Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Dana Moukheiber"'
Autor:
Dana Moukheiber, David Restrepo, Sebastián Andrés Cajas, María Patricia Arbeláez Montoya, Leo Anthony Celi, Kuan-Ting Kuo, Diego M. López, Lama Moukheiber, Mira Moukheiber, Sulaiman Moukheiber, Juan Sebastian Osorio-Valencia, Saptarshi Purkayastha, Atika Rahman Paddo, Chenwei Wu, Po-Chih Kuo
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-20 (2024)
Abstract In low- and middle-income countries, the substantial costs associated with traditional data collection pose an obstacle to facilitating decision-making in the field of public health. Satellite imagery offers a potential solution, but the ima
Externí odkaz:
https://doaj.org/article/df18e83f0bd7480d9afbb2d2f2e5c4ac
Autor:
Casey Holmes Fee, Rachel Scarlett Hicklen, Sidney Jean, Nebal Abu Hussein, Lama Moukheiber, Michelle Foronda de Lota, Mira Moukheiber, Dana Moukheiber, Leo Anthony Celi, Irene Dankwa-Mullan
Publikováno v:
PLOS Digital Health, Vol 2, Iss 10, p e0000314 (2023)
Healthcare has long struggled to improve services through technology without further widening health disparities. With the significant expansion of digital health, a group of healthcare professionals and scholars from across the globe are proposing t
Externí odkaz:
https://doaj.org/article/a9a8ec28b1e64452b1fc94e381b972e6
Autor:
Lama H. Nazer, Razan Zatarah, Shai Waldrip, Janny Xue Chen Ke, Mira Moukheiber, Ashish K. Khanna, Rachel S. Hicklen, Lama Moukheiber, Dana Moukheiber, Haobo Ma, Piyush Mathur
Publikováno v:
PLOS Digital Health, Vol 2, Iss 6 (2023)
The adoption of artificial intelligence (AI) algorithms is rapidly increasing in healthcare. Such algorithms may be shaped by various factors such as social determinants of health that can influence health outcomes. While AI algorithms have been prop
Externí odkaz:
https://doaj.org/article/643164992eb740a8a69a98b9bd78807b
Autor:
Matthew G Crowson, Dana Moukheiber, Aldo Robles Arévalo, Barbara D Lam, Sreekar Mantena, Aakanksha Rana, Deborah Goss, David W Bates, Leo Anthony Celi
Publikováno v:
PLOS Digital Health, Vol 1, Iss 5, p e0000033 (2022)
ObjectivesFederated learning (FL) allows multiple institutions to collaboratively develop a machine learning algorithm without sharing their data. Organizations instead share model parameters only, allowing them to benefit from a model built with a l
Externí odkaz:
https://doaj.org/article/9cc53973d57d42cfbacfb950eca7b171
Autor:
Christopher V. Cosgriff, Marie Charpignon, Dana Moukheiber, Mary E. Lough, Judy Gichoya, David J. Stone, Leo Anthony Celi
Publikováno v:
iScience, Vol 24, Iss 6, Pp 102656- (2021)
Externí odkaz:
https://doaj.org/article/c33af8600555438ca7c9def3baee3ddb
Autor:
Isabelle Rose I Alberto, Nicole Rose I Alberto, Arnab K Ghosh, Bhav Jain, Shruti Jayakumar, Nicole Martinez-Martin, Ned McCague, Dana Moukheiber, Lama Moukheiber, Mira Moukheiber, Sulaiman Moukheiber, Antonio Yaghy, Andrew Zhang, Leo Anthony Celi
Publikováno v:
The Lancet Digital Health. 5:e288-e294
Autor:
Kerollos Nashat Wanis, Arin L. Madenci, Sicheng Hao, Mira Moukheiber, Lama Moukheiber, Dana Moukheiber, Sulaiman Moukheiber, Jessica G. Young, Leo Anthony Celi
Publikováno v:
Chest.
Autor:
Dana Moukheiber, Saurabh Mahindre, Lama Moukheiber, Mira Moukheiber, Song Wang, Chunwei Ma, George Shih, Yifan Peng, Mingchen Gao
Publikováno v:
Data Augment Label Imperfections (2022)
Lecture Notes in Computer Science ISBN: 9783031170263
Lecture Notes in Computer Science ISBN: 9783031170263
This paper aims to identify uncommon cardiothoracic diseases and patterns on chest X-ray images. Training a machine learning model to classify rare diseases with multi-label indications is challenging without sufficient labeled training samples. Our
Autor:
Eric Lehman, Vladislav Lialin, Katelyn Edelwina Legaspi, Anne Janelle Sy, Patricia Therese Pile, Nicole Rose Alberto, Richard Raymund Ragasa, Corinna Victoria Puyat, Marianne Katharina Taliño, Isabelle Rose Alberto, Pia Gabrielle Alfonso, Dana Moukheiber, Byron Wallace, Anna Rumshisky, Jennifer Liang, Preethi Raghavan, Leo Anthony Celi, Peter Szolovits
Publikováno v:
Proceedings of the 4th Clinical Natural Language Processing Workshop.
Autor:
Darin T Rosen, Leo Anthony Celi, Saurabh Amarnath Mahindre, Daniel A Hashimoto, Chuong D. Hoang, Jacques Kpodonu, Dana Moukheiber, Kenneth P Seastedt, Chaitanya Thammineni, Ammara A. Watkins
Publikováno v:
Eur J Cardiothorac Surg
OBJECTIVES Machine learning (ML) has great potential, but there are few examples of its implementation improving outcomes. The thoracic surgeon must be aware of pertinent ML literature and how to evaluate this field for the safe translation to patien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::672e0d51961428816d81ee491c11ac2c
https://europepmc.org/articles/PMC8932394/
https://europepmc.org/articles/PMC8932394/