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.
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.