Evidence map›Paper›PMID 35280456›Full record

ArticleSN computer science2022

Artificial Intelligence to Combat the Sting of the Pandemic on the Psychological Realms of Human Brain.

Mary Fabiola Sagayaraj, Ignisha Rajathi George, R Vedhapriyavadhana, L R Priya

Abstract read
In one paragraph

Article in SN computer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mary Fabiola SagayarajDepartment of Science and Humanities, Sri Krishna College of Engineering and Technology, Coimbatore, 641008 India.ORCID 0000-0002-5518-0286
Ignisha Rajathi GeorgeDepartment of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, 641008 India.
R VedhapriyavadhanaSchool of Computer Science Engineering, Vellore Institute of Technology, Chennai, India.
L R PriyaDepartment of Electronics and Communication Engineering, Francis Xavier Engineering College, Tirunelveli, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We are inhabitants of the universe in this anomalous time due to the novel corona virus. COVID-19, which WHO has annotated as a pandemic, is an infectious and contagious disease hastened by the most freshly perceived coronavirus. COVID-19 has gravely hit different people in different ways, some with physical symptoms and some patients will likely be more susceptible to insignificant and extreme symptoms of mental illness. Such patients often with pre-existing mobility limitations get imprisoned in their own homes. The current pandemic beseeches for intense contemplation of the mental health of patients to reduce their worry and heal their fear, depression and anxiety due to quarantine. Artificial intelligence (AI) is more and more remarkable in public, academic, and clinical provinces. This paper aims in addressing the mental health problems faced by patients affected by COVID-19 and recommends artificial intelligence integrated virtual counsellor who can provide advice to their problems. The strategy of AI is being developed and enhanced which will possibly help in addressing the problems in this pandemic time.

Indexed as

AnxietyArtificial intelligenceCoronavirusCOVID‐19DepressionFearIsolationLockdownMental healthPandemicQuarantineStressSymptoms

Identifiers

PMID35280456
PMCPMC8900112

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.