Classification of Atrial Fibrillation Using Multidisciplinary Features and Gradient Boosting. - Andrew J. Goodwin; Sebastian Goodfellow; Danny Eytan; Robert Greer; Mjaye Mazwi; Peter Laussen (CinC, 2017)

Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention Mappings. - Sebastian D. Goodfellow; Andrew J. Goodwin; Robert Greer; Peter C. Laussen; Mjaye Mazwi; Danny Eytan (MLHC, 2018)

Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU. - Sana Tonekaboni; Mjaye Mazwi; Peter Laussen; Danny Eytan; Robert Greer; Sebastian D. Goodfellow; Andrew J. Goodwin; Michael Brudno; Anna Goldenberg (MLHC, 2018)

When Your Only Tool Is A Hammer: Ethical Limitations of Algorithmic Fairness Solutions in Healthcare Machine Learning. - Melissa D. McCradden; Mjaye Mazwi; Shalmali Joshi; James A. Anderson (AIES, 2020)

Rhythm Classification of 12-Lead ECGs Using Deep Neural Networks and Class-Activation Maps for Improved Explainability. - Sebastian D. Goodfellow; Dmitrii Shubin; Robert W. Greer; Sujay Nagaraj; Carson McLean; Will Dixon; Andrew J. Goodwin; Azadeh Assadi; Anusha Jegatheeswaran; Peter C. Laussen; Mjaye Mazwi; Danny Eytan (CinC, 2020)

Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning. - Melissa D. McCradden; Shalmali Joshi; James A. Anderson; Mjaye Mazwi; Anna Goldenberg; Randi Zlotnik Shaul (J. Am. Medical Informatics Assoc., 2020)

Get To The Point! Problem-Based Curated Data Views To Augment Care For Critically Ill Patients. - Minfan Zhang; Daniel Ehrmann; Mjaye Mazwi; Danny Eytan; Marzyeh Ghassemi; Fanny Chevalier (CHI, 2022)

How to validate Machine Learning Models Prior to Deployment: Silent trial protocol for evaluation of real-time models at ICU. - Sana Tonekaboni; Gabriela Morgenshtern; Azadeh Assadi; Aslesha Pokhrel; Xi Huang; Anand Jayarajan; Robert Greer; Gennady Pekhimenko; Melissa D. McCradden; Mjaye Mazwi; Anna Goldenberg (CHIL, 2022)

Learning Unsupervised Representations for ICU Timeseries. - Addison Weatherhead; Robert Greer; Michael-Alice Moga; Mjaye Mazwi; Danny Eytan; Anna Goldenberg; Sana Tonekaboni (CHIL, 2022)

An integration engineering framework for machine learning in healthcare. - Azadeh Assadi; Peter C. Laussen; Andrew J. Goodwin; Sebastian Goodfellow; Will Dixon; Robert W. Greer; Anusha Jegatheeswaran; Devin Singh; Melissa D. McCradden; Sara N. Gallant; Anna Goldenberg; Danny Eytan; et al. (Frontiers Digit. Health, 2022)

Timing errors and temporal uncertainty in clinical databases - A narrative review. - Andrew J. Goodwin; Danny Eytan; Will Dixon; Sebastian D. Goodfellow; Zakary Doherty; Robert W. Greer; Alistair Lee McEwan; Mark B. Tracy; Peter C. Laussen; Azadeh Assadi; Mjaye Mazwi (Frontiers Digit. Health, 2022)

What's fair is... fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning: JustEFAB. - Melissa D. McCradden; Oluwadara Odusi; Shalmali Joshi; Ismail Akrout; Kagiso Ndlovu; Ben Glocker; Gabriel Maicas; Xiaoxuan Liu; Mjaye Mazwi; Tee Garnett; Lauren Oakden-Rayner; Myrtede Alfred; et al. (FAccT, 2023)

RiskFix: Supporting Expert Validation of Predictive Timeseries Models in High-Intensity Settings. - Gabriela Morgenshtern; Arnav Verma; Sana Tonekaboni; Robert Greer; Jürgen Bernard; Mjaye Mazwi; Anna Goldenberg; Fanny Chevalier (EuroVis (Short Papers), 2023)

Making machine learning matter to clinicians: model actionability in medical decision-making. - Daniel Ehrmann; Shalmali Joshi; Sebastian D. Goodfellow; Mjaye Mazwi; Danny Eytan (npj Digit. Medicine, 2023)

iCVS - Inferring Cardio-Vascular hidden States from physiological signals available at the bedside. - Neta Ravid Tannenbaum; Omer Gottesman; Azadeh Assadi; Mjaye Mazwi; Uri Shalit; Danny Eytan (PLoS Comput. Biol., 2023)

Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Waveform Data. - Sujay Nagaraj; Andrew J. Goodwin; Dmytro Lopushanskyy; Danny Eytan; Robert W. Greer; Sebastian D. Goodfellow; Azadeh Assadi; Anand Jayarajan; Anna Goldenberg; Mjaye L. Mazwi (CoRR, 2024)

Can an accurate model be bad? - Melissa D. McCradden; Mjaye L. Mazwi; Lauren Oakden-Rayner (Patterns, 2025)

Noise is an underrecognized problem in medical decision making and is known by other names: a scoping review. - Kayla V. Dlugos; Mjaye Mazwi; Robert Lao; Osami Honjo (BMC Medical Informatics Decis. Mak., 2025)