検索結果 - "Machine Learning"

Fundamentals

主題: “…Resource-Aware Machine Learning…”
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Applications

主題: “…Resource-Aware Machine Learning…”
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Discovery in Physics

主題: “…Resource-Aware Machine Learning…”
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The Shallow and the Deep A biased introduction to neural networks and old school machine learning 著者: Biehl, Michael

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Multiscale Cohort Modeling of Atrial Electrophysiology Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms 著者: Nagel, Claudia

主題: “…Electrophysiologische Modellierung und Simulation; Elektrokardiogramm; Maschinelles Lernen; Vorhofflimmern; Statistisches Shape Modell; electrophysiological modeling and simulation; electrocardiogram; machine learning; atrial fibrillation; statistical shape model…”
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Multiscale Cohort Modeling of Atrial Electrophysiology Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms 著者: Nagel, Claudia

主題: “…Electrophysiologische Modellierung und Simulation; Elektrokardiogramm; Maschinelles Lernen; Vorhofflimmern; Statistisches Shape Modell; electrophysiological modeling and simulation; electrocardiogram; machine learning; atrial fibrillation; statistical shape model…”
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Relative Performance of Machine Learning and Linear Regression in Predicting Quality of Life and Academic Performance of School Children in Norway: Data Analysis of a Quasi-Experimental Study 著者: Robert Froud, Solveig Hakestad Hansen, Hans Kristian Ruud, Jonathan Foss, Leila Ferguson, Per Morten Fredriksen

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Personalized Risk Analysis to Improve the Psychological Resilience of Women Undergoing Treatment for Breast Cancer: Development of a Machine Learning-Driven Clinical Decision Support Tool 著者: Georgios C Manikis, Nicholas J Simos, Konstantina Kourou, Haridimos Kondylakis, Paula Poikonen-Saksela, Ketti Mazzocco, Ruth Pat-Horenczyk, Berta Sousa, Albino J Oliveira-Maia, Johanna Mattson, Ilan Roziner, Chiara Marzorati, Kostas Marias, Mikko Nuutinen, Evangelos Karademas, Dimitrios Fotiadis

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Machine learning judged neutral facial expressions as key factors for a "good therapist" within the first five minutes: An experiment to simulate online video counselling 著者: Satoshi Yokoyama, Asuna Shikano, Hiroki Chiba, Takeshi Murakami, Takushi Kawamorita, Takayuki Murayama, Daisuke Ito, Kanako Ichikura

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Addendum to the Acknowledgements: Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study 著者: Cho, Chul-Hyun, Lee, Taek, Kim, Min-Gwan, In, Hoh Peter, Kim, Leen, Lee, Heon-Jeong

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A data-driven approach utilizing a raw material database and machine learning tools to predict the disintegration time of orally fast-disintegrating tablet formulations 著者: Navyaja Kota, Raju Kamaraj, S. Murugaanandam, Mohan Bharathi, T. Sudheer Kumar

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Construction of environmental risk score beyond standard linear models using machine learning methods: application to metal mixtures, oxidative stress and cardiovascular disease in NHANES 著者: Sung Kyun Park, Zhangchen Zhao, Bhramar Mukherjee

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Identifying Predictors Associated with Risk of Death or Admission to Intensive Care Unit in Internal Medicine Patients with Sepsis: A Comparison of Statistical Models and Machine Learning Algorithms 著者: Antonio Mirijello, Andrea Fontana, Antonio Pio Greco, Alberto Tosoni, Angelo D'Agruma, Maria Labonia, Massimiliano Copetti, Pamela Piscitelli, Salvatore De Cosmo, on behalf of the Internal Medicine Sepsis Study Group

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Predicting Migrant Workers' Intention to Acquire Local Citizenship (Hukou) in Emerging Cities Using Machine Learning Models: A Case Study of Five Dongguan Factories 著者: Feng-Shuo Chang, Elisa Impara

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Machine Learning-Based Prediction of Neurodegenerative Disease in Patients With Type 2 Diabetes by Derivation and Validation in 2 Independent Korean Cohorts: Model Development and Validation Study 著者: Hyunji Sang, Hojae Lee, Jaeyu Park, Sunyoung Kim, Ho Geol Woo, Ai Koyanagi, Lee Smith, Sihoon Lee, You-Cheol Hwang, Tae Sun Park, Hyunjung Lim, Dong Keon Yon, Sang Youl Rhee

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Identifying Patients at Risk of Acute Kidney Injury Among Medicare Beneficiaries With Type 2 Diabetes Initiating SGLT2 Inhibitors: A Machine Learning Approach 著者: Lanting Yang, Nico Gabriel, Inmaculada Hernandez, Scott M. Vouri, Stephen E. Kimmel, Jiang Bian, Jingchuan Guo

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Correction: Tracking and Monitoring Mood Stability of Patients With Major Depressive Disorder by Machine Learning Models Using Passive Digital Data: Prospective Naturalistic Multicenter Study 著者: Ran Bai, Le Xiao, Yu Guo, Xuequan Zhu, Nanxi Li, Yashen Wang, Qinqin Chen, Lei Feng, Yinghua Wang, Xiangyi Yu, Chunxue Wang, Yongdong Hu, Zhandong Liu, Haiyong Xie, Gang Wang

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Integrated machine learning and bioinformatic analyses used to construct a copper-induced cell death-related classifier for prognosis and immunotherapeutic response of hepatocellular carcinoma patients 著者: Shuai Zhao, Shuxian Chen, Wangrui Liu, Shiyin Wei, Xinrui Wu, Dan Cui, Lifeng Jiang, Siyu Chen, Jian Wang

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Detection of acute dengue virus infection, with and without concurrent malaria infection, in a cohort of febrile children in Kenya, 2014-2019, by clinicians or machine learning algorithms. 著者: David M Vu, Amy R Krystosik, Bryson A Ndenga, Francis M Mutuku, Kelsey Ripp, Elizabeth Liu, Carren M Bosire, Claire Heath, Philip Chebii, Priscilla Watiri Maina, Zainab Jembe, Said Lipi Malumbo, Jael Sagina Amugongo, Charles Ronga, Victoria Okuta, Noah Mutai, Nzaro G Makenzi, Kennedy A Litunda, Dunstan Mukoko, Charles H King, A Desiree LaBeaud

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Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study 著者: Wu, Chia-Tung, Li, Guo-Hung, Huang, Chun-Ta, Cheng, Yu-Chieh, Chen, Chi-Hsien, Chien, Jung-Yien, Kuo, Ping-Hung, Kuo, Lu-Cheng, Lai, Feipei

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