Big data for biomedical education with a focus on the covid-19 era: An integrative review of the literature

Keyphrases

• Big Data 100%
• Post-COVID-19 Era 100%
• Biomedical Education 100%
• Integrative Review 100%
• Medical Students 22%
• Medical Professionals 11%
• Academic Performance 11%
• Syllabus 11%
• Ethics 5%
• Medical School 5%
• Germany 5%
• Italy 5%
• Canada 5%
• North America 5%
• Europe 5%
• France 5%
• Computational Tools 5%
• COVID-19 Pandemic 5%
• Clinical Practice 5%
• Software Development 5%
• Medical Practice 5%
• European Countries 5%
• Large Database 5%
• Information Communication Technology 5%
• Learning Environment 5%
• Dropout 5%
• Biomedicine 5%
• China 5%
• Metabolomics 5%
• Analytical Data 5%
• Medical Research 5%
• Medical Practitioners 5%
• New Information Technologies 5%
• Plagiarism 5%
• Interactome 5%
• Translational Medicine 5%
• New Communication Technologies 5%
• Visual Data 5%
• Medical Curriculum 5%
• Continuing Medical Education 5%
• Postgenomics 5%
• Bioethical Issues 5%
• Medical School Curriculum 5%
• Medical Academics 5%
• Super-specialty 5%
• Medical Learning 5%
• Technical Paper 5%
• Medical Career 5%
• Practice of Medicine 5%
• Data Analytical 5%
• Computational Proteomics 5%
• Data Augment 5%
• Web-based Learning Environment 5%

Social Sciences

• Integrative Review 100%
• COVID-19 100%
• Big Data 100%
• Education 100%
• Medical Student 22%
• Medical Education 16%
• Genetics 11%
• Curriculum 11%
• Educational Environment 11%
• Academic Performance 11%
• Medical Science 11%
• USA 5%
• Occupational Career 5%
• Literature Reviews 5%
• Bibliology 5%
• Medical Practice 5%
• Information and Communication Technologies 5%
• Electronic Learning 5%
• Plagiarism 5%
• Medical Research 5%
• Dropouts 5%
• Data Mining 5%
• Europe 5%
• France 5%
• North America 5%
• Italy 5%
• Canada 5%
• Digitalization 5%
• Biomedicine 5%
• Germany 5%
• China 5%