Research interest: Data mining, machine learning, biostatistics, health informatics, Health Information Systems (HIS) and decision making in health care.
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Research interest: Health informatics in transitional care and preventative care, especially health technology assessment in-home monitoring in secondary stroke prevention.
Research interest: Epidemiologist, research methodology, clinical procedures and management, health technology assessment, evaluation and outcome, population health, health systems.
Research interest: Application of natural language processing and machine learning techniques to analyze clinical notes and text-based documents in healthcare.
Research interest: AI and machine learning in public health, data science, data-driven evidence-based public health decision making and decision support, health technology assessment and economic evaluation on mobile health (mHealth) interventions.
Research interest: Application of Real World Evidence (RWE) in Oncology, immigrant health and its contributing factors (e.g., health literacy, health numeracy, language, and social and cultural factors), evidence summarization by conducting scoping reviews and systematic reviews.