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Online Social Engagement by Cancer Patients: A Clinic-Based Patient Survey

Online Social Engagement by Cancer Patients: A Clinic-Based Patient Survey

past 12 months, 80% of online adults searched for health information, 26% of people reported reading about or watching another person’s health experience, and 16% went online to connect with others who had the same condition, including 4.6% who took part in an

Lawrence C An, Lauren Wallner, Matthias Alexander Kirch

JMIR Cancer 2016;2(2):e10


Trustworthiness, Readability, and Suitability of Web-Based Information for Stroke Prevention and Self-Management for Korean Americans: Critical Evaluation

Trustworthiness, Readability, and Suitability of Web-Based Information for Stroke Prevention and Self-Management for Korean Americans: Critical Evaluation

Stroke is the foremost cause of serious long-term disability, with high health care cost [20], and puts an increasing economic burden on health care resources [21].

Mikyoung A Lee, Cha-Nam Shin, Kyungeh An

Interact J Med Res 2018;7(2):e10440


A Novel Just-in-Time Contextual Mobile App Intervention to Reduce Sodium Intake in Hypertension: Protocol and Rationale for a Randomized Controlled Trial (LowSalt4Life Trial)

A Novel Just-in-Time Contextual Mobile App Intervention to Reduce Sodium Intake in Hypertension: Protocol and Rationale for a Randomized Controlled Trial (LowSalt4Life Trial)

In an analysis of the Trials of Hypertension Prevention, participants randomized to low-sodium interventions had a 25% lower long-term risk of cardiovascular disease (RR 0.75, 95% CI 0.57-0.99) [4].

Michael P Dorsch, Lawrence C An, Scott L Hummel

JMIR Res Protoc 2018;7(12):e11282


Computer-Assisted Update of a Consumer Health Vocabulary Through Mining of Social Network Data

Computer-Assisted Update of a Consumer Health Vocabulary Through Mining of Social Network Data

Examples of biomedical ATRs are Collier et al’s hidden Markov model for identifying gene names and gene products, as well as Frantzi et al’s “C-value” and Zeng et al’s “termhood” score [17-19].

Kristina M Doing-Harris, Qing Zeng-Treitler

J Med Internet Res 2011;13(2):e37


Tracking Dabbing Using Search Query Surveillance: A Case Study in the United States

Tracking Dabbing Using Search Query Surveillance: A Case Study in the United States

Introduction“Dabbing” is a colloquial term referring to the inhalation of vaporized marijuana concentrates and is an increasingly popular method of marijuana ingestion [1].

Zhu Zhang, Xiaolong Zheng, Daniel Dajun Zeng, Scott J Leischow

J Med Internet Res 2016;18(9):e252