Artificial intelligence, machine learning, and mental health in pandemics a computational approach
Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach provides a comprehensive guide for public health authorities, researchers and health professionals in psychological health. The book takes a unique approach by exploring how Artificial Intelligence (A...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
London, England ; San Diego, California :
Elsevier
[2022]
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009835430706719 |
Tabla de Contenidos:
- Mental health impact of COVID-19 and machine learning applications in combating mental disorders : a review / Chirantan Ganguly, Sagnik Nayak and Anil Kumar Gupta
- Multimodal depression detection using machine learning / Roshan Jahan and Manish Madhav Tripathi
- A graph convolutional network based framework for mental stress prediction / Akhila Sahiti Racherla, Raj Sahu and Vandana Bhattacharjee
- Women working in healthcare sector during COVID-19 in the National Capital Region of India : a case study / Veenus Jain and Senu Mary Skariah
- Impact of COVID-19 on women educators / Veenus Jain and Meher Chopra
- A deep learning approach toward prediction of mental health of Indians / V. Kavitha and C. Akila
- Machine learning based analysis and prediction of college students' mental health during COVID-19 in India / Aparajita Nanda, Sonal Tuteja and Sarishty Gupta
- Modeling the impact of the COVID-19 pandemic and socioeconomic factors on global mobility and its effects on mental health / Shashank Uttrani, Bharti Nanta, Neha Sharma and Varun Dutt
- Depression detection : approaches, challenges and future directions / Tara Rawat and Shikha Jain
- Improving mental health surveillance over Twitter text classification using word embedding techniques / Reno Ardian Syaputra and Rashid Ali
- Predicting loneliness from social media text using machine learning techniques / Rishik Sood, Hrishav Varma, Kavita Pandey, Shikha Jain, Degala Sriram and Arshpreet Singh Guglani
- Perceiving the level of depression from web text / Sankalp Singh Bisht, Herumb Shandilya, Vaibhav Gupta, Shriyansh Agrawal and Shikha Jain
- Technologies for vaccinating COVID-19, its variants and future pandemics : a short survey / Saurabh Jain, Priyanka Chawla, Keshav Kaushik and Adarsh Kumar
- A blockchain approach on security of health records for children suffering from dyslexia during pandemic COVID-19 / Megha Jain, Dhiraj Pandey and Kewal Krishna Sharma.
