, Joel Nothman, Di Lu, Chao Sun, N Wah Cheung, Julie Redfern, Aravinda Thiagalingam, Clara K Chow

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1871 Aligning national and local data to predict clinic non-attendance in adolescent and young adult rheumatology using machine learning model by Coziana Ciurtin, Maria Leandro, Corinne Fisher, Aicha Bouraoui, Mei Bai, Sophia Mavrommatis, Luke Williamson, Debait Sen

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Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients by Shane O'Sullivan, Andreas Holzinger, Dominic Wichmann, Paulo Hilario Nascimento Saldiva, Mohammed Imran Sajid, Kurt Zatloukal

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The impact of a 24‐hour syringe dispensing machine on a face‐to‐face needle and syringe program and targeted primary healthcare clinic by Natalia Uthurralt, Anica McGlinn, Martin O'Donnell, Paul S. Haber, Carolyn A. Day

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Identification for heavy metals exposure on osteoarthritis among aging people and Machine learning for prediction: A study based on NHANES 2011-2020 by Fang Xia, Qingwen Li, Xin Luo, Jinyi Wu

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Using Features Extracted From Upper Limb Reaching Tasks to Detect Parkinson’s Disease by Means of Machine Learning Models by Giuseppe Cesarelli, Leandro Donisi, Francesco Amato, Maria Romano, Mario Cesarelli, Giovanni D'Addio, Alfonso M. Ponsiglione, Carlo Ricciardi

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Factors Predicting Quality of Life Impairment in Adult Patients with Atopic Dermatitis: Results from a Patient Survey and Machine Learning Analysis by Carle Paul, Christopher E. M. Griffiths, Antonio Costanzo, Pedro Herranz, Susanne Grond, Can Mert, Nicole Tietz, Elisabeth Riedl, Matthias Augustin

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Relationship between psychological characteristics, personality traits, and training on performance in a neonatal resuscitation scenario: A machine learning based analysis by V. Giordano, K. Bibl, A. Felnhofer, O. Kothgassner, P. Steinbauer, F. Eibensteiner, P. Gröpel, F. Scharnowski, M. Wagner, A. Berger, M. Olischar, D. Steyrl

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A novel proteomic-based model for predicting colorectal cancer with Schistosoma japonicum co‐infection by integrated bioinformatics analysis and machine learning by Shan Li, Xuguang Sun, Ting Li, Yanqing Shi, Binjie Xu, Yuyong Deng, Sifan Wang

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Integration analysis of senescence-related genes to predict prognosis and immunotherapy response in soft-tissue sarcoma: evidence based on machine learning and experiments by Lin Qi, Lin Qi, Fangyue Chen, Lu Wang, Lu Wang, Zhimin Yang, Zhimin Yang, Zhimin Yang, Wenchao Zhang, Wenchao Zhang, Zhihong Li, Zhihong Li

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Leveraging machine learning to evaluate factors influencing vitamin D insufficiency in SLE patients: A case study from southern Bangladesh by Mrinal Saha, Aparna Deb, Imtiaz Sultan, Sujat Paul, Jishan Ahmed, Goutam Saha

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