In the below schedule, blue PDF icons () represent required readings for the week, whereas yellow icons () represent optional readings. Highlighted cells indicate that a course deliverable is due on that date.
Lecture slides can be found linked below; lecture recordings can be found on Quercus.
| Week 1: Introduction | ||||
| 09/10/2021 (Friday) | Lecture: Introduction and Course Details (Rahul Krishnan) | |||
| Week 2: Supervised Learning and Survival Analysis | ||||
| 09/13/2021 (Monday) | Lecture: Supervised Learning in Healthcare I (Rahul Krishnan) | |||
| 09/15/2021 (Wednesday) | Lecture: Supervised Learning in Healthcare II (Rahul Krishnan) | |||
| 09/17/2021 (Friday) | Project Planning Session I | |||
| Week 3: Time Series Modeling | ||||
| 09/20/2021 (Monday) | Lecture: Time Series Modeling in Healthcare I (Rahul Krishnan) | |||
| 09/22/2021 (Wednesday) | Lecture: Time Series Modeling in Healthcare II (Rahul Krishnan) | |||
| 09/24/2021 (Friday) | Project Planning Session II | |||
| Week 4: Disease Progression | ||||
| 09/27/2021 (Monday) | Guest Lecture: Discovery of Parkinson’s Disease States Using Machine Learning and Longitudinal Data (Kristen Severson) | |||
| 09/29/2021 (Wednesday) | Lecture: Disease Progression Modeling (Rahul Krishnan) | |||
| 10/01/2021 (Friday) | Student Paper Presentation: A Targeted Real-Time Early Warning Score (TREWScore) for Septic Shock (Shihao Ma, Shreyansh Banthia) Student Paper Presentation: Population-Level Prediction of Type 2 Diabetes From Claims Data and Analysis of Risk Factors (Korbinian Koch) Project Proposal Assignment Due | |||
| Week 5: Clinical Natural Language Processing | ||||
| 10/04/2021 (Monday) | Lecture: Clinical Natural Language Processing (Rahul Krishnan) | |||
| 10/06/2021 (Wednesday) | Student Paper Presentation: Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery (Cait Harrigan) Student Paper Presentation: Disease-Atlas: Navigating Disease Trajectories using Deep Learning (Yang Qu, Qingyang Yu) | |||
| 10/08/2021 (Friday) | Guest Lecture: Clinical Natural Language Processing (Monica Agrawal) | |||
| Week 6: Medical Imaging | ||||
| 10/11/2021 (Monday) | Thanksgiving: No Class | |||
| 10/13/2021 (Wednesday) | Lecture: Medical Imaging (Rahul Krishnan) | |||
| 10/15/2021 (Friday) | Guest Lecture: Multimodal Representation Learning for Medical Image Analysis (Ruizhi Liao) | |||
| Week 7: Self Supervised Learning and Deployment | ||||
| 10/18/2021 (Monday) | Lecture: Self-Supervised Learning (Rahul Krishnan) | |||
| 10/20/2021 (Wednesday) | Lecture: Deployment of Clinical ML Systems (Michael Fralick) | |||
| 10/22/2021 (Friday) | Student Paper Presentation: Uncovering the Heterogeneity and Temporal Complexity of Neurodegenerative Diseases with Subtype and Stage Inference (Beiqin Zeng, Zhongkang Guo) Student Paper Presentation: Machine Learning for Comprehensive Forecasting of Alzheimer’s Disease Progression (Weiming Ren, Tianshu Zhu) | |||
| Week 8: Fairness | ||||
| 10/25/2021 (Monday) | Guest Lecture: Machine Learning for Equitable Healthcare (Irene Chen) | |||
| 10/27/2021 (Wednesday) | Student Paper Presentation: Attention Is All You Need (Ruijing Zeng, Tongzi Wu) Student Paper Presentation: BioBERT: A Pre-Trained Biomedical Language Representation Model for Biomedical Text Mining (Zixuan Pan, Zitong Li) | |||
| 10/29/2021 (Friday) | Student Paper Presentation: Fully Automated Echocardiogram Interpretation in Clinical Practice (Shujun Yan, Dianna Kan) Student Paper Presentation: U-Net: Convolutional Networks for Biomedical Image Segmentation (Fateme Haghpanah, Vasudev Sharma) Paper Summary Assignment Due | |||
| Week 9: Clinical Trials | ||||
| 11/01/2021 (Monday) | Lecture: Clinical Trials (Rahul Krishnan) | |||
| 11/03/2021 (Wednesday) | Student Paper Presentation: Datasheets for Datasets (Pritish Mishra) Student Paper Presentation: Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission (Nikhil Verma, Deepkamal Gill) | |||
| 11/05/2021 (Friday) | Student Paper Presentation: Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations (Santosh Kolagati, Omkar Dige) Student Paper Presentation: Why Is My Classifier Discriminatory? (Filip Miscevic, Caroline Malin-Mayor) | |||
| Week 10: Reading Week (No Classes) | ||||
| Week 11: Causality and Missingness | ||||
| 11/15/2021 (Monday) | Lecture: Causality and Missingness (Rahul Krishnan) | |||
| 11/17/2021 (Wednesday) | Student Paper Presentation: Optimizing Medical Treatment for Sepsis in Intensive Care (Weiqing Wang, Cong Wei) Student Paper Presentation: The Role of Machine Learning in Clinical Research: Transforming the Future of Evidence Generation (Yuxiao Sun, Yuyi Ding) | |||
| 11/19/2021 (Friday) | Student Paper Presentation: Recurrent Neural Networks for Multivariate Time Series with Missing Values (Aslesha Pokhrel, Sujay Nagaraj) Student Paper Presentation: Estimating Individual Treatment Effect: Generalization Bounds and Algorithms (Vahid Balazadeh, Tom Ginsberg) | |||
| Week 12: Student Presentations | ||||
| 11/22/2021 (Monday) | Lecture: Causality and Missingness II (Rahul Krishnan) | |||
| 11/24/2021 (Wednesday) | Lecture: Case Studies in Machine Learning for Healthcare (Rahul Krishnan) | |||
| 11/26/2021 (Friday) | Guest Lecture: Interpreting Model Predictions (Nikhil Verma) | |||
| Week 13: Student Presentations | ||||
| 11/29/2021 (Monday) | Student Project Presentation: Fledge: Edge-based Federated Learning Framework for Mobile Healthcare (Pritish Mishra) Student Project Presentation: TabSurv: An Interpretable Deep Learning Survival Analysis for Tabular Data (Shihao Ma, Weiqing Wang, Cong Wei) | |||
| 12/01/2021 (Wednesday) | Student Project Presentation: Time Series Analysis of Biomarkers For Multiple Myeloma (Dianna Kan, Yang Qu, Qingyang Yu, Shujun Yan) Student Project Presentation: A Multimodal Approach to Autism Spectrum Disorder Subtyping (Yuyi Ding, Yuxiao Sun, Shreyansh Banthia, Santosh Kolagati) | |||
| 12/03/2021 (Friday) | Student Project Presentation: TAGS: Time-Adaptive Global State Modeling of Hierarchically Clustered Time Series Data (Aslesha Pokhrel, Sujay Nagaraj, Cait Harrigan) Student Project Presentation: Transfer Learning for ECG Classification Using PTB-XL (Nikhil Verma, Omkar Dige, Deepkamal Gill) | |||
| Week 14: Student Presentations | ||||
| 12/06/2021 (Monday) | Student Project Presentation: Assessing COVID-19 Status from Crowdsourced Cough Recordings (Zitong Li, Caroline Malin-Mayor, Filip Miscevic, Zixuan Pan) Student Project Presentation: Exploration of how MRI Acquisition Parameter Leads to Acquisition Shift (Fateme Haghpanah, Beiqin Zeng, Zhongkang Guo) | |||
| 12/08/2021 (Wednesday) | Student Project Presentation: DisCeRn: Disease-Contrastive Representations from Multi-Modal Medical Data (Vahid Balazadeh, Tom Ginsberg, Korbinian Koch, Vasudev Sharma) Student Project Presentation: Towards Transformer-Based Automated ICD Coding: Challenges, Pitfalls and Solutions (Ruijing Zeng, Tongzi Wu, Weiming Ren, Tianshu Zhu) | |||