International Journal of Advanced Medical Sciences and Technology

Journal Information
EISSN : 2582-7596
Total articles ≅ 7
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Articles in this journal

Ishtiaque Ahmed, Manan Darda, Neha Tikyani, Rachit Agrawal, Manjusha Joshi
International Journal of Advanced Medical Sciences and Technology, Volume 1, pp 5-10; https://doi.org/10.35940/ijamst.c3018.081421

Abstract:
The COVID-19 pandemic has caused large-scale outbreaks in more than 150 countries worldwide, causing massive damage to the livelihood of many people. The capacity to identify contaminated patients early and get unique treatment is quite possibly the primary stride in the battle against COVID-19. One of the quickest ways to diagnose patients is to use radiography and radiology images to detect the disease. Early studies have shown that chest X-rays of patients infected with COVID-19 have unique abnormalities. To identify COVID-19 patients from chest X-ray images, we used various deep learning models based on previous studies. We first compiled a data set of 2,815 chest radiographs from public sources. The model produces reliable and stable results with an accuracy of 91.6%, a Positive Predictive Value of 80%, a Negative Predictive Value of 100%, specificity of 87.50%, and Sensitivity of 100%. It is observed that the CNN-based architecture can diagnose COVID19 disease. The parameters’ outcomes can be further improved by increasing the dataset size and by developing the CNN-based architecture for training the model.
Sk. Shariful Alam, Shakibul Islam, Mustahsin Farhan Chowdhury, Tanim Ahmed
International Journal of Advanced Medical Sciences and Technology, Volume 1, pp 11-18; https://doi.org/10.35940/ijamst.c3022.081421

Abstract:
L: l: Email:l: Email:l: Regarding the highly contiguous novel coronavirus disease (COVID-19), it is unsafe for health professionals, being involved in a hospital isolation ward. The healthcare workers, stationed in a contagious ward provide relentless monitoring of specific health parameters of those patients. The rate of contagion proportionately depends on the time spent by the health workers in an isolation ward. This challenging task is fairly manageable by employing promising Internet-of-Things (IoT) based autonomous robots (i.e. smart bots) thus reducing the hazards of contamination to health workers. In this research paper, we introduce a smart bot that can periodically measure the health parameters of COVID-19 patients, for instance, body temperature, oxygen saturation levels, blood pressure, respiration rate, heart rate, blood glucose level, etc. The proposed smart bot will transfer from one patient to another in a structured pattern and autonomously collect, forward, store the data of the patients for further analysis. The goal of the work is to involve a significantly inferior number of health workers in contagious wards to control contagion, thus creating stress-free environs for health workers. Moreover, smart bots will offer health professionals to pay attention to non-COVID-19 patients and make things easier for regular health check-ups of individuals in need.
Faisal Rehman, National University of Science of Technology Islamabad., Syed Sheeraz Ali, Hamadullah Panhwar, Akhtar Hussain Phul, Sajjad Ali Rajpar, Shuaib Ahmed, Saeed Rabbani, Tarique Mehmood, Sukkur IBA University Sindh Pakistan., et al.
International Journal of Advanced Medical Sciences and Technology, Volume 1, pp 1-4; https://doi.org/10.35940/ijamst.c3016.081421

Abstract:
In the medical era the Brain tumor is one of the most important research areas in the field of medical sciences. Researcher are trying to find the reliable and cost effective medical equipment’s for the cancer and its type for the diagnosed, especially tumor has deferent kinds but the major two type are discussed in this research paper. Which are the benign and Pre-Malignant, this research work is proposed for these factors such as the accuracy of the MRI image for the tumor identification and actual placing were taken into consideration. In this study, an algorithm is proposed to detect the brain tumor from magnetic resonance image (MRI) data simple. As enhance the image quality for the easiness the tumor treatments and diagnosed for the patients. The proposed algorithm enhances the MR image quality and detects the Brain tumor which helps the Physician to diagnose the tumor easily. As well this algorithm automatically calculates the area of tumor, size and location of the tumor where it is present for diagnostic the Patient.
Pham Thi Bich Ngoc, Hoang Thi Minh Thai, Dinh Tran Ngoc Huy, Vietnam. Nam Dinh Univerrsity Of Nursing
International Journal of Advanced Medical Sciences and Technology, Volume 1, pp 11-15; https://doi.org/10.35940/ijamst.b3006.061321

Abstract:
This study conducted at Nam Dinh University of Nursing based on concept that Positive attitude towards occupational exposure can help nursing students self-correct their behavior in the prevention of blood and body fluid exposure. This paper aims to describe final-year nursing students’ attitude of Nam Dinh University of Nursing towards preventing exposures to blood and body fluids. Related to research methods, Final year full-time nursing students were randomly selected to answer questionnaires. Research results show The mean score of the attitude towards the prevention of exposure to blood and body fluids was 3.69 ± 0.22 points. In which, mean scores of students’ attitude towards severity; the importance of preventive measures; the role of solving, reporting, treating and monitoring post-exposure; self confidence; barriers to the practice of preventive measures are in turn 4,00 ± 0,41 points; 4,23 ± 0,43 points; 3,84 ± 0,48 points;2,8 ± 0,47 points; 3,61 ± 0,43 points. Authors conclude that attitude of final-year nursing students of Nam Dinh University of Nursing towards preventing exposures to blood and body fluids is moderate with mean score is 3,69 ± 0,22 points/5 points. Final-year nursing students have positive attitude towards severity and the importance of preventive measures but have negative attitude towards self confidence to do prevention measures to blood and body fluid exposures.
Khasanov U.S., Djuraev J.A., Vokhidov U.N., Botirov A.J.
International Journal of Advanced Medical Sciences and Technology, Volume 1, pp 3-6; https://doi.org/10.35940/ijamst.b3007.061321

Abstract:
Today, there are several diagnostic methods that allow you to determine the exact size and nature of periapical formations. In addition, there are studies that describe the thickening of the sinus mucosa in patients with periapical lesions and show a causal relationship. Objectives: This study was to study the morphological changes in the cysts of the maxillary sinus. Methods: 50 patients with maxillary sinus cysts were evaluated. A total of 50 maxillary sinuses (13 men and 12 women) were analyzed taking into account changes in density in the sinus cavity. The thickening of the sinus mucosa and periapical lesions was measured in the caudal-cephalic direction. The axial and sagittal axes were taken as a basis on the sagittal and coronal sections. The presence of opacities was not directly related to periapical lesions. Conclusions. Lesions of the maxillary sinus floor have been associated with chronic periapical lesions larger than 4 mm. Clouding or thickening of the sinus mucosa was not associated with periapical lesions.
Pooja M R
International Journal of Advanced Medical Sciences and Technology, Volume 1, pp 1-2; https://doi.org/10.35940/ijamst.b3005.061321

Abstract:
The learning approaches in healthcare would aim at phenotyping the disease based on clinical as well as physiological characteristics as ideally disease is defined and diagnosed by a combination of clinical symptoms and physiologic abnormalities.The medicine today is advanced into new realm with the growth of applications of artificial intelligence and machine learning in healthcare. This is important as we will not be addressing the target population for a specific disease alone; rather predict the likely outcome of the related disease in an unknown population of interest with the knowledge gained. This is of utmost focus especially with rare diseases, the data for which are available in lower volumes. Further, prediction outcomes available at earlier stages are important to prepare points of care to handle disastrous outcomes resulting from the diseases.
International Journal of Advanced Medical Sciences and Technology, Volume 1, pp 1-5; https://doi.org/10.35940/ijamst.b3003.041221

Abstract:
In this article, some facts related to psychiatry and my health were reviewed and the cause and remedial actions for my schizophrenia were mentioned. It was deduced that I felt HEALTHY with my entertainments. Furthermore, some facts about sexual medicine were illustrated. Also some scientific problems of Iran were mentioned. It was concluded that Iran and I will not become anything in the science, I have no intelligence and Iran and I will not become anything in general. Also two petitions were introduced in this paper. In addition, it was deduced that the only way for the scientific advancement of Iran is to make Iran a state of USA.
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