Objective: To find out the effectiveness of cardiac rehabilitation in patients with myocardial infarction in Pakistan. Study Design: Randomised controlled trial.
Human skin is the most exposed part of the human body that needs constant protection and care from heat, light, dust, and direct exposure to other harmful radiation, such as UV rays. Skin cancer is one of the dangerous diseases found in humans. Melanoma is a form of skin cancer that begins in the cells (melanocytes) that control the pigment in human skin. Early detection and diagnosis of skin cancer, such as melanoma, is necessary to reduce the death rate due to skin cancer. In this paper, the classification of acral lentiginous melanoma, a type of melanoma with benign nevi, is being carried out. The proposed stacked ensemble method for melanoma classification uses different pre-trained models, such as Xception, Inceptionv3, InceptionResNet-V2, DenseNet121, and DenseNet201, by employing the concept of transfer learning and fine-tuning. The selection of pre-trained CNN architectures for transfer learning is based on models having the highest top-1 and top-5 accuracies on ImageNet. A novel stacked ensemble-based framework is presented to improve the generalizability and increase robustness by fusing fine-tuned pre-trained CNN models for acral lentiginous melanoma classification. The performance of the proposed method is evaluated by experimenting on a Figshare benchmark dataset. The impact of applying different augmentation techniques has also been analyzed through extensive experimentations. The results confirm that the proposed method outperforms state-of-the-art techniques and achieves an accuracy of 97.93%.
<p class="abstract"><strong>Background:</strong> Breast cancer is the second most frequently occurring malignant tumour. It's a progressive disease hence gradually developing into more fatal form from very small lesion. Knowledge and awareness about risk factors, symptoms and screening methods reduces the mortality and morbidity.</p><p class="abstract"><strong>Methods:</strong> A cross-sectional study was conducted in Lahore. Data was collected anonymously on self-administrated questionnaire regarding awareness and knowledge about risk factors, presentations of breast cancer and screening practices about breast self-examination (BSE), clinical breast examination (CBE) and mammography. </p><p class="abstract"><strong>Results:</strong> A total of 400 females participated in this study. 34% had heard of BSE, 30% of CBE and 29.5% of the mammography. Only 21.8% had ever performed BSE and 14% had ever received CBE. On enquiring the reasons for not performing BSE 29% did not know how to do it and 14.3% indicated embarrassment as the cause of not performing CBE. Regarding the source of information internet was identified as the most popular one (64.8%) followed by breast cancer campaigns (58.5%). Participants had inadequate knowledge about risk factors and its presentations. There is much lack of information about mammography but participants were aware of the age (35-40years) to start this screening procedure.</p><p class="abstract"><strong>Conclusions:</strong> Our studies revealed lack of awareness and knowledge with regard to breast cancer and it screening methods. There is utmost need to enhance the awareness and encouraging the performance of BSE, CBE and mammography among females from very young age to reduce its incidence.</p>
The purpose of the present research was to investigate the difference between the depressive symptoms among asthmatic and non-asthmatics. The total sample consisted of sixty (n=60) participants that included thirty (n=30) asthmatics and thirty (n=30) non-asthmatics both males and females. Convenient sampling technique was used in sample selection. The Beck Depression scale was used. Data was collected from the asthmatic patients in the Khyber Teaching Hospital. It was hypothesized that asthmatics will have more depressive symptoms than the non-asthmatics. The results supported the hypothesis (p<0.01). The female asthmatics scored slightly higher on scale of depression than male asthmatics.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.