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  • 1
    Online Resource
    Online Resource
    Prevalence, Diagnostic Challenges and Management of Fibromyalgia
    Research Establishment for Electronic Publication ; 2023
    In:  Journal of Healthcare Sciences Vol. 03, No. 01 ( 2023), p. 47-52
    Details
    In: Journal of Healthcare Sciences, Research Establishment for Electronic Publication, Vol. 03, No. 01 ( 2023), p. 47-52
    Abstract: Chronic pain is regarded as a global public health issue which significantly affects the quality of life. Fibromyalgia is the most widespread chronic pain condition. It has grown to alarming proportions in terms of impairment, use of health and social resources, and impact on general and specialty care systems. Fibromyalgia is characterized by persistent, widespread musculoskeletal pain that is frequently accompanied by additional signs and symptoms such exhaustion, gastrointestinal problems, and changes in mood and sleep. Fibromyalgia is thought to affect approximately 2%-8% of people worldwide. Diagnostic criteria for fibromyalgia include presence of pain on both sides of the body, above and below the waist, present for at least three months, the presence of at least 11 out of a possible 18 tender points, and the lack of any other condition that could explain the pain better. Fibromyalgia affects women more commonly than men. Diagnosis and treatment of fibromyalgia can be challenging due to its complexity and also due to the absence of specific markers and laboratory diagnostics. Fibromyalgia is a contentious illness. Multidisciplinary approach is best for the treatment and management of fibromyalgia. Antidepressants and neuromodulating antiepileptics, which only presently include duloxetine, milnacipran, and pregabalin, play a significant role in treating fibromyalgia while most nonsteroidal anti-inflammatory medications and opioids offer very modest benefits. Additionally, pharmacological therapy should be combined with nonpharmacological treatments including exercise and physiotherapy among others. The purpose of this research is to review the available information about prevalence, diagnostic challenges and management of fibromyalgia
    Type of Medium: Online Resource
    ISSN: 1658-8967
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.52533/JOHS.2023
    DOI: 10.52533/JOHS
    DOI: 10.52533/JOHS.2023.30108
    Language: Unknown
    Publisher: Research Establishment for Electronic Publication
    Publication Date: 2023
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Inhalation anaesthetics: types, mechanism of action and adverse effects
    Medip Academy ; 2022
    In:  International Journal Of Community Medicine And Public Health Vol. 9, No. 12 ( 2022-11-28), p. 4684-
    Details
    In: International Journal Of Community Medicine And Public Health, Medip Academy, Vol. 9, No. 12 ( 2022-11-28), p. 4684-
    Abstract: Inhalational anesthetics have been used to induce and maintain general anaesthesia for more than 150 years. These anaesthetic agents are commonly used in the surgical and clinical practice solely and as a conjugant with other anaesthetics. Since inhalational anaesthetic agents develop amnesia, loss of awareness, and reduce reactions to painful surgical stimuli, they are an essential part of general anaesthesia. The choice of anaesthetic agent is based on the procedure's duration and type, patient characteristics, the attending anaesthesiologist’s preferences, and occasionally on institutional protocols. These medications are administered to the patient through the anesthetic circuit using a special vaporizer. The purpose of this research is to review the available information about inhalation anaesthetics: types, mechanism of action and adverse effects. Nitrous oxide is one of the earliest anaesthetic agents while isoflurane, sevoflurane, and desflurane are three commonly used inhalational anaesthetics. The low-solubility inhalation anaesthetics desflurane and sevoflurane have several clinical advantages over isoflurane, including rapid induction and faster recovery after prolonged treatment. However, isoflurane can sometimes be used effectively enough to match the induction and recovery times of other drugs. Inhalation anaesthetics work by suppressing inhibitory signals such as chloride channels and potassium channels and enhancing excitatory signals such as acetylcholine, muscarinic and nicotinic receptors, glutamate and serotonin in the central nervous system. Certain side effects including nausea, vomiting, malignant hyperthermia, post-operative cognitive impairment is associated with their use. More research is needed to further enhance the safety profile of available inhalation anaesthetics and can further lead to discovery of new, safe anaesthetics.
    Type of Medium: Online Resource
    ISSN: 2394-6040 , 2394-6032
    URL: Article
    DOI: 10.18203/2394-6040.ijcmph20223230
    Language: Unknown
    Publisher: Medip Academy
    Publication Date: 2022
    Location Call Number Limitation Availability
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  • 3
    Online Resource
    Online Resource
    Deep learning algorithms to improve COVID-19 classification based on CT images
    Institute of Advanced Engineering and Science ; 2022
    In:  Bulletin of Electrical Engineering and Informatics Vol. 11, No. 5 ( 2022-10-01), p. 2876-2885
    Details
    In: Bulletin of Electrical Engineering and Informatics, Institute of Advanced Engineering and Science, Vol. 11, No. 5 ( 2022-10-01), p. 2876-2885
    Abstract: In response to the growing threat posed by COVID-19, several initiatives have been launched to develop methods of halting the progression of the disease. In order to diagnose the COVID-19 infection, testing kits were utilized; however, the use of these kits is time-consuming and suffers from a lack of quality control measures. Computed tomography is an essential part of the diagnostic process in the treatment of COVID-19 (CT). The process of disease detection and diagnosis could be sped up with the help of automation, which would cut down on the number of exams that need to be carried out. A number of recently developed deep learning tools make it possible to automate the Covid-19 scanning process in CT scans and provide additional assistance. This paper investigates how to quickly identify COVID-19 using computational tomography (CT) scans, and it does so by using a deep learning technique that is derived from improving ResNet architecture. In order to test the proposed model, COVID-19 CT scans that include a patient-based split are utilized. The accuracy of the model’s core components is 98.1%, with specificity at 97% and sensitivity at 98.6%.
    Type of Medium: Online Resource
    ISSN: 2302-9285 , 2089-3191
    URL: Issue
    URL: Article
    DOI: 10.11591/eei.v11i5
    DOI: 10.11591/eei.v11i5.3802
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2022
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