Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Daby Sow"'
Autor:
Sanjoy Dey, Prithwish Chakraborty, Bum Chul Kwon, Amit Dhurandhar, Mohamed Ghalwash, Fernando J. Suarez Saiz, Kenney Ng, Daby Sow, Kush R. Varshney, Pablo Meyer
Publikováno v:
Patterns, Vol 3, Iss 5, Pp 100493- (2022)
Summary: Rapid advances in artificial intelligence (AI) and availability of biological, medical, and healthcare data have enabled the development of a wide variety of models. Significant success has been achieved in a wide range of fields, such as ge
Externí odkaz:
https://doaj.org/article/ea48932b08a941d5a85c583bc912ac83
Publikováno v:
ACM Transactions on Information Systems. 41:1-29
For care of chronic diseases (e.g., depression, diabetes, hypertension), it is critical to identify effective treatment pathways that aim to promptly update the medication following the change of patient state and disease progression. This task is ch
Autor:
Bekir Oguzhan Turkkan, Ting Dai, Adithya Raman, Tevfik Kosar, Changyou Chen, Muhammed Fatih Bulut, Jaroslaw Zola, Daby Sow
Publikováno v:
Proceedings of the 13th ACM Multimedia Systems Conference.
Autor:
Sanjoy, Dey, Aritra, Bose, Subrata, Saha, Prithwish, Chakraborty, Mohamed, Ghalwash, Aldo, Guzm X E N-Sáenz, Filippo, Utro, Kenney, Ng, Jianying, Hu, Laxmi, Parida, Daby, Sow
Publikováno v:
AMIA Annu Symp Proc
To date, there have been 180 million confirmed cases of COVID-19, with more than 3.8 million deaths, reported to WHO worldwide. In this paper we address the problem of understanding the host genome’s influence, in concert with clinical variables, o
Autor:
Michiharu Kudo, Akira Koseki, Toshiya Iwamori, Atsushi Suzuki, Daby Sow, Prithwish Chakraborty, Mohamed Ghalwash, Ryosuke Yanagiya, Hiroki Yanagisawa, Masaki Makino, Reitaro Tokumasu
Publikováno v:
Diabetes. 70
Background: EMRs have enabled the application of machine learning (ML) to characterize disease progression. ML requires large data to produce meaningful results, thus penalizing health systems with small EMRs. Applying models pre-trained on different
Publikováno v:
AI Magazine. 40:24-27
This article contains the observations of Arvind Gupta, who has over 22 years of experience in leadership, policy, and entrepreneurial roles, in both the Silicon Valley and India. Gupta was recently interviewed about the factors that could influence
Publikováno v:
AMIA Annu Symp Proc
Many adverse drug reactions (ADRs) are caused by drug-drug interactions (DDIs), meaning they arise from concurrent use of multiple medications. Detecting DDIs using observational data has at least three major challenges: (1) The number of potential D
Autor:
Mohamed Ghalwash, Saenz Ag, Prithwish Chakraborty, Sanjoy Dey, Jianying Hu, Laxmi Parida, Daby Sow, Ng K, Aritra Bose, Ultro F
The SARS-CoV2 virus behind the COVID-19 pandemic is manifesting itself in different ways among infected people. While many are experiencing mild flue-like symptoms or are even remaining asymptomatic after infection, the virus has also led to serious
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7f7bb81bddbd1a8248b99aba43cf4fc
https://doi.org/10.1101/2021.03.15.21253549
https://doi.org/10.1101/2021.03.15.21253549
Publikováno v:
CHIL
Despite the large number of patients in Electronic Health Records (EHRs), the subset of usable data for modeling outcomes of specific phenotypes are often imbalanced and of modest size. This can be attributed to the uneven coverage of medical concept
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db59d60218fb311606e4dc1ab8481db3
http://arxiv.org/abs/2009.02188
http://arxiv.org/abs/2009.02188
Autor:
Bum Chul Kwon, Daniel M. Gruen, Kenney Ng, Sanjoy Dey, Daby Sow, Kush R. Varshney, Prithwish Chakraborty, Amit Dhurandhar
Publikováno v:
KDD
In recent years, the rapid advances in Artificial Intelligence (AI) techniques along with an ever-increasing availability of healthcare data have made many novel analyses possible. Significant successes have been observed in a wide range of tasks suc