Bilaketaren emaitzak - "Machine Learning"

Prioritizing determinants of cognitive function in healthy middle-aged and older adults: insights from a machine learning regression approach in the Canadian longitudinal study on aging nork Sarah Singh, Shiran Zhong, Kem Rogers, Vladimir Hachinski, Vladimir Hachinski, Stephanie Frisbee

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A Typology of Existing Machine Learning-Based Predictive Analytic Tools Focused on Reducing Costs and Improving Quality in Health Care: Systematic Search and Content Analysis nork Ariadne A Nichol, Jason N Batten, Meghan C Halley, Julia K Axelrod, Pamela L Sankar, Mildred K Cho

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Factors associated with SARS-CoV-2 test positivity in long-term care homes: A population-based cohort analysis using machine learning nork Douglas S. Lee, Chloe X. Wang, Finlay A. McAlister, Shihao Ma, Anna Chu, Paula A. Rochon, Padma Kaul, Peter C. Austin, Xuesong Wang, Sunil V. Kalmady, Jacob A. Udell, Michael J. Schull, Barry B. Rubin, Bo Wang

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Deploying Machine Learning Models Using Progressive Web Applications: Implementation Using a Neural Network Prediction Model for Pneumonia Related Child Mortality in The Gambia nork Nuredin I. Mohammed, Alexander Jarde, Grant Mackenzie, Umberto D'Alessandro, David Jeffries

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Using machine learning algorithms and techniques for defining the impact of affective temperament types, content search and activities on the internet on the development of problematic internet use in adolescents' population nork Jelena Jović, Aleksandar Ćorac, Aleksandar Stanimirović, Mina Nikolić, Marko Stojanović, Marko Stojanović, Zoran Bukumirić, Dragana Ignjatović Ristić, Dragana Ignjatović Ristić

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Pathologist-trained machine learning classifiers developed to quantitate celiac disease features differentiate endoscopic biopsies according to modified marsh score and dietary intervention response nork Aaron M. Gruver, Haiyan Lu, Xiaoxian Zhao, Angie D. Fulford, Michael D. Soper, Darryl Ballard, Jeffrey C. Hanson, Andrew E. Schade, Eric D. Hsi, Klaus Gottlieb, Kelly M. Credille

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Comparison of the performance of machine learning-based algorithms for predicting depression and anxiety among University Students in Bangladesh: A result of the first wave of the COVID-19 pandemic nork Md Iqbal Hossain Nayan, M Sheikh Giash Uddin, Md Ismail Hossain, Md Mohibul Alam, Maliha Afroj Zinnia, Iqramul Haq, Md Moshiur Rahman, Rejwana Ria, Md Injamul Haq Methun

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A machine-learning approach to estimating public intentions to become a living kidney donor in England: Evidence from repeated cross-sectional survey data nork Paul Boadu, Leah McLaughlin, Mustafa Al-Haboubi, Jennifer Bostock, Jane Noyes, Stephen O'Neill, Nicholas Mays

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Global Citizenship Competencies of Filipino Students: Using Machine Learning to Explore the Structure of Cognitive, Affective, and Behavioral Competencies in the 2019 Southeast Asia Primary Learning Metrics nork Allan B. I. Bernardo, Macario O. Cordel, Justin Gerard E. Ricardo, Meniah Ann Martha C. Galanza, Sherlyne Almonte-Acosta

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Correction: Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models nork Liu, Dianbo, Clemente, Leonardo, Poirier, Canelle, Ding, Xiyu, Chinazzi, Matteo, Davis, Jessica, Vespignani, Alessandro, Santillana, Mauricio

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A Machine Learning Model for Predicting In-Hospital Mortality in Chinese Patients With ST-Segment Elevation Myocardial Infarction: Findings From the China Myocardial Infarction Registry nork Jingang Yang, Yingxue Li, Xiang Li, Shuiying Tao, Yuan Zhang, Tiange Chen, Guotong Xie, Haiyan Xu, Xiaojin Gao, Yuejin Yang

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Fetal Cardiovascular Decompensation During Labor Predicted From the Individual Heart Rate Tracing: A Machine Learning Approach in Near-Term Fetal Sheep Model nork Nathan Gold, Nathan Gold, Christophe L. Herry, Xiaogang Wang, Xiaogang Wang, Martin G. Frasch

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Developing a Machine Learning Algorithm to Predict the Probability of Medical Staff Work Mode Using Human-Smartphone Interaction Patterns: Algorithm Development and Validation Study nork Hung-Hsun Chen, Henry Horng-Shing Lu, Wei-Hung Weng, Yu-Hsuan Lin

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Digital Marker for Early Screening of Mild Cognitive Impairment Through Hand and Eye Movement Analysis in Virtual Reality Using Machine Learning: First Validation Study nork Se Young Kim, Jinseok Park, Hojin Choi, Martin Loeser, Hokyoung Ryu, Kyoungwon Seo

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Prediction of Atrial Fibrillation in Hospitalized Elderly Patients With Coronary Heart Disease and Type 2 Diabetes Mellitus Using Machine Learning: A Multicenter Retrospective Study nork Qian Xu, Qian Xu, Qian Xu, Yan Peng, Juntao Tan, Wenlong Zhao, Wenlong Zhao, Meijie Yang, Jie Tian, Jie Tian, Jie Tian

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Detection of potential drug-drug interactions for risk of acute kidney injury: a population-based case-control study using interpretable machine-learning models nork Hayato Akimoto, Hayato Akimoto, Takashi Hayakawa, Takashi Hayakawa, Takuya Nagashima, Takuya Nagashima, Kimino Minagawa, Yasuo Takahashi, Satoshi Asai, Satoshi Asai

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Low gamma‐butyrobetaine dioxygenase (BBOX1) expression as a prognostic biomarker in patients with clear cell renal cell carcinoma: a machine learning approach nork Kyu‐Shik Kim, Kyoung Min Moon, Kyueng‐Whan Min, Woon Yong Jung, Su‐Jin Shin, Seung Wook Lee, Mi Jung Kwon, Dong‐Hoon Kim, Sukjoong Oh, Yung‐Kyun Noh

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Evaluating the Potential of Machine Learning and Wearable Devices in End-of-Life Care in Predicting 7-Day Death Events Among Patients With Terminal Cancer: Cohort Study nork Jen-Hsuan Liu, Chih-Yuan Shih, Hsien-Liang Huang, Jen-Kuei Peng, Shao-Yi Cheng, Jaw-Shiun Tsai, Feipei Lai

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Prediction Model for Postoperative Quality of Life Among Breast Cancer Survivors Along the Survivorship Trajectory From Pretreatment to 5 Years: Machine Learning-Based Analysis nork Danbee Kang, Hyunsoo Kim, Juhee Cho, Zero Kim, Myungjin Chung, Jeong Eon Lee, Seok Jin Nam, Seok Won Kim, Jonghan Yu, Byung Joo Chae, Jai Min Ryu, Se Kyung Lee

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Prediction and the influencing factor study of colorectal cancer hospitalization costs in China based on machine learning-random forest and support vector regression: a retrospective study nork Jun Gao, Jun Gao, Yan Liu

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