Prediction of neuropathy, neuropathic pain and kinesiophobia in patients with type 2 diabetes and design of computerized clinical decision support systems by using artificial intelligence

被引：3
作者：
Ozdemir, Filiz [1 ]
Ari, Ali [2 ]
Kilcik, Melek Havva [1 ]
Hanbay, Davut [2 ]
Sahin, Ibrahim [3 ]
机构：
[1] Inonu Univ, Fac Hlth Sci, Dept Physiotherapy & Rehabil, TR-44280 Malatya, Turkey
[2] Inonu Univ, Fac Engn, Dept Comp Engn, TR-44280 Malatya, Turkey
[3] Inonu Univ, Fac Med, Dept Endocrinol & Metab Dis, TR-44280 Malatya, Turkey
来源：
MEDICAL HYPOTHESES | 2020年 / 143卷
关键词：
Neuropathy; Neuropathic pain; Kinesiophobia; Type; 2; diabetes; Artificial neural networks; TAMPA SCALE; PERIPHERAL NEUROPATHY; PHYSICAL-ACTIVITY; FEAR; MOVEMENT; DIAGNOSIS; EXERCISE; DISEASE; VERSION;
D O I：
10.1016/j.mehy.2020.110070
中图分类号：
R-3 [医学研究方法]; R3 [基础医学];
学科分类号：
1001 ;
摘要：
Exercise is a key component for prevention and treatment of type 2 diabetes. However, diabetes complications affect exercise habits. Computerized clinical decision support systems (CCDSSs) may help specialists improve their decision-making abilities in the management of diseases. We hypothesized that patients' diabetic neuropathy, neuropathic pain, and kinesiophobia will quickly be identified in the early stages by using the designed CCDSSs. It is thought that such systems will help in planning exercise programs for patients with diabetes and in maintaining the appropriate programs. Based on our hypothesis, we conclude that CCDSSs will also be effective in managing complications and movement dysfunctions occurring in the musculoskeletal system.
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页数：4
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