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Improving Orthopedic Care Delivery Through Digital Engagement

Improving Orthopedic Care Delivery Through Digital Engagement

cancellation, length of hospital stay, discharge to home vs discharge to a skilled nursing facility, any ED visit within 30 days of discharge, and any inpatient readmission within 30 days of dischargeMethodsThis was a quasi-experimental design comparing Jan-Jun

Lisa Biernat, Carly E. Milliren, Jon Rauen, Bill Lindsay, Betsy Weaver, Todd Smith

iproc 2019;5(1):e16305


Which Doctor to Trust: A Recommender System for Identifying the Right Doctors

Which Doctor to Trust: A Recommender System for Identifying the Right Doctors

Here we present an advanced method for implementing Web crawler task management based on Jun [12], which Figure 2 shows.

Li Guo, Bo Jin, Cuili Yao, Haoyu Yang, Degen Huang, Fei Wang

J Med Internet Res 2016;18(7):e186


Peer Review of “Predicting Health Disparities in Regions at Risk of Severe Illness to Inform Health Care Resource Allocation During Pandemics: Observational Study”

Peer Review of “Predicting Health Disparities in Regions at Risk of Severe Illness to Inform Health Care Resource Allocation During Pandemics: Observational Study”

Trop Med Int Health. 2006 Jun;11(6):781-8. doi: 10.1111/j.1365-3156.2006.01630.x. PMID: 16771998. Chung WM, Buseman CM, Joyner SN, Hughes SM, Fomby TB, Luby JP, Haley RW. The 2012 West Nile encephalitis epidemic in Dallas, Texas.

Ross Gore

JMIRx Med 2020;1(1):e25572


Developing a Decision-Aid Website for Breast Cancer Surgery: An Action Research Approach

Developing a Decision-Aid Website for Breast Cancer Surgery: An Action Research Approach

This story was named the “Story of Shu-Jun” and tells the story of Shu-Jun (a common Chinese female first name), who is a woman full of despair and anxiety after realizing she had developed cancer.

Yu-Ting Hung, Ching-Fang Wu, Te-Hsin Liang, Shin-Shang Chou, Guan-Liang Chen, Pei-Ni Wu, Guan-Rong Su, Tsuey-Huah Jang, Chang-Yi Liu, Ching-Yen Wang, Ling-Ming Tseng, Shuh-Jen Sheu

J Med Internet Res 2019;21(2):e10404


A Method to Learn Embedding of a Probabilistic Medical Knowledge Graph: Algorithm Development

A Method to Learn Embedding of a Probabilistic Medical Knowledge Graph: Algorithm Development

that it was possible to train the embedding of all entities and relations in the same space to satisfy the training objective, which was similar to the result that the link prediction performance of TransH was worse than TransE on the WN18 data set used by Wang

Linfeng Li, Peng Wang, Yao Wang, Shenghui Wang, Jun Yan, Jinpeng Jiang, Buzhou Tang, Chengliang Wang, Yuting Liu

JMIR Med Inform 2020;8(5):e17645


Application of Big Data Technology for COVID-19 Prevention and Control in China: Lessons and Recommendations

Application of Big Data Technology for COVID-19 Prevention and Control in China: Lessons and Recommendations

Wang et al [62] found deep learning provided a convenient tool for fast screening COVID-19 and finding potential high-risk patients, which may be helpful for medical resource optimization and early prevention before patients show severe COVID-19 symptoms.

Jun Wu, Jian Wang, Stephen Nicholas, Elizabeth Maitland, Qiuyan Fan

J Med Internet Res 2020;22(10):e21980