Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Kira Radinsky"'
Autor:
Maor Lewis, Guy Elad, Moran Beladev, Gal Maor, Kira Radinsky, Dor Hermann, Yoav Litani, Tal Geller, Jesse M. Pines, Nathan l. Shapiro, Jose F. Figueroa
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Recent health reforms have created incentives for cardiologists and accountable care organizations to participate in value-based care models for heart failure (HF). Accurate risk stratification of HF patients is critical to efficiently deplo
Externí odkaz:
https://doaj.org/article/f374a3edbdbc4699a647b014e2baa60d
Autor:
Zvi Segal, Dan Kalifa, Kira Radinsky, Bar Ehrenberg, Guy Elad, Gal Maor, Maor Lewis, Muhammad Tibi, Liat Korn, Gideon Koren
Publikováno v:
BMC Nephrology, Vol 21, Iss 1, Pp 1-10 (2020)
Abstract Background End stage renal disease (ESRD) describes the most severe stage of chronic kidney disease (CKD), when patients need dialysis or renal transplant. There is often a delay in recognizing, diagnosing, and treating the various etiologie
Externí odkaz:
https://doaj.org/article/9e5acf5b1e4d4a5ea7903b8b2f1bcb8f
Autor:
Zvi Segal, Kira Radinsky, Guy Elad, Gal Marom, Moran Beladev, Maor Lewis, Bar Ehrenberg, Plia Gillis, Liat Korn, Gideon Koren
Publikováno v:
Pharmacology Research & Perspectives, Vol 8, Iss 6, Pp n/a-n/a (2020)
Abstract Background Opioid use disorder (OUD) affects an estimated 16 million people worldwide. The diagnosis of OUD is commonly delayed or missed altogether. We aimed to test the utility of machine learning in creating a prediction model and algorit
Externí odkaz:
https://doaj.org/article/b4aa0194bde94901b253d634b92f0411
Publikováno v:
Pharmacology Research & Perspectives, Vol 7, Iss 6, Pp n/a-n/a (2019)
Abstract Despite effective medications, rates of uncontrolled glucose levels in type 2 diabetes remain high. We aimed to test the utility of machine learning applied to big data in identifying the potential role of concomitant drugs not taken for dia
Externí odkaz:
https://doaj.org/article/585b1c766010477e8812345fd6a822c9
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:12594-12600
The cost of developing new drugs is estimated at billions of dollars per year. Identification of new molecules for drugs involves scanning existing bio-medical literature for relevant information. As the potential drug molecule is novel, retrieval of
Publikováno v:
J Am Med Inform Assoc
Objective To analyze gender bias in clinical trials, to design an algorithm that mitigates the effects of biases of gender representation on natural-language (NLP) systems trained on text drawn from clinical trials, and to evaluate its performance. M
Autor:
Tomer Golany, Kira Radinsky, Natalia Kofman, Ilya Litovchik, Revital Young, Antoinette Monayer, Itamar Love, Faina Tziporin, Ido Minha, Yakir Yehuda, Tomer Ziv-Baran, Shmuel Fuchs, Sa’ar Minha
Publikováno v:
Journal of Clinical Medicine; Volume 11; Issue 22; Pages: 6767
Early detection of left ventricular systolic dysfunction (LVSD) may prompt early care and improve outcomes for asymptomatic patients. Standard 12-lead ECG may be used to predict LVSD. We aimed to compare the performance of Machine Learning Algorithms
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:134-141
Understanding the dynamics of complex biological and physiological systems has been explored for many years in the form of physically-based mathematical simulators. The behavior of a physical system is often described via ordinary differential equati
Publikováno v:
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining.