Opinion
Published on 31 Mar 2023
Artificial intelligence in adolescents mental health disorder diagnosis, prognosis, and treatment
in Digital Public Health
Frontiers in Public Health
doi 10.3389/fpubh.2023.1110088
- 9,310 views
- 5 citations
Type at least 3 characters
1,075 articles
Articles
Original Research
Published on 30 Mar 2023
Impacts of electronic device use on adolescents' sexual knowledge, attitude and perception during the COVID-19 pandemic: A representative sexuality survey
in Digital Public Health
Frontiers in Public Health
doi 10.3389/fpubh.2023.1034155
- 3,438 views
- 5 citations
Original Research
Published on 30 Mar 2023
Are the epidemic prevention facilities effective? How cities should choose epidemic prevention facilities: Taking Wuhan as an example
in Digital Public Health
Frontiers in Public Health
doi 10.3389/fpubh.2023.1125301
- 1,500 views
- 5 citations
Mini Review
Published on 29 Mar 2023
Transformation of chronic disease management: Before and after the COVID-19 outbreak
in Digital Public Health
Frontiers in Public Health
doi 10.3389/fpubh.2023.1074364
- 8,515 views
- 6 citations
Original Research
Published on 28 Mar 2023
System Integrated Digital Empowering and teleRehabilitation to promote patient Activation and well-Being in chronic disabilities: A usability and acceptability study
in Digital Public Health
Frontiers in Public Health
doi 10.3389/fpubh.2023.1154481
- 3,272 views
- 11 citations
Original Research
Published on 27 Mar 2023
Whole Health coaching to rural Veterans through telehealth: Advantages, gaps, and opportunities
in Digital Public Health
Frontiers in Public Health
doi 10.3389/fpubh.2023.1057586
- 3,435 views
- 4 citations
Original Research
Published on 24 Mar 2023
Evidence of internal structure of the transactional eHealth literacy among Vietnamese youth: An instrument validation study
in Digital Public Health
Frontiers in Public Health
doi 10.3389/fpubh.2023.1036877
- 3,166 views
Original Research
Published on 24 Mar 2023
Using machine learning to predict lymph node metastasis in patients with renal cell carcinoma: A population-based study
in Digital Public Health
Frontiers in Public Health
doi 10.3389/fpubh.2023.1104931
- 3,060 views
- 4 citations
Brief Research Report
Published on 23 Mar 2023
Digital cities and the spread of COVID-19: Characterizing the impact of non-pharmaceutical interventions in five cities in Spain
in Digital Public Health
Frontiers in Public Health
doi 10.3389/fpubh.2023.1122230
- 3,576 views
- 4 citations
Original Research
Published on 23 Mar 2023
An overview and trend analysis of research on the relationship between urban streets and residents' health in China pre- and post COVID-19 pandemic
in Digital Public Health
Frontiers in Public Health
doi 10.3389/fpubh.2023.1126656
- 2,198 views
- 1 citation
Systematic Review
Published on 23 Mar 2023
A systematic review: Virtual-reality-based techniques for human exercises and health improvement
in Digital Public Health
Frontiers in Public Health
doi 10.3389/fpubh.2023.1143947
- 15,078 views
- 22 citations
Perspective
Published on 23 Mar 2023
Ethical principles for infodemiology and infoveillance studies concerning infodemic management on social media
in Digital Public Health
Frontiers in Public Health
doi 10.3389/fpubh.2023.1130079
- 2,583 views
- 8 citations
Original Research
Published on 21 Mar 2023
The impact of users' trust on intention to use the mobile medical platform: Evidence from China
in Digital Public Health
Frontiers in Public Health
doi 10.3389/fpubh.2023.1076367
- 2,942 views
- 3 citations
Original Research
Published on 21 Mar 2023
Association between PT, PT-INR, and in-hospital mortality in critically ill patients with tumors: A retrospective cohort study
in Digital Public Health
Frontiers in Public Health
doi 10.3389/fpubh.2023.1036463
- 3,199 views
Editorial
Published on 21 Mar 2023
Editorial: Assessing and addressing health inequities and disparities: The role of health informatics
in Digital Public Health
Frontiers in Public Health
doi 10.3389/fpubh.2023.1161892
- 2,265 views
- 2 citations
Original Research
Published on 20 Mar 2023
Machine learning models based on clinical indices and cardiotocographic features for discriminating asphyxia fetuses—Porto retrospective intrapartum study
in Digital Public Health
Frontiers in Public Health
doi 10.3389/fpubh.2023.1099263
- 2,285 views
- 4 citations