[HTML][HTML] The effect of meditation and physical activity on the mental health impact of COVID-19–related stress and attention to news among mobile app users in the …
Background: The COVID-19 pandemic has been declared an international public health
emergency, and it may have long-lasting effects on people's mental health. There is a need …
emergency, and it may have long-lasting effects on people's mental health. There is a need …
[HTML][HTML] Learning the mental health impact of COVID-19 in the United States with explainable artificial intelligence: observational study
IP Jha, R Awasthi, A Kumar, V Kumar… - JMIR mental …, 2021 - publichealth.jmir.org
Background: The COVID-19 pandemic has affected the health, economic, and social fabric
of many nations worldwide. Identification of individual-level susceptibility factors may help …
of many nations worldwide. Identification of individual-level susceptibility factors may help …
COVID-19 Risk Stratification and Mortality Prediction in Hospitalized Indian Patients: Harnessing clinical data for public health benefits
The variability of clinical course and prognosis of COVID-19 highlights the necessity of
patient sub-group risk stratification based on clinical data. In this study, clinical data from a …
patient sub-group risk stratification based on clinical data. In this study, clinical data from a …
Counterfactually guided policy transfer in clinical settings
Abstract Domain shift, encountered when using a trained model for a new patient
population, creates significant challenges for sequential decision making in healthcare since …
population, creates significant challenges for sequential decision making in healthcare since …
Forecasting high-risk areas of covid-19 infection through socioeconomic and static spatial analysis
Existing COVID-19 prediction models focus on studying the dynamic nature of the virus
spread by using pandemic-related temporal data. In this paper, we present a work that …
spread by using pandemic-related temporal data. In this paper, we present a work that …
Predicting locally manageable resource failures of high availability clusters
P Somasekaram, R Calinescu - Software: Practice and …, 2022 - Wiley Online Library
Critical services from domains as diverse as finance, manufacturing and healthcare are
often delivered by complex enterprise applications (EAs). High‐availability clusters (HACs) …
often delivered by complex enterprise applications (EAs). High‐availability clusters (HACs) …
Application of tools and techniques of Big data analytics for healthcare system
The concept of data analysis is essential in making decisions that may affect the way a
sector of the society or an industry function. Healthcare data availability has grown manifold …
sector of the society or an industry function. Healthcare data availability has grown manifold …
WiseR: An end-to-end structure learning and deployment framework for causal graphical models
Structure learning offers an expressive, versatile and explainable approach to causal and
mechanistic modeling of complex biological data. We present wiseR, an open source …
mechanistic modeling of complex biological data. We present wiseR, an open source …
Integrated Predictive Modeling and Analytics for Crisis Management
AA Alhamadani - 2024 - vtechworks.lib.vt.edu
The surge in the application of big data and predictive analytics in fields of crisis
management, such as pandemics and epidemics, highlights the vital need for advanced …
management, such as pandemics and epidemics, highlights the vital need for advanced …
Bayesian Prognostic Framework for High-Availability Clusters
P Somasekaram - 2021 - etheses.whiterose.ac.uk
Critical services from domains as diverse as finance, manufacturing and healthcare are
often delivered by complex enterprise applications (EAs). High-availability clusters (HACs) …
often delivered by complex enterprise applications (EAs). High-availability clusters (HACs) …