検索結果 - "Machine Learning"

A Machine Learning Approach to Passively Informed Prediction of Mental Health Risk in People with Diabetes: Retrospective Case-Control Analysis 著者: Jessica Yu, Carter Chiu, Yajuan Wang, Eldin Dzubur, Wei Lu, Julia Hoffman

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A novel machine-learning framework based on early embryo morphokinetics identifies a feature signature associated with blastocyst development 著者: S. Canosa, N. Licheri, L. Bergandi, G. Gennarelli, C. Paschero, M. Beccuti, D. Cimadomo, G. Coticchio, L. Rienzi, C. Benedetto, F. Cordero, A. Revelli

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Using Machine Learning Techniques to Aid Empirical Antibiotic Therapy Decisions in the Intensive Care Unit of a General Hospital in Greece 著者: Georgios Feretzakis, Evangelos Loupelis, Aikaterini Sakagianni, Dimitris Kalles, Maria Martsoukou, Malvina Lada, Nikoletta Skarmoutsou, Constantinos Christopoulos, Konstantinos Valakis, Aikaterini Velentza, Stavroula Petropoulou, Sophia Michelidou, Konstantinos Alexiou

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Identification of pivotal genes and regulatory networks associated with atherosclerotic carotid artery stenosis based on comprehensive bioinformatics analysis and machine learning 著者: Xiaohong Qin, Xiaohong Qin, Rui Ding, Haoran Lu, Haoran Lu, Wenfei Zhang, Shanshan Wei, Baowei Ji, Rongxin Geng, Liquan Wu, Zhibiao Chen

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Development and Validation of Unplanned Extubation Prediction Models Using Intensive Care Unit Data: Retrospective, Comparative, Machine Learning Study 著者: Sujeong Hur, Ji Young Min, Junsang Yoo, Kyunga Kim, Chi Ryang Chung, Patricia C Dykes, Won Chul Cha

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Assessing the effect of Aedes (Stegomyia) aegypti (Linnaeus, 1762) control based on machine learning for predicting the spatiotemporal distribution of eggs in ovitraps 著者: Rafael Piovezan, Thiago Salomão de Azevedo, Euler Faria, Rosana Veroneze, Claudio José Von Zuben, Fernando José Von Zuben, Maria Anice Mureb Sallum

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Studies of Artificial Intelligence/Machine Learning Registered on ClinicalTrials.gov: Cross-Sectional Study With Temporal Trends, 2010-2023 著者: Shoko Maru, Michael D Matthias, Ryohei Kuwatsuru, Ross J Simpson Jr

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Machine learning models for assessing risk factors affecting health care costs: 12-month exercise-based cardiac rehabilitation 著者: Arto J. Hautala, Babooshka Shavazipour, Bekir Afsar, Mikko P. Tulppo, Kaisa Miettinen

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Many-Dimensional Model of Adolescent School Enjoyment: A Test Using Machine Learning from Behavioral and Social-Emotional Problems 著者: Farhan Ali, Rebecca P. Ang

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Predicting Emerging Themes in Rapidly Expanding COVID-19 Literature With Unsupervised Word Embeddings and Machine Learning: Evidence-Based Study 著者: Ridam Pal, Harshita Chopra, Raghav Awasthi, Harsh Bandhey, Aditya Nagori, Tavpritesh Sethi

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Contribution of machine learning to tumor growth inhibition modeling for hepatocellular carcinoma patients under Roblitinib (FGF401) drug treatment 著者: Mélanie Wilbaux, David Demanse, Yi Gu, Astrid Jullion, Andrea Myers, Vasiliki Katsanou, Christophe Meille

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A machine learning approach towards assessing consistency and reproducibility: an application to graft survival across three kidney transplantation eras 著者: Okechinyere Achilonu, George Obaido, Blessing Ogbuokiri, Kehinde Aruleba, Eustasius Musenge, June Fabian

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Assessing Electrocardiogram and Respiratory Signal Quality of a Wearable Device (SensEcho): Semisupervised Machine Learning-Based Validation Study 著者: Haoran Xu, Wei Yan, Ke Lan, Chenbin Ma, Di Wu, Anshuo Wu, Zhicheng Yang, Jiachen Wang, Yaning Zang, Muyang Yan, Zhengbo Zhang

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Identifying and assessing the impact of key neighborhood-level determinants on geographic variation in stroke: a machine learning and multilevel modeling approach 著者: Jiayi Ji, Liangyuan Hu, Bian Liu, Yan Li

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Artificial intelligence for interpretation of segments of whole body MRI in CNO: pilot study comparing radiologists versus machine learning algorithm 著者: Chandrika S. Bhat, Mark Chopra, Savvas Andronikou, Suvadip Paul, Zach Wener-Fligner, Anna Merkoulovitch, Izidora Holjar-Erlic, Flavia Menegotto, Ewan Simpson, David Grier, Athimalaipet V. Ramanan

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Commentary: Predicting blood concentration of tacrolimus in patients with autoimmune diseases using machine learning techniques based on real-world evidence 著者: Yuxiang Zhu, Xuebin Wang, Xue Wang, Lizhi Chen, Zhuo Wang

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Machine Learning Approach to Predict Risk of 90-Day Hospital Readmissions in Patients With Atrial Fibrillation: Implications for Quality Improvement in Healthcare 著者: Man Hung, Eric S. Hon, Evelyn Lauren, Julie Xu, Gary Judd, Weicong Su

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A cost-effective, machine learning-driven approach for screening arterial functional aging in a large-scale Chinese population 著者: Rujia Miao, Qian Dong, Xuelian Liu, Yingying Chen, Jiangang Wang, Jianwen Chen

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Postpartum Haemorrhage Risk Prediction Model Developed by Machine Learning Algorithms: A Single-Centre Retrospective Analysis of Clinical Data 著者: Wenhuan Wang, Chanchan Liao, Hongping Zhang, Yanjun Hu

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Machine Learning Methods to Personalize Persuasive Strategies in mHealth Interventions That Promote Physical Activity: Scoping Review and Categorization Overview 著者: Annette Brons, Shihan Wang, Bart Visser, Ben Kröse, Sander Bakkes, Remco Veltkamp

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