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Collaborative Data Science for Healthcare (Fall 2020) (M-I-T)

(73 Lectures Available)

S# Lecture Course Institute Instructor Discipline
1
  • A Data Science Revolution In Healthcare (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
2
  • A Data-Driven Future For Medicine (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
3
  • Adequate Representation and Justification of Data (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
4
  • An example in R with MIMIC-III (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
5
  • Best-Practices to Ensure Reproducibility (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
6
  • Case Study: Reproducing Studies Using MIMIC-III (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
7
  • Closing Remarks (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
8
  • Closing Summary and Next Steps for Independent Learning (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
9
  • Collaborations and Data Source Bias (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
10
  • Conclusion (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
11
  • Considerations Of Fairness (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
12
  • Control Group (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
13
  • Deep Learning: A Machine Learning Technique (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
14
  • Developing A Shared Language (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
15
  • EDA Tools (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
16
  • Evaluating Analyses (Example) (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
17
  • Exploring MIMIC-III (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
18
  • Final Thoughts (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
19
  • FINER Mnemonic (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
20
  • Frequency of Data Acquisition (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
21
  • Get To Know Your Data (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
22
  • Graphical EDA: Multivariate Case Study (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
23
  • Graphical EDA: Scatterplot Examples (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
24
  • Handling Missing Data: Weighting-Case Analysis (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences
25
  • Integrating EDA into Confirmatory Analysis (M-I-T)
Collaborative Data Science for Healthcare (Fall 2020) (M-I-T) MIT Dr. Leo Celi, Dr. Louis Agha-Mir-Salim, and Marie-Laure Charpignon Basic and Health Sciences

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