Articles published in 2018 in this theme: 30 (scroll down to load remaining articles)
2018
![Real Time Influenza Monitoring Using Hospital Big Data in Combination with Machine Learning Methods: Comparison Study Real Time Influenza Monitoring Using Hospital Big Data in Combination with Machine Learning Methods: Comparison Study](https://asset.jmir.pub/assets/thumbs/6a0ff1f7ca0571210472fde8d6f7aec8.png 480w,https://asset.jmir.pub/assets/thumbs/6a0ff1f7ca0571210472fde8d6f7aec8.png 960w,https://asset.jmir.pub/assets/thumbs/6a0ff1f7ca0571210472fde8d6f7aec8.png 1920w,https://asset.jmir.pub/assets/thumbs/6a0ff1f7ca0571210472fde8d6f7aec8.png 2500w)
Canelle Poirier, Audrey Lavenu, Valérie Bertaud, Boris Campillo-Gimenez, Emmanuel Chazard, Marc Cuggia, Guillaume Bouzillé
JMIR Public Health Surveill 2018 (Dec 21); 4(4):e11361Download Citation: END BibTex RIS
![Exploring the Utility of Community-Generated Social Media Content for Detecting Depression: An Analytical Study on Instagram Exploring the Utility of Community-Generated Social Media Content for Detecting Depression: An Analytical Study on Instagram](https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/1719dead16ebae60589807b93cf2101d.png 480w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/1719dead16ebae60589807b93cf2101d.png 960w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/1719dead16ebae60589807b93cf2101d.png 1920w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/1719dead16ebae60589807b93cf2101d.png 2500w)
Benjamin J Ricard, Lisa A Marsch, Benjamin Crosier, Saeed Hassanpour
J Med Internet Res 2018 (Dec 06); 20(12):e11817Download Citation: END BibTex RIS
![Exploring the Transition to Fatherhood: Feasibility Study Using Social Media and Machine Learning Exploring the Transition to Fatherhood: Feasibility Study Using Social Media and Machine Learning](https://asset.jmir.pub/assets/thumbs/9b55d189fbfdffd05b902c1d8102b6b7.png 480w,https://asset.jmir.pub/assets/thumbs/9b55d189fbfdffd05b902c1d8102b6b7.png 960w,https://asset.jmir.pub/assets/thumbs/9b55d189fbfdffd05b902c1d8102b6b7.png 1920w,https://asset.jmir.pub/assets/thumbs/9b55d189fbfdffd05b902c1d8102b6b7.png 2500w)
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):e12371Download Citation: END BibTex RIS
![Prediction of Glucose Metabolism Disorder Risk Using a Machine Learning Algorithm: Pilot Study Prediction of Glucose Metabolism Disorder Risk Using a Machine Learning Algorithm: Pilot Study](https://asset.jmir.pub/assets/thumbs/37ed395efaab8ab5e4c488f05efc949c.png 480w,https://asset.jmir.pub/assets/thumbs/37ed395efaab8ab5e4c488f05efc949c.png 960w,https://asset.jmir.pub/assets/thumbs/37ed395efaab8ab5e4c488f05efc949c.png 1920w,https://asset.jmir.pub/assets/thumbs/37ed395efaab8ab5e4c488f05efc949c.png 2500w)
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):e10212Download Citation: END BibTex RIS
![Rethinking Data Sharing at the Dawn of a Health Data Economy: A Viewpoint Rethinking Data Sharing at the Dawn of a Health Data Economy: A Viewpoint](https://asset.jmir.pub/assets/thumbs/14e84cf2915f2d83b0a20f0706d03e88.png 480w,https://asset.jmir.pub/assets/thumbs/14e84cf2915f2d83b0a20f0706d03e88.png 960w,https://asset.jmir.pub/assets/thumbs/14e84cf2915f2d83b0a20f0706d03e88.png 1920w,https://asset.jmir.pub/assets/thumbs/14e84cf2915f2d83b0a20f0706d03e88.png 2500w)
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):e11519Download Citation: END BibTex RIS
![Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review](https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/58cfaf55ebc4af87e1a916614b1c6c85.png 480w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/58cfaf55ebc4af87e1a916614b1c6c85.png 960w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/58cfaf55ebc4af87e1a916614b1c6c85.png 1920w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/58cfaf55ebc4af87e1a916614b1c6c85.png 2500w)
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):e11936Download Citation: END BibTex RIS
![Utilization of Electronic Medical Records and Biomedical Literature to Support the Diagnosis of Rare Diseases Using Data Fusion and Collaborative Filtering Approaches Utilization of Electronic Medical Records and Biomedical Literature to Support the Diagnosis of Rare Diseases Using Data Fusion and Collaborative Filtering Approaches](https://asset.jmir.pub/assets/thumbs/0afc1e85998a62d728f6e6172305d26f.png 480w,https://asset.jmir.pub/assets/thumbs/0afc1e85998a62d728f6e6172305d26f.png 960w,https://asset.jmir.pub/assets/thumbs/0afc1e85998a62d728f6e6172305d26f.png 1920w,https://asset.jmir.pub/assets/thumbs/0afc1e85998a62d728f6e6172305d26f.png 2500w)
Feichen Shen, Sijia Liu, Yanshan Wang, Andrew Wen, Liwei Wang, Hongfang Liu
JMIR Med Inform 2018 (Oct 10); 6(4):e11301Download Citation: END BibTex RIS
![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 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](https://asset.jmir.pub/assets/thumbs/ef50ea75757c65a82ea66292e80a14e3.png 480w,https://asset.jmir.pub/assets/thumbs/ef50ea75757c65a82ea66292e80a14e3.png 960w,https://asset.jmir.pub/assets/thumbs/ef50ea75757c65a82ea66292e80a14e3.png 1920w,https://asset.jmir.pub/assets/thumbs/ef50ea75757c65a82ea66292e80a14e3.png 2500w)
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):e10754Download Citation: END BibTex RIS
![Improving Prediction of Risk of Hospital Admission in Chronic Obstructive Pulmonary Disease: Application of Machine Learning to Telemonitoring Data Improving Prediction of Risk of Hospital Admission in Chronic Obstructive Pulmonary Disease: Application of Machine Learning to Telemonitoring Data](https://asset.jmir.pub/assets/thumbs/9c46ff50a15f151a4b5cbace7439b5f4.png 480w,https://asset.jmir.pub/assets/thumbs/9c46ff50a15f151a4b5cbace7439b5f4.png 960w,https://asset.jmir.pub/assets/thumbs/9c46ff50a15f151a4b5cbace7439b5f4.png 1920w,https://asset.jmir.pub/assets/thumbs/9c46ff50a15f151a4b5cbace7439b5f4.png 2500w)
Peter Orchard, Anna Agakova, Hilary Pinnock, Christopher David Burton, Christophe Sarran, Felix Agakov, Brian McKinstry
J Med Internet Res 2018 (Sep 21); 20(9):e263Download Citation: END BibTex RIS
![Unsupervised Machine Learning to Identify High Likelihood of Dementia in Population-Based Surveys: Development and Validation Study Unsupervised Machine Learning to Identify High Likelihood of Dementia in Population-Based Surveys: Development and Validation Study](https://asset.jmir.pub/assets/thumbs/511bf3c598d92113e8adec9748bb098b.png 480w,https://asset.jmir.pub/assets/thumbs/511bf3c598d92113e8adec9748bb098b.png 960w,https://asset.jmir.pub/assets/thumbs/511bf3c598d92113e8adec9748bb098b.png 1920w,https://asset.jmir.pub/assets/thumbs/511bf3c598d92113e8adec9748bb098b.png 2500w)
Laurent Cleret de Langavant, Eleonore Bayen, Kristine Yaffe
J Med Internet Res 2018 (Jul 09); 20(7):e10493Download Citation: END BibTex RIS
![Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models](https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/9e59c8156cda79205dd859548385f30f.png 480w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/9e59c8156cda79205dd859548385f30f.png 960w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/9e59c8156cda79205dd859548385f30f.png 1920w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/9e59c8156cda79205dd859548385f30f.png 2500w)
Jingcheng Du, Lu Tang, Yang Xiang, Degui Zhi, Jun Xu, Hsing-Yi Song, Cui Tao
J Med Internet Res 2018 (Jul 09); 20(7):e236Download Citation: END BibTex RIS
![A Deep Learning Method to Automatically Identify Reports of Scientifically Rigorous Clinical Research from the Biomedical Literature: Comparative Analytic Study A Deep Learning Method to Automatically Identify Reports of Scientifically Rigorous Clinical Research from the Biomedical Literature: Comparative Analytic Study](https://asset.jmir.pub/assets/thumbs/b0bbc7d94142b03c2a34f7cba9d36ec0.png 480w,https://asset.jmir.pub/assets/thumbs/b0bbc7d94142b03c2a34f7cba9d36ec0.png 960w,https://asset.jmir.pub/assets/thumbs/b0bbc7d94142b03c2a34f7cba9d36ec0.png 1920w,https://asset.jmir.pub/assets/thumbs/b0bbc7d94142b03c2a34f7cba9d36ec0.png 2500w)
Guilherme Del Fiol, Matthew Michelson, Alfonso Iorio, Chris Cotoi, R Brian Haynes
J Med Internet Res 2018 (Jun 25); 20(6):e10281Download Citation: END BibTex RIS
![Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study Using Neural Networks with Routine Health Records to Identify Suicide Risk: Feasibility Study](https://asset.jmir.pub/assets/thumbs/dfd3c26521a500cc0afa353a08158e10.png 480w,https://asset.jmir.pub/assets/thumbs/dfd3c26521a500cc0afa353a08158e10.png 960w,https://asset.jmir.pub/assets/thumbs/dfd3c26521a500cc0afa353a08158e10.png 1920w,https://asset.jmir.pub/assets/thumbs/dfd3c26521a500cc0afa353a08158e10.png 2500w)
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):e10144Download Citation: END BibTex RIS
![Workshop on Emerging Technology and Data Analytics for Behavioral Health Workshop on Emerging Technology and Data Analytics for Behavioral Health](https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/30dd954fac1b356db3255367246ee89b.png 480w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/30dd954fac1b356db3255367246ee89b.png 960w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/30dd954fac1b356db3255367246ee89b.png 1920w,https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/30dd954fac1b356db3255367246ee89b.png 2500w)
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):e158Download Citation: END BibTex RIS
![Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum](https://asset.jmir.pub/assets/thumbs/eb7b2d90bae6511980a8a553083cd9be.png 480w,https://asset.jmir.pub/assets/thumbs/eb7b2d90bae6511980a8a553083cd9be.png 960w,https://asset.jmir.pub/assets/thumbs/eb7b2d90bae6511980a8a553083cd9be.png 1920w,https://asset.jmir.pub/assets/thumbs/eb7b2d90bae6511980a8a553083cd9be.png 2500w)
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):e10136Download Citation: END BibTex RIS
![Predicting Caller Type From a Mental Health and Well-Being Helpline: Analysis of Call Log Data Predicting Caller Type From a Mental Health and Well-Being Helpline: Analysis of Call Log Data](https://asset.jmir.pub/assets/thumbs/9457be55c927b6b59d9ab72239e8d603.png 480w,https://asset.jmir.pub/assets/thumbs/9457be55c927b6b59d9ab72239e8d603.png 960w,https://asset.jmir.pub/assets/thumbs/9457be55c927b6b59d9ab72239e8d603.png 1920w,https://asset.jmir.pub/assets/thumbs/9457be55c927b6b59d9ab72239e8d603.png 2500w)
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):e47Download Citation: END BibTex RIS
![Predicting the Reasons of Customer Complaints: A First Step Toward Anticipating Quality Issues of In Vitro Diagnostics Assays with Machine Learning Predicting the Reasons of Customer Complaints: A First Step Toward Anticipating Quality Issues of In Vitro Diagnostics Assays with Machine Learning](https://asset.jmir.pub/assets/thumbs/73713ba0253f9053b3ee60305c31d0dc.png 480w,https://asset.jmir.pub/assets/thumbs/73713ba0253f9053b3ee60305c31d0dc.png 960w,https://asset.jmir.pub/assets/thumbs/73713ba0253f9053b3ee60305c31d0dc.png 1920w,https://asset.jmir.pub/assets/thumbs/73713ba0253f9053b3ee60305c31d0dc.png 2500w)
Stephane Aris-Brosou, James Kim, Li Li, Hui Liu
JMIR Med Inform 2018 (May 15); 6(2):e34Download Citation: END BibTex RIS
![Causality Patterns for Detecting Adverse Drug Reactions From Social Media: Text Mining Approach Causality Patterns for Detecting Adverse Drug Reactions From Social Media: Text Mining Approach](https://asset.jmir.pub/assets/thumbs/89567663c8a31d2164a7c7df61bfa911.png 480w,https://asset.jmir.pub/assets/thumbs/89567663c8a31d2164a7c7df61bfa911.png 960w,https://asset.jmir.pub/assets/thumbs/89567663c8a31d2164a7c7df61bfa911.png 1920w,https://asset.jmir.pub/assets/thumbs/89567663c8a31d2164a7c7df61bfa911.png 2500w)
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):e51Download Citation: END BibTex RIS