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Muhammad Mamdani
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2020 – today
- 2022
- [j6]Chloé Pou-Prom, Joshua Murray, Sebnem Kuzulugil, Muhammad Mamdani, Amol Verma:
From compute to care: Lessons learned from deploying an early warning system into clinical practice. Frontiers Digit. Health 4 (2022) - [j5]Ben Li
, Tiam Feridooni, Cesar Cuen-Ojeda, Teruko Kishibe
Machine learning in vascular surgery: a systematic review and critical appraisal. npj Digit. Medicine 5 (2022) - 2021
- [c5]Hojjat Salehinejad, Edward Ho
Deep Sequential Learning For Cervical Spine Fracture Detection On Computed Tomography Imaging. ISBI 2021: 1911-1914 - [i3]Hojjat Salehinejad, Jumpei Kitamura, Noah Ditkofsky, Amy Lin, Aditya Bharatha, Suradech Suthiphosuwan
A Real-World Demonstration of Machine Learning Generalizability: Intracranial Hemorrhage Detection on Head CT. CoRR abs/2102.04869 (2021) - [i2]Elsa Riachi, Muhammad Mamdani, Michael Fralick, Frank Rudzicz:
Challenges for Reinforcement Learning in Healthcare. CoRR abs/2103.05612 (2021) - 2020
- [c4]Bret Nestor, Liam G. McCoy, Amol Verma, Chloé Pou-Prom, Joshua Murray, Sebnem Kuzulugil, David Dai, Muhammad Mamdani, Anna Goldenberg, Marzyeh Ghassemi:
Preparing a Clinical Support Model for Silent Mode in General Internal Medicine. MLHC 2020: 950-972 - [i1]Hojjat Salehinejad, Edward Ho, Hui-Ming Lin, Priscila Crivellaro, Oleksandra Samorodova, Monica Tafur Arciniegas, Zamir Merali, Suradech Suthiphosuwan
Deep Sequential Learning for Cervical Spine Fracture Detection on Computed Tomography Imaging. CoRR abs/2010.13336 (2020)
2010 – 2019
- 2019
- [j4]Trevor Jamieson, Muhammad Mamdani, Edward E. Etchells:
Linking Quality Improvement and Health Information Technology through the QI-HIT Figure 8. Appl. Clin. Inform. 10(03): 528-533 (2019) - [c3]Serena Jeblee, Faiza Khan Khattak, Noah H. Crampton, Muhammad Mamdani, Frank Rudzicz:
Extracting relevant information from physician-patient dialogues for automated clinical note taking. LOUHI@EMNLP 2019: 65-74 - [c2]Faiza Khan Khattak, Serena Jeblee, Noah H. Crampton, Muhammad Mamdani, Frank Rudzicz:
AutoScribe: Extracting Clinically Pertinent Information from Patient-Clinician Dialogues. MedInfo 2019: 1512-1513 - 2016
- [j3]Laura Desveaux, Payal Agarwal, Jay Shaw, Jennifer M. Hensel, Geetha Mukerji, Nike Onabajo, Husayn Marani, Trevor Jamieson
A randomized wait-list control trial to evaluate the impact of a mobile application to improve self-management of individuals with type 2 diabetes: a study protocol. BMC Medical Informatics Decis. Mak. 16: 144:1-144:11 (2016) - [c1]Syed Shariyar Murtaza, Ayse Bener
An empirical investigation of the evaluators' scoring of vendors' responses to an RFP of a large healthcare system. SEHS@ICSE 2016: 33-38 - 2014
- [j2]Catherine H. Yu, Janet A. Parsons, Muhammad Mamdani, Gerald Lebovic
A web-based intervention to support self-management of patients with type 2 diabetes mellitus: effect on self-efficacy, self-care and diabetes distress. BMC Medical Informatics Decis. Mak. 14: 117 (2014) - 2012
- [j1]Catherine H. Yu, Janet Parsons, Muhammad Mamdani, Gerald Lebovic
Designing and evaluating a web-based self-management site for patients with type 2 diabetes - systematic website development and study protocol. BMC Medical Informatics Decis. Mak. 12: 57 (2012)
Coauthor Index
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