• Journal of The Korean Society of Integrative Medicine
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• v.8 no.3
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• pp.181-188
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• 2020

Purpose : The purpose of this study is to compare the effects on abdominal muscle thickness and breathing by applying trunk strength exercise and deep stabilization exercise along with breathing exercise, which is the main respiratory muscle during breathing, to present an efficient exercise method with diaphragm breathing. Methods : This study was performed on normal 6 females and 14 males subjects. They were divided into 2 groups which trunk strength exercise and deep stabilization exercise group. The trunk strength exercise group (TSE) attended prone press-up, crunch and pelvic tiling. The deep stabilization exercise group (DSE) attended abdominal drawing, horizontal side-support and bridging exercise. Breathing exercise was performed for each set break time for 1 minute. Results : First, in the comparison of the change in the thickness of the abdominal muscle between the trunk strength training group and the deep stabilization group before and after exercise, there was a statistically significant difference in the comparison of transverse abdominis (TrA), rectus femoris (RF), external oblique (EO), internal oblique (IO) (p<.05). However, there was no significant difference in any comparison between groups (p>.05). Second, in the comparison of changes in respiratory function between the trunk strength exercise group and the deep stabilization exercise group before and after exercise, there were statistically significant differences in the exerted forced vital capacity (FVC), forced expiratory volume at one second (FEV₁), peak expiratory flow (PEF) in the comparison before and after the experiment (p<.05). However, there was no significant difference in any comparison between groups (p>.05). Conclusion : As a result of this study, it can be said that both trunk strength exercises and deep stabilization exercises along with diaphragm breathing are exercises that strengthen deep and superficial muscles, and have a positive effect on breathing function as well as muscle strength. However, it is not known which exercise was more effective, and because it was combined with breathing exercise, the interference effect appeared.

• Korean Journal of Clinical Pharmacy
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• v.26 no.3
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• pp.207-212
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• 2016

Objective: Prescription rate of dabigatran and rivaroxaban, which are the direct oral anticoagulants (DOAC), has increased. We have analyzed the prescription trend and medication use of dabigatran and rivaroxaban in patients with non-valvular atrial fibrillation (NVAF). Methods: It was retrospectively studied from September 2012 to April 2014 using the electronic medical records and the progress notes. Patients with NVAF (n=424) were evaluated on the medication use, prescribing preferences, adverse drug reactions (ADRs) and the availability of prescription reimbursement of dabigatran (n=210) and rivaroxaban (n=214). Results: Dabigatran was prescribed higher than rivaroxaban (23.3% versus 7.5%, p<0.001) in the neurology department, but rivaroxaban was prescribed higher compared to dabigatran in the cardiology department (87.4% versus 74.3%, p<0.001). Dabigatran was prescribed more than rivaroxaban in high risk patients with CHADS2 score ${\geq}3$ (44.3% versus 31.3%, p=0.006). Dabigatran patients seemed to have more ADRs than patients with rivaroxaban (25.2% versus 11.2%, p<0.001), but no serious thrombotic events and bleeding were found. Only 35.6% (n=151) were eligible for prescription reimbursement by the National Health Insurance (NHI). Bridging therapy (86, 31.5%) and direct-current cardioversion (57, 20.2%) were main reasons of ineligibility for reimbursement. Conclusion: Prescription preferences were present in choosing either dabigatran or rivaroxaban for patients with NVAF. Inpatient protocols and procedures considering patient-factors in NVAF need to be developed.

• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.225-234
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• 2023

In this era of information and communication technology (ICT), tremendous improvements have been witnessed in our daily lives. The impact of these technologies is subjective and negative or positive. For instance, ICT has brought a lot of ease and versatility in our lifestyles, on the other hand, its excessive use brings around issues related to physical and mental health etc. In this study, we are bridging these both aspects by proposing the idea of AI based mental healthcare (AIMS). In this regard, we aim to provide a platform where the patient can register to the system and take consultancy by providing their assessment by means of a chatbot. The chatbot will send the gathered information to the machine learning block. The machine learning model is already trained and predicts whether the patient needs a treatment by classifying him/her based on the assessment. This information is provided to the mental health practitioner (doctor, psychologist, psychiatrist, or therapist) as clinical decision support. Eventually, the practitioner will provide his/her suggestions to the patient via the proposed system. Additionally, the proposed system prioritizes care, support, privacy, and patient autonomy, all while using a friendly chatbot interface. By using technology like natural language processing and machine learning, the system can predict a patient's condition and recommend the right professional for further help, including in-person appointments if necessary. This not only raises awareness about mental health but also makes it easier for patients to start therapy.