Mjaye Mazwi

15 papers A* 1C 1Journal 5Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Noise is an underrecognized problem in medical decision making and is known by other names: a scoping review.
BMC Medical Informatics Decis. Mak.
Kayla V. Dlugos, Mjaye Mazwi, Robert Lao, Osami Honjo
2023 J jnl
Making machine learning matter to clinicians: model actionability in medical decision-making.
npj Digit. Medicine
Daniel Ehrmann, Shalmali Joshi, Sebastian D. Goodfellow, Mjaye Mazwi, Danny Eytan
2023 — conf
RiskFix: Supporting Expert Validation of Predictive Timeseries Models in High-Intensity Settings.
EuroVis (Short Papers)
Gabriela Morgenshtern, Arnav Verma, Sana Tonekaboni, Robert Greer, Jürgen Bernard, Mjaye Mazwi, Anna Goldenberg, Fanny Chevalier
2023 — conf
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.
FAccT
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
2023 J jnl
iCVS - Inferring Cardio-Vascular hidden States from physiological signals available at the bedside.
PLoS Comput. Biol.
Neta Ravid Tannenbaum, Omer Gottesman, Azadeh Assadi, Mjaye Mazwi, Uri Shalit, Danny Eytan
2022 A* conf
Get To The Point! Problem-Based Curated Data Views To Augment Care For Critically Ill Patients.
CHI
Minfan Zhang, Daniel Ehrmann, Mjaye Mazwi, Danny Eytan, Marzyeh Ghassemi, Fanny Chevalier
2022 — conf
How to validate Machine Learning Models Prior to Deployment: Silent trial protocol for evaluation of real-time models at ICU.
CHIL
Sana Tonekaboni, Gabriela Morgenshtern, Azadeh Assadi, Aslesha Pokhrel, Xi Huang, Anand Jayarajan, Robert Greer, Gennady Pekhimenko, Melissa D. McCradden, Mjaye Mazwi, Anna Goldenberg
2022 — conf
Learning Unsupervised Representations for ICU Timeseries.
CHIL
Addison Weatherhead, Robert Greer, Michael-Alice Moga, Mjaye Mazwi, Danny Eytan, Anna Goldenberg, Sana Tonekaboni
2022 J jnl
Timing errors and temporal uncertainty in clinical databases - A narrative review.
Frontiers Digit. Health
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
2020 J jnl
Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning.
J. Am. Medical Informatics Assoc.
Melissa D. McCradden, Shalmali Joshi, James A. Anderson, Mjaye Mazwi, Anna Goldenberg, Randi Zlotnik Shaul
2020 — conf
Rhythm Classification of 12-Lead ECGs Using Deep Neural Networks and Class-Activation Maps for Improved Explainability.
CinC
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
2020 C conf
When Your Only Tool Is A Hammer: Ethical Limitations of Algorithmic Fairness Solutions in Healthcare Machine Learning.
AIES
Melissa D. McCradden, Mjaye Mazwi, Shalmali Joshi, James A. Anderson
2018 — conf
Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU.
MLHC
Sana Tonekaboni, Mjaye Mazwi, Peter Laussen, Danny Eytan, Robert Greer, Sebastian D. Goodfellow, Andrew J. Goodwin, Michael Brudno, Anna Goldenberg
2018 — conf
Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention Mappings.
MLHC
Sebastian D. Goodfellow, Andrew J. Goodwin, Robert Greer, Peter C. Laussen, Mjaye Mazwi, Danny Eytan
2017 — conf
Classification of Atrial Fibrillation Using Multidisciplinary Features and Gradient Boosting.
CinC
Andrew J. Goodwin, Sebastian Goodfellow, Danny Eytan, Robert Greer, Mjaye Mazwi, Peter Laussen