Melissa D. McCradden
Melissa D. McCradden publishes mostly in Health Informatics, Artificial Intelligence and Public Health, Environmental and Occupational Health, on topics such as Artificial Intelligence in Healthcare and Education, Ethics in Clinical Research and Machine Learning in Healthcare.
- World rank
- #64,480 of 7,710,434 ranked researchers
- Rank in Canada
- #1,870 of 183,316
- Works
- 115
- Citations
- 12k
- Citations per work
- 107.1
What does Melissa D. McCradden research?
Melissa D. McCradden's work is mostly in Medicine (40%), Computer Science (11%), Health Professions (7%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Health Sciences5447.0%
- Medicine4640.1%
- Health Professions86.9%
- Everything else4842.0%
- Physical Sciences1311.0%
- Computer Science1311.0%
- 1Health Informatics23% of their works
- 2Artificial Intelligence11% of their works
- 3Public Health, Environmental and Occupational Health10% of their works
- 4General Health Professions7% of their works
- 5Epidemiology4% of their works
- 6Radiology, Nuclear Medicine and Imaging4% of their works
Research topics
- Artificial Intelligence in Healthcare and Education
- Ethics in Clinical Research
- Machine Learning in Healthcare
- Explainable Artificial Intelligence (XAI)
- Healthcare cost, quality, practices
- Health Systems, Economic Evaluations, Quality of Life
- Ethics and Social Impacts of AI
- Meta-analysis and systematic reviews
Which keywords describe Melissa D. McCradden's research?
The keywords of their largest research topics: Healthcare, Precision Medicine, Artificial Intelligence, Machine Learning, Clinical Decision Support, Medical Imaging, Clinical Trials and Informed Consent.
- PRISMA Statement
- Quality of Life
- Fairness
- Cost-effectiveness Analysis
- Machine Learning Interpretability
- Electronic Health Records
- Informed Consent
- Medical Imaging
- Machine Learning
- Precision Medicine
- Healthcare
- Artificial Intelligence
- Clinical Decision Support
- Clinical Trials
- Deep Learning
- Interpretable Models
- Choosing Wisely
- Ethics
- Low-Value Care
- Meta-Analysis
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 20 words, with their numbers
- Healthcare902 topics
- Precision Medicine902 topics
- Artificial Intelligence832 topics
- Machine Learning832 topics
- Clinical Decision Support741 topic
- Medical Imaging741 topic
- Clinical Trials261 topic
- Informed Consent261 topic
- Deep Learning161 topic
- Electronic Health Records161 topic
- Interpretable Models141 topic
- Machine Learning Interpretability141 topic
- Choosing Wisely91 topic
- Cost-effectiveness Analysis91 topic
- Ethics91 topic
- Fairness91 topic
- Low-Value Care91 topic
- Quality of Life91 topic
- Meta-Analysis81 topic
- PRISMA Statement81 topic
Where does Melissa D. McCradden work?
Melissa D. McCradden's main affiliation in the publication record is Hospital for Sick Children, Canada.
How many publications and citations does Melissa D. McCradden have?
OpenAlex counts 115 works and 12,312 citations for Melissa D. McCradden, an h-index of 33, ranking #64,480 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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