Mjaye Mazwi

According to our database, Mjaye Mazwi authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

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

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, Irvine Sihlahla, Oswa Shafei, Anna Goldenberg

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

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

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, Mjaye L. Mazwi

Frontiers Digit. Health, 2022

Learning Unsupervised Representations for ICU Timeseries.

Addison Weatherhead, Robert Greer, Michael-Alice Moga, Mjaye Mazwi, Danny Eytan, Anna Goldenberg, Sana Tonekaboni

Proceedings of the Conference on Health, Inference, and Learning, 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

Proceedings of the Conference on Health, Inference, and Learning, 2022

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

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

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

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

Proceedings of the Computing in Cardiology, 2020

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

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

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

Proceedings of the Machine Learning for Healthcare Conference, 2018

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

Proceedings of the Machine Learning for Healthcare Conference, 2018

2017

Classification of Atrial Fibrillation Using Multidisciplinary Features and Gradient Boosting.

Andrew J. Goodwin, Sebastian Goodfellow, Danny Eytan, Robert Greer, Mjaye Mazwi, Peter Laussen

Proceedings of the Computing in Cardiology, 2017