Irish journal of medical science
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Coronavirus disease (COVID-19) currently named SARS-CoV-2 is a contagious disease caused by a coronavirus. The virus may infect the hair follicles directly or indirectly through systemic changes in the immune or hormonal systems. ⋯ In conclusion, we reported prevalence of post-COVID hair fall that was confirmed by trichoscopy and which affected approximately 61.4% of infected females.
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Ireland, like many countries, pursued a containment strategy during the initial stages of the COVID-19 pandemic. Multidisciplinary Outbreak Control Team (OCT) meetings were among the urgent measures used by public health teams in managing COVID-19 outbreaks, especially in high-risk settings. ⋯ While substantial DePH resources were required to manage COVID-19 outbreaks in older person RCFs, it is highly likely that these efforts prevented new infections within RCFs and thus reduced hospitalisations, ICU admissions and deaths. This sustained input placed a significant burden on the wider multidisciplinary public health team, and it affected the department's capacity to deal with competing health threats and priorities. Future pandemic preparedness requires commensurate resource planning for public health teams.
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Spinal cord Tumor has been characterized as a heterogeneous disease consisting of many different subtypes. The early diagnosis and prognosis of a cancer type have become a necessity in cancer research, as it can facilitate the subsequent clinical management of patients. The importance of classifying cancer patients into Bening or malignant has led many re- search teams, from the biomedical and the bioinformatics field, to study the application of machine learning (ML) methods. ⋯ A variety of these techniques, Logistic regression, Support Vector Machines (SVMs), Decision Trees (DTs), Random forest classifier(RFs) have been widely applied in cancer research for the development of predictive models, resulting in effective and accurate decision making. Even though it is evident that the use of ML methods can improve our understanding of cancer progression, an appropriate level of validation is needed in order for these methods to be considered in the everyday clinical practice. In this work, we have discussed a predictive model based on various supervised ML techniques.
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This study aimed to assess the determinants of burnout among healthcare providers in the primary care setting. ⋯ Every fourth out of ten suffered from personal burnout, one-third from work-related burnout, and one-seventh from client-related burnout among healthcare providers during the COVID-19 pandemic. Healthcare systems must take care of healthcare workers' physical and emotional depletion, reducing the risk of burnout.