Search Results - "Machine learning"

Fundamentals

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

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

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

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

Subjects: “…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 by Nagel, Claudia

Subjects: “…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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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. by 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 by 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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