Zobrazeno 1 - 10
of 36 707
pro vyhledávání: '"Devendra A"'
Autor:
Sushant Govindan, MD, MSc, Alexandra Spicer, MS, Matthew Bearce, MPS, Richard S. Schaefer, PharmD, Andrea Uhl, BA, Gil Alterovitz, PhD, Michael J. Kim, MD, Kyle A. Carey, MPH, Nirav S. Shah, MD, MPH, Christopher Winslow, MD, Emily Gilbert, MD, Anne Stey, MD, MSc, Alan M. Weiss, MD, Devendra Amin, MD, George Karway, PhD, Jennie Martin, MS, Dana P. Edelson, MD, Matthew M. Churpek, MD, MPH, PhD
Publikováno v:
Critical Care Explorations, Vol 6, Iss 7, p e1116 (2024)
BACKGROUND AND OBJECTIVE:. To develop the COVid Veteran (COVet) score for clinical deterioration in Veterans hospitalized with COVID-19 and further validate this model in both Veteran and non-Veteran samples. No such score has been derived and valida
Externí odkaz:
https://doaj.org/article/ff25206d5ee44c6eaef6173cd2669344
Publikováno v:
Radiology Case Reports, Vol 18, Iss 8, Pp 2552-2557 (2023)
The Coronavirus disease 2019 (COVID-19) pandemic continues to be a major public health concern affecting millions of people globally. The COVID-19 vaccination has implications in medical assessment of cancer patients especially undergoing diagnostic
Externí odkaz:
https://doaj.org/article/38ce7e67fcab41b589195a1ec8e38ab7
Autor:
Sanjay Singh, Vinod Nair, Ravindu Tiwari, Devendra Arora, Madhusudan Dey, Abhijeet Kumar, Shyamji Tiwari
Publikováno v:
New Indian Journal of OBGYN, Vol 9, Iss 2, Pp 263-268 (2023)
Objective: To determine the clinical course of critically ill, SARS-CoV-2 positive pregnant women and to critically analyze the circumstances which led to their mortality. Methods: A retrospective review of case records examined to analyze the clinic
Externí odkaz:
https://doaj.org/article/f598c322443b4c73a977cc70f41f9baf
Autor:
Devendra Arora, K S Rajmohan, Sanjay Singh, Vinod Nair, Sanghita Barui, Madhusudan Dey, Abhijeet Kumar
Publikováno v:
Tzu-Chi Medical Journal, Vol 34, Iss 3, Pp 329-336 (2022)
Objectives: An alarming rate of adverse perinatal outcomes as well as maternal deaths has been reported worldwide during this pandemic. It would be prudent to start thinking on the lines of acute or chronic intrauterine fetal hypoxia due to placental
Externí odkaz:
https://doaj.org/article/9737b09601424337bb18a5e59cd72549
Let $\rho_1$ and $\rho_2$ be two states on $\mathbb{C}^{d_1}$ and $\mathbb{C}^{d_2}$ respectively. The marginal state space, denoted by $\mathcal{C}(\rho_1,\rho_2)$, is the set of all states $\rho$ on $\mathbb{C}^{d_1}\otimes \mathbb{C}^{d_2}$ with p
Externí odkaz:
http://arxiv.org/abs/2412.10041
Graph Neural Networks (GNNs) are non-Euclidean deep learning models for graph-structured data. Despite their successful and diverse applications, oversmoothing prohibits deep architectures due to node features converging to a single fixed point. This
Externí odkaz:
http://arxiv.org/abs/2412.04064
Autor:
Dopiriak, Matúš, Šlapak, Eugen, Gazda, Juraj, Gurjar, Devendra S., Faruque, Mohammad Abdullah Al, Levorato, Marco
Connected and autonomous vehicles (CAVs) offload computationally intensive tasks to multi-access edge computing (MEC) servers via vehicle-to-infrastructure (V2I) communication, enabling applications within the vehicular metaverse, which transforms ph
Externí odkaz:
http://arxiv.org/abs/2411.11857
Autor:
Wüst, Antonia, Tobiasch, Tim, Helff, Lukas, Dhami, Devendra S., Rothkopf, Constantin A., Kersting, Kristian
Recently, newly developed Vision-Language Models (VLMs), such as OpenAI's GPT-4o, have emerged, seemingly demonstrating advanced reasoning capabilities across text and image modalities. Yet, the depth of these advances in language-guided perception a
Externí odkaz:
http://arxiv.org/abs/2410.19546
Time series data is prevalent across numerous fields, necessitating the development of robust and accurate forecasting models. Capturing patterns both within and between temporal and multivariate components is crucial for reliable predictions. We int
Externí odkaz:
http://arxiv.org/abs/2410.16928
Company fundamentals are key to assessing companies' financial and overall success and stability. Forecasting them is important in multiple fields, including investing and econometrics. While statistical and contemporary machine learning methods have
Externí odkaz:
http://arxiv.org/abs/2411.05791