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1.
International Journal of Computational Science and Engineering ; 26(2):182-191, 2023.
Article in English | ProQuest Central | ID: covidwho-2261671

ABSTRACT

Polysemy is a constant issue in biomedical terms which also affects its QA system. In our work, we consider polysemous words as weak aspect in biomedical question classification and propose two vector model-based solutions that determine the class-specific features of biomedical terms. In first approach, label independent class vector and general word vector are combined using linear compositionality property of vector to generate multiple class-specific embeddings of words. Second is the feature fusion approach, which combines the class-specific sense vector of a word with vectors generated in the first approach. Besides this, a survey dataset COVID-S is introduced in this paper, which is a collection of public queries, myths, and doubts about novel COVID-19 diseases. The series of experiments are performed on two biomedical questions datasets, BioASQ8b and COVID-S, and the results of comparisons with other state-of-arts prove its integrity using SVM and naïve Bayes.

2.
Prim Care Companion CNS Disord ; 24(5)2022 Sep 15.
Article in English | MEDLINE | ID: covidwho-2040080

ABSTRACT

Objective: To explore the psychological impact of the coronavirus disease 2019 (COVID-19) pandemic and associated lockdown on patients with psychiatric illness.Methods: An online survey-based cross-sectional study was conducted among patients receiving follow-up treatment at a tertiary care center from January to March 2020. The data were collected using a questionnaire about the possible challenges in 3 broad areas: treatment-related challenges, psychosocial difficulties, and concerns related to COVID-19.Results: The majority of patients (72.6%) reported a positive impact due to the increased availability of family support. Patients with depression and anxiety disorders (39.0%) experienced a more negative impact compared to those with psychotic disorders. Many of the psychiatric patients (22.6%) stopped medications and had difficulties accessing health services. Patients also experienced increased interpersonal conflict, sleep difficulties, and a surge in screen time.Conclusions: The findings highlight the difficulties faced by patients with psychiatric illnesses and emphasize the importance of family cohesion during times of crisis.


Subject(s)
COVID-19 , Mental Disorders , Communicable Disease Control , Cross-Sectional Studies , Humans , Mental Disorders/epidemiology , Mental Disorders/psychology , Mental Disorders/therapy , Outpatients , Pandemics
3.
Int J Soc Psychiatry ; 67(8): 1081-1082, 2021 12.
Article in English | MEDLINE | ID: covidwho-969545
4.
Indian J Psychiatry ; 62(5): 601-603, 2020.
Article in English | MEDLINE | ID: covidwho-895540
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