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<strong>Welcome to the U-M Big Data Summer Institute 2021 Wiki!</strong> | <strong>Welcome to the U-M Big Data Summer Institute 2021 Wiki!</strong> | ||
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| − | + | == Electronic Health Records Group == | |
| − | + | == Machine Learning Group == | |
| − | + | == Imaging Group == | |
| − | + | == Data Mining Group == | |
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== Lectures == | == Lectures == | ||
| − | === | + | === Week 1 === |
| − | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id= | + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=efafd309-2cb9-48fc-a99e-ad3b010b9c89 Part 1] |
| − | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id= | + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=a8ee18d3-99ba-4770-9b9e-ad3c00cc4c87 Part 2] |
| + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=50d382d1-6aff-4319-93b2-ad3d00de0738 Part 3] | ||
| + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=dc895c8d-95b4-4b81-abfb-ad3d010d689a Part 4] | ||
| + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=a2424e3d-04c4-416c-be36-ad3c0135711b Part 5] | ||
| − | === | + | === Week 2 === |
| − | === | + | === Week 3 === |
| − | === | + | === Week 4 === |
| − | === | + | === Week 5 === |
| − | === | + | === Week 6 === |
| − | === | + | === Week 7 === |
| − | === | + | === Week 8 === |
== Past BDSI Student Poster Presentations == | == Past BDSI Student Poster Presentations == | ||
Revision as of 20:52, 6 June 2021
Welcome to the U-M Big Data Summer Institute 2021 Wiki!
Contents
Electronic Health Records Group
Machine Learning Group
Imaging Group
Data Mining Group
Lectures
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Past BDSI Student Poster Presentations
2019 Student Poster Presentations
2018 Student Poster Presentations
- Imaging Group Presentation
- Machine Learning Group Presentation
- Genetics Group Presentation
- Data Mining Presentation
2017 Student Poster Presentations
2017 Symposium Reference Files
2017 Symposium Projects
- A Time-to-Event Analysis of Heart Failure via Electronic Health Records
- Melanoma Detection by Classifying Skin Lesion Images
- Classifying Skin Lesions Images Using Adaptive Boosting
- Machine Learning Classification of Skin Lesion Images
- Genomics: Genome Storage and Assembly
- Predicting the Transcriptome from the Genome
- Classification of Cell Types from Peripheral Mononuclear Blood Cells
- EHR-Based Study of Long-Term Infectious Diseases
- Visualizing Lab and Phenotype Associations Using PheWAS and Electronic Health Records
- Data Mining: Microenvironment Microarray Spot Based Approach for Cell Prediction
- Estimating Cell Growth with Machine Learning and Data Mining
Additional Resources
- Daily Schedule
- Social Events Schedule TBD
