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Débute 4 June 2026 02:39
Se termine 4 June 2026
Informed Clinical Decision Making using Deep Learning
Indian Institute of Technology Guwahati
17 Cours
L'IIT Guwahati est une institution publique d'ingénierie fondée en 1994 et située en Assam. Il s'agit de l'un des instituts d'ingénierie les plus prestigieux en Inde et a été classé 1er parmi tous les IIT en termes de placements et de recherche.
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Aperçu
Embark on a groundbreaking journey to reshape clinical decision-making with the cutting-edge "Informed Clinical Decision Making using Deep Learning" specialization. Designed for programmers eager to enhance their expertise, this program delves into the transformative application of deep learning on Electronic Health Records, leading towards the development of sophisticated Clinical Decision Support Systems.
Participants will navigate through comprehensive modules, starting with the ethical considerations and practical techniques of Data Mining in Clinical Databases, including an in-depth study of the MIMIC III database and the International Classification of Disease System, alongside defining common clinical outcomes.
The specialization progresses to uncovering the potentials of deep learning in Electronic Health Records, transitioning from descriptive to predictive analytics, and setting the stage for the development of explainable deep learning models tailored for healthcare applications. The importance and methodology of crafting models that are not only technically proficient but also ethically sound, emphasizing generalization, bias minimization, ‘fairness’, clinical efficacy, and stringent privacy protocols for artificial intelligence algorithms, are thoroughly examined.
Offered by the prestigious Indian Institute of Technology Guwahati and available on Coursera, this specialization is categorized under Deep Learning Courses, Data Mining Courses, and Clinical Research Courses.
It stands as a beacon for those driven to integrate AI seamlessly into healthcare, promising a future where clinical decisions are more informed, nuanced, and technologically empowered.
Enseigné par
Fani Deligianni
