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NeuroQuantology ; 20(16):2154-2163, 2022.
Article in English | EMBASE | ID: covidwho-2146757

ABSTRACT

To finish a conscious concern with the assurance of infection the scientific introduction of an Artificial Intelli-gence (AI) structure for acknowledgment of COVID19 in chest radiographs (CXR), and differentiation results with those ofspecialists working alone, or with AI maintain. Material(s) and Method(s): An Artificial Intelligence system was changed to isolate confirmed COVID-19 pneumonia, from other viral and bacterial pneumonia and non-pneumonia patients and used to review CXR pictures from grown-up patients brilliantly sourced from nine novel data bases. 54 specialists remiss to investigation were free to interpret pictures under unclear conditions in a test set and self-assertively assigned either to get or not get maintain from the AI structure. Relationships were then made between the demonstrative display of specialists working with and without AI maintain. Man-made awareness structure execution was surveyed using the region under the authority working brand name (AUROC), and affectability and expresses of specialist execution appeared differently in relation to that of the Artificial Intelligence system. The eventual outcome of Discrimination by the Artificial Intelligence course of action of COVID-19 pneumonia showed an AUROC twist of 0.96 in the endorsement and 0.83 in the external test set, separately. The Artificial Intelligence structure beat specialists in the AUROC as a rule. When working with Artificial Intelligence maintain, specialists extended their indicative affectability from 45% to 65%, despite the way that disposition lessened from 55% to 60%. The essential maxim of our investigation to suggest trans-lating chest radiographs maintained by Artificial Intelligence, assembles specialist characteristic affectability for COVID-19 ID. This strategy including a human-machine affiliation may help encourage triaging attempts and improve resource designation in the currentcrisis. Copyright © 2022, Anka Publishers. All rights reserved.

2.
9th International Conference on Innovations in Computer Science and Engineering, ICICSE 2021 ; 385:73-80, 2022.
Article in English | Scopus | ID: covidwho-1787779

ABSTRACT

Covid-19 has significantly reformed the whole learning and teaching take away. Many of learners and faculty are affected due to pandemic. With this result, there is largest online movement in the history of education with the sudden shift from Class room to Google Class room which is virtual and digital. This is one of the first observed studies investigating the effect of the sudden shift from face-to-face to online distance learning due to Covid-19 lockdown. Online test was conducted to compare grades of quizzes, assignments, course module and final exam. If administered correctly this shift could lead to a larger learner population, more cost efficiencies and more over faculties stress level will also increase rapidly. In this paper, we have studied the faculties stress level and preparation of the content to be delivered to the learners;we have also studied the extra efforts taken by the faculties in self-development when compared to the other non-teaching staffs;and the academic ratings which the faculties have achieved through the efforts in delivering a good content during the Pandemic Wave One period. We have the analysis done in this regard and presented with accurate result. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

3.
Annals of Oncology ; 32:S1080, 2021.
Article in English | EMBASE | ID: covidwho-1432819

ABSTRACT

Background: Palliative care has an irrefutable part to play in oncologic management. Due to the ongoing COVID-19 pandemic, where many patients are unable to visit hospitals, tele-palliative care has become an attractive option. We conducted this study intending to assess the impact of tele-palliative care on the quality of life (QOL) of cancer patients in the setting of this pandemic. Methods: 60 patients of advanced stages of cancer on supportive care were prospectively recruited into the study. Each patient was assessed by physicians at baseline and every 2 weeks thereafter for 6 weeks and analysed for the difference in score. The baseline assessment was in-person and the subsequent assessments were made over the phone and utilizing teleconferencing services when needed. At each assessment, patients received supportive care, symptomatic medication, and counselling as required. The quality of life at baseline and at 6 weeks of receiving tele-palliative care was assessed using the functional assessment of chronic illness therapy- palliative care (FACIT-Pal) version 4 questionnaire. The questionnaire had 5 sub-scales which are used to calculate three quality of life indices, FACIT-Pal Trial Outcome Index (TOI), FACT-G, and FACIT-Pal Total score. The higher the score of the indices, the better is the QOL. Results: At 6 weeks, all the sub-scale scores and indices showed a significant improvement improved when compared to baseline except for the emotional well-being subscale. Among the indices, the improvement in the mean scores was the highest (8.01%) for TOI and the least (6.03%) for the FACIT-PAL total score. The mean of TOI at 6 weeks was 88, standard deviation (SD) of 16.69,95% CI 83.69-92.31) compared to mean at baseline 77.43(SD-16.52, 95% CI 73.16-81.70) with a p-value of <0.0001. The mean of FACIT-Pal total at baseline was 112.08(SD-20.45, 95% CI 106.79-117.36) and at 6 weeks, the mean was 123.17(SD-20.58, 95% CI-117.86-128.49) with a p-value of <0.0001. Conclusions: Tele-palliative care in the background of the COVID-19 has resulted in improved QOL of symptomatic cancer patients. This study reiterates the importance of palliative care and encourages us to devise ways to provide this invaluable service. Legal entity responsible for the study: The authors. Funding: Has not received any funding. Disclosure: All authors have declared no conflicts of interest.

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