Remote monitoring of physical and mental state of 2019-nCoV victims using social internet of things, fog and soft computing techniques
Section snippets
Declaration of Competing Interest
None.
References (7)
- et al.
Fear of COVID 2019: first suicidal case in India!
Asian J Psychiatr
(2020) - et al.
"A chaotic and stressed environment for 2019-nCoV suspected, infected and other people in India: fear of mass destruction and causality
Asian J Psychiatr
(2020) - COVID-19 coronavirus pandemic. 2020https://www.worldometers.info/coronavirus/ (Accessed in 18th May...
Cited by (24)
Implication and challenges of mobile health and blockchain technology for remote patient monitoring
2023, Journal of Taibah University Medical SciencesTowards solving NLP tasks with optimal transport loss
2022, Journal of King Saud University - Computer and Information SciencesCitation Excerpt :Machine Learning (ML) is a field of study that allows computing systems to learn to solve a task from data without being explicitly programmed (Mitchell and Mitchell, 1997). ML has observed a wide range of in various fields such as healthcare (Monga et al., 2022; Kaur and Sharma, 2019; Sharma et al., 2020; Tohira et al., 2021; Glaz et al., 2021), agriculture (Pandiarajaa et al., 2021), transportation (Bangui and Buhnova, 2021), and task scheduling (Chathurangi et al., 2020). Natural Language Processing (NLP) is a sub-field of computer science and linguistics that studies how a computer can learn to understand the natural language text (Young et al., 2018).
K-means panning – Developing a new standard in automated MSNA signal recognition with a weakly supervised learning approach
2022, Computers in Biology and MedicineCitation Excerpt :Other approaches have utilised active learning approaches in which partial labelling of the dataset is combined with a particle swarm optimisation algorithm to reduce the work required for labelling [15]. It has been suggested that systems utilising such advanced and time saving automated data processing and labelling systems may have a beneficial impact on a wide range of biological and medical fields, given careful and environmentally friendly adaptation [16,17]. These include applications dealing with complex and high-dimensional data such as medical imaging data [18,19] as well as complex concepts relating to psychological and psychiatric diseases [20].
Application of Machine Learning Techniques to Help in the Feature Selection Related to Hospital Readmissions of Suicidal Behavior
2024, International Journal of Mental Health and Addiction