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Document-Level Biomedical Relation Extraction Leveraging Pretrained Self-Attention Structure and Entity Replacement: Algorithm and Pretreatment Method Validation Study

Document-Level Biomedical Relation Extraction Leveraging Pretrained Self-Attention Structure and Entity Replacement: Algorithm and Pretreatment Method Validation Study

In addition, few studies, except those by Li et al [13] and Verga et al [14], have considered the influence of noisy data due to the segmentation of datasets and taking advantage of the textual context.

Xiaofeng Liu, Jianye Fan, Shoubin Dong

JMIR Med Inform 2020;8(5):e17644

Symptom Distribution Regularity of Insomnia: Network and Spectral Clustering Analysis

Symptom Distribution Regularity of Insomnia: Network and Spectral Clustering Analysis

Li et al [15] explored suitable preprocessing methods for analysis of TCM clinical data based on a prospective study on patients with insomnia treated according to syndrome differentiation.

Fang Hu, Liuhuan Li, Xiaoyu Huang, Xingyu Yan, Panpan Huang

JMIR Med Inform 2020;8(4):e16749

Response to: Self-Directed Interventions to Promote Weight Loss: A Systematic Review of Reviews

Response to: Self-Directed Interventions to Promote Weight Loss: A Systematic Review of Reviews

In the February issue of the Journal of Medical Internet Research, Tang et al reported a systematic review of reviews examining the effectiveness of self-directed interventions to promote weight loss [1].

Melinda J Hutchesson, Philip J Morgan, Penelope McCoy, Clare E Collins

J Med Internet Res 2014;16(7):e178

Purposive Facebook Recruitment Endows Cost-Effective Nutrition Education Program Evaluation

Purposive Facebook Recruitment Endows Cost-Effective Nutrition Education Program Evaluation

The survey set included the Satter Eating Competence Inventory for Low-Income (ecSI/LI), a 16-item, validated measure to assess eating competence (EC) [15].

Barbara Lohse, Patricia Wamboldt

JMIR Res Protoc 2013;2(2):e27

Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index

Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index

The EI was then converted to a value between 0 and 100.Equation 1: Engagement index formulaEI=∑(C i+L i+I i+R i+F i)×100where EI is engagement index, Ci is click depth index, Li is loyalty index, Ii is interaction

Sarah Taki, Sharyn Lymer, Catherine Georgina Russell, Karen Campbell, Rachel Laws, Kok-Leong Ong, Rosalind Elliott, Elizabeth Denney-Wilson

JMIR Mhealth Uhealth 2017;5(6):e89