Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Nazarov, Ivan"'
Autor:
Periáñez, África, del Río, Ana Fernández, Nazarov, Ivan, Jané, Enric, Hassan, Moiz, Rastogi, Aditya, Tang, Dexian
Mobile health has the potential to revolutionize health care delivery and patient engagement. In this work, we discuss how integrating Artificial Intelligence into digital health applications-focused on supply chain, patient management, and capacity
Externí odkaz:
http://arxiv.org/abs/2409.16098
Autor:
del Río, Ana Fernández, Leong, Michael Brennan, Saraiva, Paulo, Nazarov, Ivan, Rastogi, Aditya, Hassan, Moiz, Tang, Dexian, Periáñez, África
This paper introduces a reinforcement learning (RL) platform that enhances end-to-end user journeys in healthcare digital tools through personalization. We explore a case study with SwipeRx, the most popular all-in-one app for pharmacists in Southeas
Externí odkaz:
http://arxiv.org/abs/2408.08024
Autor:
del Río, Ana Fernández, Leong, Michael Brennan, Saraiva, Paulo, Nazarov, Ivan, Rastogi, Aditya, Hassan, Moiz, Tang, Dexian, Periáñez, África
Pharmacies are critical in healthcare systems, particularly in low- and middle-income countries. Procuring pharmacists with the right behavioral interventions or nudges can enhance their skills, public health awareness, and pharmacy inventory managem
Externí odkaz:
http://arxiv.org/abs/2408.07647
Autor:
Periáñez, África, Schmitz, Kathrin, Makhupula, Lazola, Hassan, Moiz, Moleko, Moeti, del Río, Ana Fernández, Nazarov, Ivan, Rastogi, Aditya, Tang, Dexian
By providing evidence-based clinical decision support, digital tools and electronic health records can revolutionize patient management, especially in resource-poor settings where fewer health workers are available and often need more training. When
Externí odkaz:
http://arxiv.org/abs/2408.07629
Autor:
Sadovnikov, Kirill S.1 (AUTHOR) k.sadovnikov@ips.ac.ru, Nazarov, Ivan V.1 (AUTHOR) vanyanaz@ya.ru, Zhigarev, Vsevolod A.1 (AUTHOR) zhigarev@ips.ac.ru, Danshina, Anastasia A.2,3 (AUTHOR) danshina.aa@phystech.edu, Makarov, Igor S.1 (AUTHOR) makarov@ips.ac.ru, Bermeshev, Maxim V.1 (AUTHOR) bmv@ips.ac.ru
Publikováno v:
Polymers (20734360). Sep2024, Vol. 16 Issue 18, p2671. 19p.
Autor:
Zhanna D. Kobalava, Tolkacheva Veronika Vladimirovna, Sarlykov Bekbolot Kanatbekovich, Rena Sh Aslanova, Lapshin Artem Alekseevich, Nazarov Ivan Sergeevich, Smirnov Ilya Pavlovich, Maria V Vatsik-Gorodetskaya, Ghazaal Alavi Tabatabaei, Ibrahim Al-Zakwani, Mohammed Al Jarallah, Georgiana Luisa Baca, Peter A Brady, Rajesh Rajan, Bhavesh Talera
Publikováno v:
Oman Medical Journal, Vol 39, Iss 3, Pp e625-e625 (2024)
Objectives:To evaluate the prognostic value (total mortality + repeated hospitalization for heart failure (HF)) of ultrasound diagnostic methods in patients with acute decompensated HF (ADHF). Methods: The subjects were patients with chronic HF, who
Externí odkaz:
https://doaj.org/article/0ecabc49729c4a0eabc6c12d7ddaea10
Autor:
Hambro, Eric, Mohanty, Sharada, Babaev, Dmitrii, Byeon, Minwoo, Chakraborty, Dipam, Grefenstette, Edward, Jiang, Minqi, Jo, Daejin, Kanervisto, Anssi, Kim, Jongmin, Kim, Sungwoong, Kirk, Robert, Kurin, Vitaly, Küttler, Heinrich, Kwon, Taehwon, Lee, Donghoon, Mella, Vegard, Nardelli, Nantas, Nazarov, Ivan, Ovsov, Nikita, Parker-Holder, Jack, Raileanu, Roberta, Ramanauskas, Karolis, Rocktäschel, Tim, Rothermel, Danielle, Samvelyan, Mikayel, Sorokin, Dmitry, Sypetkowski, Maciej, Sypetkowski, Michał
In this report, we summarize the takeaways from the first NeurIPS 2021 NetHack Challenge. Participants were tasked with developing a program or agent that can win (i.e., 'ascend' in) the popular dungeon-crawler game of NetHack by interacting with the
Externí odkaz:
http://arxiv.org/abs/2203.11889
Autor:
Ponomarchuk, Alexander, Burenko, Ilya, Malkin, Elian, Nazarov, Ivan, Kokh, Vladimir, Avetisian, Manvel, Zhukov, Leonid
The COVID-19 pandemic created a significant interest and demand for infection detection and monitoring solutions. In this paper we propose a machine learning method to quickly triage COVID-19 using recordings made on consumer devices. The approach co
Externí odkaz:
http://arxiv.org/abs/2107.10716
This research article suggests that there are significant benefits in exposing demand planners to forecasting methods using matrix completion techniques. This study aims to contribute to a better understanding of the field of forecasting with multiva
Externí odkaz:
http://arxiv.org/abs/2009.04359
Autor:
Rivera-Castro, Rodrigo, Pletnev, Aleksandr, Pilyugina, Polina, Diaz, Grecia, Nazarov, Ivan, Zhu, Wanyi, Burnaev, Evgeny
Publikováno v:
2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA)
Topological Data Analysis (TDA) is a recent approach to analyze data sets from the perspective of their topological structure. Its use for time series data has been limited. In this work, a system developed for a leading provider of cloud computing c
Externí odkaz:
http://arxiv.org/abs/2009.03661