Machine Learning

Articles published in 2018 in this theme: 30 (scroll down to load remaining articles)

2018

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Real Time Influenza Monitoring Using Hospital Big Data in Combination with Machine Learning Methods: Comparison Study

Canelle Poirier, Audrey Lavenu, Valérie Bertaud, Boris Campillo-Gimenez, Emmanuel Chazard, Marc Cuggia, Guillaume Bouzillé

JMIR Public Health Surveill 2018 (Dec 21); 4(4):e11361

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Exploring the Utility of Community-Generated Social Media Content for Detecting Depression: An Analytical Study on Instagram

Benjamin J Ricard, Lisa A Marsch, Benjamin Crosier, Saeed Hassanpour

J Med Internet Res 2018 (Dec 06); 20(12):e11817

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Exploring the Transition to Fatherhood: Feasibility Study Using Social Media and Machine Learning

Samantha J Teague, Adrian BR Shatte

JMIR Pediatr Parent 2018 (Nov 27); 1(2):e12371

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Extraction of Information Related to Adverse Drug Events from Electronic Health Record Notes: Design of an End-to-End Model Based on Deep Learning

Fei Li, Weisong Liu, Hong Yu

JMIR Med Inform 2018 (Nov 26); 6(4):e12159

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Prediction of Glucose Metabolism Disorder Risk Using a Machine Learning Algorithm: Pilot Study

Katsutoshi Maeta, Yu Nishiyama, Kazutoshi Fujibayashi, Toshiaki Gunji, Noriko Sasabe, Kimiko Iijima, Toshio Naito

JMIR Diabetes 2018 (Nov 26); 3(4):e10212

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Rethinking Data Sharing at the Dawn of a Health Data Economy: A Viewpoint

Chunlei Tang, Joseph M Plasek, David W. Bates

J Med Internet Res 2018 (Nov 22); 20(11):e11519

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Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review

Titus Josef Brinker, Achim Hekler, Jochen Sven Utikal, Niels Grabe, Dirk Schadendorf, Joachim Klode, Carola Berking, Theresa Steeb, Alexander H Enk, Christof von Kalle

J Med Internet Res 2018 (Oct 17); 20(10):e11936

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Utilization of Electronic Medical Records and Biomedical Literature to Support the Diagnosis of Rare Diseases Using Data Fusion and Collaborative Filtering Approaches

Feichen Shen, Sijia Liu, Yanshan Wang, Andrew Wen, Liwei Wang, Hongfang Liu

JMIR Med Inform 2018 (Oct 10); 6(4):e11301

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Predicting Adherence to Internet-Delivered Psychotherapy for Symptoms of Depression and Anxiety After Myocardial Infarction: Machine Learning Insights From the U-CARE Heart Randomized Controlled Trial

John Wallert, Emelie Gustafson, Claes Held, Guy Madison, Fredrika Norlund, Louise von Essen, Erik Martin Gustaf Olsson

J Med Internet Res 2018 (Oct 10); 20(10):e10754

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Improving Prediction of Risk of Hospital Admission in Chronic Obstructive Pulmonary Disease: Application of Machine Learning to Telemonitoring Data

Peter Orchard, Anna Agakova, Hilary Pinnock, Christopher David Burton, Christophe Sarran, Felix Agakov, Brian McKinstry

J Med Internet Res 2018 (Sep 21); 20(9):e263

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Recognition of Emotions Conveyed by Touch Through Force-Sensitive Screens: Observational Study of Humans and Machine Learning Techniques

Alicia Heraz, Manfred Clynes

JMIR Ment Health 2018 (Aug 30); 5(3):e10104

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Unsupervised Machine Learning to Identify High Likelihood of Dementia in Population-Based Surveys: Development and Validation Study

Laurent Cleret de Langavant, Eleonore Bayen, Kristine Yaffe

J Med Internet Res 2018 (Jul 09); 20(7):e10493

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Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models

Jingcheng Du, Lu Tang, Yang Xiang, Degui Zhi, Jun Xu, Hsing-Yi Song, Cui Tao

J Med Internet Res 2018 (Jul 09); 20(7):e236

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A Deep Learning Method to Automatically Identify Reports of Scientifically Rigorous Clinical Research from the Biomedical Literature: Comparative Analytic Study

Guilherme Del Fiol, Matthew Michelson, Alfonso Iorio, Chris Cotoi, R Brian Haynes

J Med Internet Res 2018 (Jun 25); 20(6):e10281

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Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study

Marcos DelPozo-Banos, Ann John, Nicolai Petkov, Damon Mark Berridge, Kate Southern, Keith LLoyd, Caroline Jones, Sarah Spencer, Carlos Manuel Travieso

JMIR Ment Health 2018 (Jun 22); 5(2):e10144

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Workshop on Emerging Technology and Data Analytics for Behavioral Health

David Kotz, Sarah E Lord, A James O'Malley, Luke Stark, Lisa A. Marsch

JMIR Res Protoc 2018 (Jun 20); 7(6):e158

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Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum

Rachel Kornfield, Prathusha K Sarma, Dhavan V Shah, Fiona McTavish, Gina Landucci, Klaren Pe-Romashko, David H Gustafson

J Med Internet Res 2018 (Jun 12); 20(6):e10136

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Predicting Caller Type From a Mental Health and Well-Being Helpline: Analysis of Call Log Data

Alexander Grigorash, Siobhan O'Neill, Raymond Bond, Colette Ramsey, Cherie Armour, Maurice D Mulvenna

JMIR Ment Health 2018 (Jun 11); 5(2):e47

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Predicting the Reasons of Customer Complaints: A First Step Toward Anticipating Quality Issues of In Vitro Diagnostics Assays with Machine Learning

Stephane Aris-Brosou, James Kim, Li Li, Hui Liu

JMIR Med Inform 2018 (May 15); 6(2):e34

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Causality Patterns for Detecting Adverse Drug Reactions From Social Media: Text Mining Approach

Danushka Bollegala, Simon Maskell, Richard Sloane, Joanna Hajne, Munir Pirmohamed

JMIR Public Health Surveill 2018 (May 09); 4(2):e51

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