Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mira 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:
Jimmy Phuong, Patricia Ordóñez, Jerry Cao, Mira Moukheiber, Lama Moukheiber, Anat Caspi, Bonnielin K Swenor, David Kojo N Naawu, Jennifer Mankoff
Publikováno v:
PLOS Digital Health, Vol 2, Iss 12, p e0000401 (2023)
In the wake of emergent natural and anthropogenic disasters, telehealth presents opportunities to improve access to healthcare when physical access is not possible. Yet, since the beginning of the COVID pandemic, lessons learned reveal that various p
Externí odkaz:
https://doaj.org/article/3cb7cc454141438780bb8fcd10ed4ded
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:
Lama Moukheiber, William Mangione, Mira Moukheiber, Saeed Maleki, Zackary Falls, Mingchen Gao, Ram Samudrala
Publikováno v:
Molecules, Vol 27, Iss 9, p 3021 (2022)
Humans are exposed to numerous compounds daily, some of which have adverse effects on health. Computational approaches for modeling toxicological data in conjunction with machine learning algorithms have gained popularity over the last few years. Mac
Externí odkaz:
https://doaj.org/article/4e35f93a57a240c680c57caa8d25fc94
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:
Juhyuk Park, Ji Wang, Webster Guan, Lars A. Gjesteby, Dylan Pollack, Lee Kamentsky, Nicholas B. Evans, Jeff Stirman, Xinyi Gu, Chuanxi Zhao, Slayton Marx, Minyoung E. Kim, Seo Woo Choi, Michael Snyder, David Chavez, Clover Su-Arcaro, Yuxuan Tian, Chang Sin Park, Qiangge Zhang, Dae Hee Yun, Mira Moukheiber, Guoping Feng, X. William Yang, C. Dirk Keene, Patrick R. Hof, Satrajit S. Ghosh, Matthew P. Frosch, Laura J. Brattain, Kwanghun Chung
A detailed understanding of the anatomical and molecular architectures of cells and their system-wide connectivity is essential for interrogating system function and dysfunction. Extensive efforts have been made toward characterizing cells through va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dc44cfb3e134f5ae4201c720484b54e
https://doi.org/10.1101/2022.03.13.484171
https://doi.org/10.1101/2022.03.13.484171
Autor:
Rishi Kothari, Catherine Chiu, Mira Moukheiber, Matthew Jehiro, Andrew Bishara, Christine Lee, Romain Pirracchio, Leo Anthony Celi
Publikováno v:
Anaesthesia Critical Care & Pain Medicine. 41:101126
The field of machine learning is being employed more and more in medicine. However, studies have shown that the quality of published studies frequently lacks completeness and adherence to published reporting guidelines. This assessment has not been d