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Developing a Comprehensive Model for Improving Quality of Life in Individuals with Alzheimer Disease and Related Dementia and Their Informal Caregivers: Qualitative Study of AZL Forum Data

Developing a Comprehensive Model for Improving Quality of Life in Individuals with Alzheimer Disease and Related Dementia and Their Informal Caregivers: Qualitative Study of AZL Forum Data

Science Center at San AntonioSan Antonio, TXUnited Stateswangj1@uthscsa.edu1The University of Texas Health Science Center at San AntonioSan Antonio, TXUnited StatesCorresponding Author: Jing Wang wangj1@uthscsa.eduJan-Dec2019210201951e1623012920191392019©Yan

Yan Du, Brittney Lewis, Katrina Lopez, Chengdong Li, Carole White, Sudha Seshadri, Jing Wang

iproc 2019;5(1):e16230


Correction: Technology-Based Interventions in Oral Anticoagulation Management: Meta-Analysis of Randomized Controlled Trials

Correction: Technology-Based Interventions in Oral Anticoagulation Management: Meta-Analysis of Randomized Controlled Trials

The authors wish to change the order of the first and second authors so that Hengfen Dai is first author and Caiyun Zheng is second author.The previous order of authorship was as follows:Caiyun Zheng, Hengfen Dai, Chun Lin, Yan Zhang, Hong Zhang, Fan Chen,

Hengfen Dai, Caiyun Zheng, Chun Lin, Yan Zhang, Hong Zhang, Fan Chen, Yunchun Liu, Jingwen Xiao, Chaoxin Chen

J Med Internet Res 2020;22(8):e22761


Correlation and Interaction Visualization of Altmetric Indicators Extracted From Scholarly Social Network Activities: Dimensions and Structure

Correlation and Interaction Visualization of Altmetric Indicators Extracted From Scholarly Social Network Activities: Dimensions and Structure

For example, Yan and Gerstein [16] examined the correlation between 18 different metrics, including article usage (HTML views, PDF downloads, XML downloads), citation statistics, blog coverage, social bookmarking, and online ratings in the PLOS Article-Level

Chun Li Liu, Yue Quan Xu, Hui Wu, Si Si Chen, Ji Jun Guo

J Med Internet Res 2013;15(11):e259


An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble Model

An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble Model

In this study, Yan et al initially considered 73 blood-borne markers for the mortality prediction model; finally, three blood biomarkers were selected, including lactate dehydrogenase (LDH), lymphocyte, and high-sensitivity C-reactive protein (hs-CRP).

Hoon Ko, Heewon Chung, Wu Seong Kang, Chul Park, Do Wan Kim, Seong Eun Kim, Chi Ryang Chung, Ryoung Eun Ko, Hooseok Lee, Jae Ho Seo, Tae-Young Choi, Rafael Jaimes, Kyung Won Kim, Jinseok Lee

J Med Internet Res 2020;22(12):e25442


Smartphone-Delivered Peer Physical Activity Counseling Program for Individuals With Spinal Cord Injury: Protocol for Development and Pilot Evaluation

Smartphone-Delivered Peer Physical Activity Counseling Program for Individuals With Spinal Cord Injury: Protocol for Development and Pilot Evaluation

direction of the relationships between sociodemographic and epidemiological factors and primary and secondary outcomes, looking for moderate to strong relationships [90].ResultsThis project is funded by the Craig H Neilsen Foundation, the Fonds de Recherche du

Krista L Best, François Routhier, Shane N Sweet, Emilie Lacroix, Kelly P Arbour-Nicitopoulos, Jaimie F Borisoff

JMIR Res Protoc 2019;8(3):e10798


Use of a Text Message-Based Pharmacovigilance Tool in Cambodia: Pilot Study

Use of a Text Message-Based Pharmacovigilance Tool in Cambodia: Pilot Study

More than 25,000 vaccine doses were administered to 16,630 health users in 2012 (Figure 1) referred to the International Vaccination Center at the Institut Pasteur du Cambodge (IPC), the only such vaccination center in Cambodia (Figure 2).

Sophie Baron, Flavie Goutard, Kunthy Nguon, Arnaud Tarantola

J Med Internet Res 2013;15(4):e68


Reducing Salt Intake in China with “Action on Salt China” (ASC): Protocol for Campaigns and Randomized Controlled Trials

Reducing Salt Intake in China with “Action on Salt China” (ASC): Protocol for Campaigns and Randomized Controlled Trials

stage 1.Several smartphone apps and WeChat applets (ie, very small apps) have also been developed to help consumers choose foods with less salt (FoodSwitch, Shi Xian Zhi in Chinese pinyin), to help families estimate their salt intake (KnowSalt, Jia Ting Yong Yan

Puhong Zhang, Feng J He, Yuan Li, Changning Li, Jing Wu, Jixiang Ma, Bing Zhang, Huijun Wang, Yinghua Li, Junhua Han, Rong Luo, Jing He, Xian Li, Yu Liu, Changqiong Wang, Monique Tan, Graham A MacGregor, Xinhua Li

JMIR Res Protoc 2020;9(4):e15933


Issues in Building a Nursing Home Syndromic Surveillance System with Textmining: Longitudinal Observational Study

Issues in Building a Nursing Home Syndromic Surveillance System with Textmining: Longitudinal Observational Study

The objective of this study was to build and assess an influenza and acute gastroenteritis national ecological NH public health (PH) SS describing and validating the Base du Bien Vieillir (BBV), that is, Aging Well database architecture.

Tiba Delespierre, Loic Josseran

JMIR Public Health Surveill 2018;4(4):e69