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1860796912634953728
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INTELEK Repository
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Online Access
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https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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| date |
2021-02-01 03:59:01
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Restricted Document
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10659
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UniSZA
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4728-01-FH05-FIK-21-50553.pdf
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Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML
like Gecko) Chrome/87.0.4280.141 Safari/537.36
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oai_dc
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https://intelek.unisza.edu.my/intelek/pages/view.php?ref=10659
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| spelling |
10659 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=10659 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Book Chapter application/pdf 8 1.6 Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML like Gecko) Chrome/87.0.4280.141 Safari/537.36 Skia/PDF m87 2021-02-01 03:59:01 4728-01-FH05-FIK-21-50553.pdf UniSZA Private Access Electronic healthcare system: Mental disorder assessment and intervention with self-treatment using rule-based techniques Almost one million people worldwide die by suicide each year. One of the main reasons is due to depression. Life stresses, high depressions, and anxiety are commonly prevalent in mental health problems. Early detection and recognition are in need to allow better treatment and prevention on mental disorders as well as other complications. However, some patients skip their checkup routine due to multiple hospital procedures and long-waiting process. Motivated with the fog computing as a recent technological advancement, this chapter aims to facilitate a new version of an online system on electronic Mental Assessment and Self-Treatment System (e-MAST) for all patients. This system provides patients with stress questionnaires, anxiety questionnaires, and depressive symptoms questionnaires generated using rule-based techniques. Besides, the sum of answers from the patients will be calculated using weighted sum method. This system offers life stress controls and self-treatment techniques while awaiting professional help. This system helps to increase the scientific community’s awareness of mental health and creates an opportunity to embrace a healthy generation of people. Also, this system can be used at all times, anywhere, and can be benefited by all toward smart hospital ideas. © Springer Nature Switzerland AG 2021. Springer Springer 453-479 Signals and Communication Technology
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| spellingShingle |
Electronic healthcare system: Mental disorder assessment and intervention with self-treatment using rule-based techniques
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| summary |
Almost one million people worldwide die by suicide each year. One of the main reasons is due to depression. Life stresses, high depressions, and anxiety are commonly prevalent in mental health problems. Early detection and recognition are in need to allow better treatment and prevention on mental disorders as well as other complications. However, some patients skip their checkup routine due to multiple hospital procedures and long-waiting process. Motivated with the fog computing as a recent technological advancement, this chapter aims to facilitate a new version of an online system on electronic Mental Assessment and Self-Treatment System (e-MAST) for all patients. This system provides patients with stress questionnaires, anxiety questionnaires, and depressive symptoms questionnaires generated using rule-based techniques. Besides, the sum of answers from the patients will be calculated using weighted sum method. This system offers life stress controls and self-treatment techniques while awaiting professional help. This system helps to increase the scientific community’s awareness of mental health and creates an opportunity to embrace a healthy generation of people. Also, this system can be used at all times, anywhere, and can be benefited by all toward smart hospital ideas. © Springer Nature Switzerland AG 2021.
|
| title |
Electronic healthcare system: Mental disorder assessment and intervention with self-treatment using rule-based techniques
|
| title_full |
Electronic healthcare system: Mental disorder assessment and intervention with self-treatment using rule-based techniques
|
| title_fullStr |
Electronic healthcare system: Mental disorder assessment and intervention with self-treatment using rule-based techniques
|
| title_full_unstemmed |
Electronic healthcare system: Mental disorder assessment and intervention with self-treatment using rule-based techniques
|
| title_short |
Electronic healthcare system: Mental disorder assessment and intervention with self-treatment using rule-based techniques
|
| title_sort |
electronic healthcare system: mental disorder assessment and intervention with self-treatment using rule-based techniques
|