Search Results - "machines"

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 by 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 by Paul Boadu, Leah McLaughlin, Mustafa Al-Haboubi, Jennifer Bostock, Jane Noyes, Stephen O'Neill, Nicholas Mays

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Confiabilidad entre instrumentos (T-Force® y Myotest®) en la valoración de la fuerza. (Inter-machine Reliability (T-Force® y Myotest®) in strength assessment). by Pedro Tomas Gómez-Piriz, Maria Eva Trigo Sánchez, David Cabello Manrique, Esther Puga González

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Ellipsoid clustering machine: a front line to aid in disease diagnosis - DOI: 10.3395/reciis.v1i2.Sup.101en by Paulo Costa Carvalho, Juliana de Saldanha da Gama Fischer, Valmir C. Barbosa, Maria da Glória da Costa Carvalho, Wim Degrave, Gilberto Barbosa Domont

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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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by Jun Gao, Jun Gao, Yan Liu

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Machine learning approaches for prediction of early death among lung cancer patients with bone metastases using routine clinical characteristics: An analysis of 19,887 patients by Yunpeng Cui, Xuedong Shi, Shengjie Wang, Yong Qin, Bailin Wang, Xiaotong Che, Mingxing Lei, Mingxing Lei, Mingxing Lei

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Machine Learning-Based Prediction for Incident Hypertension Based on Regular Health Checkup Data: Derivation and Validation in 2 Independent Nationwide Cohorts in South Korea and Japan by Seung Ha Hwang, Hayeon Lee, Jun Hyuk Lee, Myeongcheol Lee, Ai Koyanagi, Lee Smith, Sang Youl Rhee, Dong Keon Yon, Jinseok Lee

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Application of supervised machine learning algorithms to predict the risk of hidden blood loss during the perioperative period in thoracolumbar burst fracture patients complicated with neurological compromise by Bo Yang, Lin Gao, Xingang Wang, Jianmin Wei, Bin Xia, Xiangwei Liu, Peng Zheng

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AutoPepVax, a Novel Machine-Learning-Based Program for Vaccine Design: Application to a Pan-Cancer Vaccine Targeting EGFR Missense Mutations by Enrico Bautista, Young Hyun Jung, Manuela Jaramillo, Harrish Ganesh, Aryaan Varma, Kush Savsani, Sivanesan Dakshanamurthy

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