Collaborative Data Science for Healthcare

Por: edX . en: ,


Section 1 provides a general perspective about digital health data, their potential and challenges for research and use for retrospective analyses and modeling. Section 2 focuses on the Medical Information Mart for Intensive Care (MIMIC) database, curated by the Laboratory for Computational Physiology at MIT. The learners will have an opportunity to develop their analytical skills while following a research project, from the definition of a clinical question to the assessment of the analysis’ robustness. The last section is a collection of the workshops around the applications of data science in healthcare.