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SCIDIR_on1312713181 |
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20231120010642.0 |
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220427s2022 enka ob 001 0 eng d |
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|a YDX
|b eng
|e rda
|c YDX
|d OPELS
|d EBLCP
|d OCLCF
|d N$T
|d LML
|d OCLCQ
|d MOU
|d OCLCO
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|a 9780323915557
|q (electronic bk.)
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|a 0323915558
|q (electronic bk.)
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|z 9780323911962
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|z 032391196X
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|a (OCoLC)1312713181
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4 |
|a R859.7.A78
|b A78 2022
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0 |
4 |
|a 610.285
|2 23
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| 245 |
0 |
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|a Artificial intelligence, machine learning, and mental health in pandemics :
|b a computational approach /
|c edited by Shikha Jain, Kavita Pandey, Princi Jain, Kah Phooi Seng.
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| 260 |
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|a London :
|b Academic Press,
|c 2022.
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| 300 |
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|a 1 online resource (xliv, 374 pages)
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 504 |
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|a Includes bibliographical references and index.
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| 505 |
0 |
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|a 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.
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| 588 |
0 |
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|a Online resource; title from pdf information screen (EBSCO, viewed November 8, 2023)
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| 650 |
|
0 |
|a Artificial intelligence
|x Medical applications.
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| 650 |
|
0 |
|a Machine learning.
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| 650 |
|
0 |
|a Mental health.
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| 650 |
|
0 |
|a COVID-19 Pandemic, 2020-
|x Psychological aspects.
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| 650 |
|
2 |
|a Machine Learning
|0 (DNLM)D000069550
|
| 650 |
|
6 |
|a Intelligence artificielle en m�edecine.
|0 (CaQQLa)201-0180593
|
| 650 |
|
6 |
|a Apprentissage automatique.
|0 (CaQQLa)201-0131435
|
| 650 |
|
6 |
|a Pand�emie de COVID-19, 2020-
|0 (CaQQLa)000314058
|x Aspect psychologique.
|0 (CaQQLa)201-0373794
|
| 650 |
|
7 |
|a Artificial intelligence
|x Medical applications
|2 fast
|0 (OCoLC)fst00817267
|
| 650 |
|
7 |
|a Machine learning
|2 fast
|0 (OCoLC)fst01004795
|
| 650 |
|
7 |
|a Mental health
|2 fast
|0 (OCoLC)fst01016339
|
| 647 |
|
7 |
|a COVID-19 Pandemic
|d (2020-)
|2 fast
|0 (OCoLC)fst02024716
|
| 648 |
|
7 |
|a Since 2020
|2 fast
|
| 700 |
1 |
|
|a Jain, Shikha
|c (Computer scientist),
|e editor.
|
| 700 |
1 |
|
|a Pandey, Kavita,
|e editor.
|
| 700 |
1 |
|
|a Jain, Princi,
|e editor.
|
| 700 |
1 |
|
|a Seng, Kah Phooi,
|d 1974-
|e editor.
|
| 776 |
0 |
8 |
|i Print version:
|t Artificial intelligence, machine learning, and mental health in pandemics.
|d London : Academic Press, 2022
|z 9780323911962
|w (OCoLC)1308480369
|
| 856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780323911962
|z Texto completo
|
