Machine Learning

Articles published in 2019 in this theme: 46 (scroll down to load remaining articles)

2019

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Accuracy of Machine Learning Algorithms for the Diagnosis of Autism Spectrum Disorder: Systematic Review and Meta-Analysis of Brain Magnetic Resonance Imaging Studies

Sun Jae Moon, Jinseub Hwang, Rajesh Kana, John Torous, Jung Won Kim

JMIR Ment Health 2019 (Dec 20); 6(12):e14108

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How New Technologies Can Improve Prediction, Assessment, and Intervention in Obsessive-Compulsive Disorder (e-OCD): Review

Florian Ferreri, Alexis Bourla, Charles-Siegfried Peretti, Tomoyuki Segawa, Nemat Jaafari, Stéphane Mouchabac

JMIR Ment Health 2019 (Dec 10); 6(12):e11643

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Age Assessment of Youth and Young Adults Using Magnetic Resonance Imaging of the Knee: A Deep Learning Approach

Ana Luiza Dallora, Johan Sanmartin Berglund, Martin Brogren, Ola Kvist, Sandra Diaz Ruiz, André Dübbel, Peter Anderberg

JMIR Med Inform 2019 (Dec 05); 7(4):e16291

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Using a Large Margin Context-Aware Convolutional Neural Network to Automatically Extract Disease-Disease Association from Literature: Comparative Analytic Study

Po-Ting Lai, Wei-Liang Lu, Ting-Rung Kuo, Chia-Ru Chung, Jen-Chieh Han, Richard Tzong-Han Tsai, Jorng-Tzong Horng

JMIR Med Inform 2019 (Nov 26); 7(4):e14502

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Interpretability and Class Imbalance in Prediction Models for Pain Volatility in Manage My Pain App Users: Analysis Using Feature Selection and Majority Voting Methods

Quazi Abidur Rahman, Tahir Janmohamed, Hance Clarke, Paul Ritvo, Jane Heffernan, Joel Katz

JMIR Med Inform 2019 (Nov 20); 7(4):e15601

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Unlocking the Power of Artificial Intelligence and Big Data in Medicine

Christian Lovis

J Med Internet Res 2019 (Nov 08); 21(11):e16607

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Automatic Detection of Hypoglycemic Events From the Electronic Health Record Notes of Diabetes Patients: Empirical Study

Yonghao Jin, Fei Li, Varsha G Vimalananda, Hong Yu

JMIR Med Inform 2019 (Nov 08); 7(4):e14340

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Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study

Zubair Shah, Didi Surian, Amalie Dyda, Enrico Coiera, Kenneth D Mandl, Adam G Dunn

J Med Internet Res 2019 (Nov 04); 21(11):e14007

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Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial

Syed Hasib Akhter Faruqui, Yan Du, Rajitha Meka, Adel Alaeddini, Chengdong Li, Sara Shirinkam, Jing Wang

JMIR Mhealth Uhealth 2019 (Nov 01); 7(11):e14452

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Exploiting Machine Learning Algorithms and Methods for the Prediction of Agitated Delirium After Cardiac Surgery: Models Development and Validation Study

Hani Nabeel Mufti, Gregory Marshal Hirsch, Samina Raza Abidi, Syed Sibte Raza Abidi

JMIR Med Inform 2019 (Oct 23); 7(4):e14993

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Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone

Heejung Kim, SungHee Lee, SangEun Lee, Soyun Hong, HeeJae Kang, Namhee Kim

JMIR Mhealth Uhealth 2019 (Oct 16); 7(10):e14149

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Developing Machine Learning Algorithms for the Prediction of Early Death in Elderly Cancer Patients: Usability Study

Gabrielle Ribeiro Sena, Tiago Pessoa Ferreira Lima, Maria Julia Gonçalves Mello, Luiz Claudio Santos Thuler, Jurema Telles Oliveira Lima

JMIR Cancer 2019 (Sep 26); 5(2):e12163

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Mining Hidden Knowledge About Illegal Compensation for Occupational Injury: Topic Model Approach

Jin-Young Min, Sung-Hee Song, HyeJin Kim, Kyoung-Bok Min

JMIR Med Inform 2019 (Sep 26); 7(3):e14763

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Cox Proportional Hazard Regression Versus a Deep Learning Algorithm in the Prediction of Dementia: An Analysis Based on Periodic Health Examination

Woo Jung Kim, Ji Min Sung, David Sung, Myeong-Hun Chae, Suk Kyoon An, Kee Namkoong, Eun Lee, Hyuk-Jae Chang

JMIR Med Inform 2019 (Aug 30); 7(3):e13139

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A Reinforcement Learning–Based Method for Management of Type 1 Diabetes: Exploratory Study

Mahsa Oroojeni Mohammad Javad, Stephen Olusegun Agboola, Kamal Jethwani, Abe Zeid, Sagar Kamarthi

JMIR Diabetes 2019 (Aug 28); 4(3):e12905

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Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review

Jiayi Shen, Casper J P Zhang, Bangsheng Jiang, Jiebin Chen, Jian Song, Zherui Liu, Zonglin He, Sum Yi Wong, Po-Han Fang, Wai-Kit Ming

JMIR Med Inform 2019 (Aug 16); 7(3):e10010

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A Machine Learning Method for Identifying Lung Cancer Based on Routine Blood Indices: Qualitative Feasibility Study

Jiangpeng Wu, Xiangyi Zan, Liping Gao, Jianhong Zhao, Jing Fan, Hengxue Shi, Yixin Wan, E Yu, Shuyan Li, Xiaodong Xie

JMIR Med Inform 2019 (Aug 15); 7(3):e13476

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Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations

Igbe Tobore, Jingzhen Li, Liu Yuhang, Yousef Al-Handarish, Abhishek Kandwal, Zedong Nie, Lei Wang

JMIR Mhealth Uhealth 2019 (Aug 02); 7(8):e11966

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Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data

Afsaneh Doryab, Daniella K Villalba, Prerna Chikersal, Janine M Dutcher, Michael Tumminia, Xinwen Liu, Sheldon Cohen, Kasey Creswell, Jennifer Mankoff, John D Creswell, Anind K Dey

JMIR Mhealth Uhealth 2019 (Jul 24); 7(7):e13209

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Identification of Patients in Need of Advanced Care for Depression Using Data Extracted From a Statewide Health Information Exchange: A Machine Learning Approach

Suranga N Kasthurirathne, Paul G Biondich, Shaun J Grannis, Saptarshi Purkayastha, Joshua R Vest, Josette F Jones

J Med Internet Res 2019 (Jul 22); 21(7):e13809

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