Informed Clinical Decision Making using Deep Learning Specialization
With an emphasis on ethics, explainability, and privacy, this specialization gives students the tools they need to apply deep learning in clinical decision support systems and electronic health records.
machine learning,deep learning,processing electronic health records,clinical decision support systems,explainable machine learning,generative ai
Description for Informed Clinical Decision Making using Deep Learning Specialization
Data Mining in Clinical Databases: It focuses on the ethical considerations and methodologies of data mining in clinical databases, utilizing resources such as the MIMIC III database and the International Classification of Diseases System to identify prevalent clinical outcomes.
Deep Learning in EHR: Directs on the utilization of deep learning within Electronic Health Records, shifting from descriptive analytics to predictive analytics.
Explainable Deep Learning Models: Discusses the significance and requirement of explainable AI models in healthcare, fostering transparency and trust in the predictions generated by deep learning algorithms.
Clinical Decision Support Systems: Investigates the design and difficulties of Clinical Decision Support Systems, encompassing concerns such as bias, fairness, clinical utility, and privacy in AI-driven healthcare solutions.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by University of GlasgowDuration: 2 months at 10 hours a week (approximately)
Schedule: Project-based
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