The Development to Screening Device for Diabetic Peripheral Neuropathy
Keywords:
Diabetes patient , Machine learning, Predict, ScreeningAbstract
The purposes of this research and development were 1) to design and Development to 2) The evaluation of device with validity and satisfaction assessment of Screening Device for Diabetic Peripheral Neuropathy by TRIZ theory to develop the digital photographic foot posture and development system with machine learning for Image processing and diabetes risk assessment with Risk Score. The sampling are diabetic patient and normal people total 1,000 record. The research found that the device is strong safety that supports more than 200 kilograms. The device can screen the diabetic patients with numbness in feet correct 100% (Sensitivity) and screening normal person that it doesn’t numbness in feet correct 100% (Specificity). The results of the satisfaction assessment of the equipment in the view of the staff, found that there was a high level present 4.42 and The results of the satisfaction of the device in the view of diabetic patients, found that there was a high level present 4.45.
References
Burget, R., Karasek, J., Smekal, Z., Uher, V. and Dostal, O. 2010. RapidMiner Image Processing Extension: A Platform for Collaborative Research, pp. 1-5. In Conference on Telecommunication and Signal Processing. Vienna, Austria.
Bureau of Non-communicable Diseases, Department of Disease Control Ministry of Public Health (ThaiNCD). 2018. Guidelines for the prevention and control of NCDs Chronically based on community Risk Reduction Community Reduce chronic non-communicable diseases. Motion Art Co., Ltd., Bangkok. Available source: http://ihppthaigov.net/DB/publication/attachbook/200/chapter1.pdf, February 15, 2020. (In Thai)
Diabetes Association of Thailand under the Patronage of Her Royal Highness Princess Maha Chakri Sirindhorn (DMTHAI). 2014. Practice Guidelines for Diabetes B.E. 2014. Srimuang Publication Co., Ltd., Bangkok. Available source: https://www.slideshare.net/UtaiSukviwatsirikul/cpg-dm-2014, January 7, 2020. (In Thai)
Diabetes Association of Thailand under the Patronage of Her Royal Highness Princess Maha Chakri Sirindhorn (DMTHAI). 2017. Clinical Practice Guideline for Diabetes 2017. Romyen Media Co., Ltd., Pathum Thani. Available source: https://www.dmthai.org/attachments/article/443/guideline-diabetes-care-2017.pdf, October 30, 2019. (In Thai)
Gibson, T.B., Driver, V.R., Wrobel, J.S., Christina, J.R., Bagalman, E., Defrancis, R., Garoufalis, G., Carls, G.S. and Gatwood, J. 2013. Podiatrist care and outcomes for patients with diabetes and foot ulcer. International Wound Journal 4(2): 641-647.
Han, J., Rodriguze, J.C. and Beheshti, M. 2008. Diabetes Data Analysis and Prediction Model Discovery Using RapidMiner, pp. 96-99. In Future Generation Communication and Networking. IEEE Computer Society, Hainan Island, China.
Kaeutunkum, K. and Punyayun, K. 2013. Podoscope: Foot Care for Diabetes. Journal of Health Science 22(1): 187-195.
Keesukphan, P., Chanprasertyothin, S., Ongphiphadhanakul, B. and Puavilai, G. 2007. The development and validation of diabetes risk score for high-risk Thai adults. Journal of the Medical Association of Thailand 90(1): 149-54.
Koklu, M. and Unal, Y. 2013. Analysis of a Population of Diabetic Patients Databases with Classifiers. International Journal of Biomedical and Biological Engineering 7(1): 481-483.
Micheletti, M.J., Hendrick, M.A., Khan, F.N., Ziemer, D.C., and Pasuel, F.J. 2016. Current and Next Generation Portable Screening Devices for Diabetic Retinopathy. Journal of Diabetes Science and Technology 10(2): 259-300.
Nitiyanan, V. 2017. Recognize and Understand Diabetes, pp 12-16. In Medical Faculty from the Diabetes Association of Thailand, ed. Stay Away from Diabetes. Amarin Health, Bangkok. (In Thai)
Patcharawongsakda, E. 2014. Chapter 6 Clustering, pp. 84-89. In Bangwag, K., ed. Data Mining with RapidMiner Studio 6. (8thed). Asia Digital Printing Company Ltd, Bangkok. (In Thai)
Patcharawongsakda, E. 2015. Introduction to CRISP-DM, pp. 50-53. In Bangwag, K., ed. Introduction to Business Analytics with RapidMiner Studio 6. (2thed). Asia Digital Printing Company Ltd, Bangkok. (In Thai)
Perveen, S., Shahbaz, M., Guergachi, A. and Keshavjee, K. 2016. Performance Analysis of Data Mining Classification Techniques to Predict Diabetes. Procedia Computer Science 82: 115-121.
Petsarb, K., Apaiwong, C., Phairoh, C., Rattanakajornsak, R., Kajornpredanon, Y. and Daochai, S. (2012). Low cost and customized plantar pressure analyzer for foot pressure image in rehabilitation foot clinic, pp. 1-4. In 5th 2012 Biomedical Engineering International Conference (BMEiCON 2012). Ubon Ratchathani, Thailand. (in Thai)
Pholanan, T., Benjawattanaphon, W. and Dissaman, W. 2011. Innovation Technology, pp. 41-43. In Chulek, L., ed. 40 Principles TRIZ keys to technical innovation. Technology Promotion Association (Thailand-Japan), Bangkok. (in Thai)
Russ, J. 2011. The Image Processing Handbook. Taylor & Francis Group, USA. Available source: https://www.routledge.com/The-Image-Processing-Handbook/Russ-Neal/p/book/9781138747494, October 30, 2019.
Sakunasing, J. 2012. Effectiveness of Foot Massage to Reduce Foot Neuropathy in the Diabetic Patients. Roi-Et, Kalasin, Mahasarakham Hospital Medical Journal 19(1): 36-43.
Sawada, H., Uchida, K., Danjo, J. and Kakamura, Y. 2020. Development of a Non-invasive Screening Device of Diabetic Peripheral Neuropathy Based on the Perception of Micro-vibration, pp. 11-16. In Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). Biomedical Engineering Institute, Chiang Mai University. (in Thai)
Srinapakorn, V. and Derojanavong, C. 2003. Insulin DKA or HHS, pp 212-215. In Srinapakorn, V. and Derojanavong, C., eds. Insulin. Endocrine Society of Thailand, Ruen Kaew Printing, Bangkok. (in Thai)
Supawatanakul, D. 2011. A Development of Local Wisdom Coconut Shell Foot Massage of DuLaPiThaN Model for a Reduction of Sensory Loss in Diabetic Patients. Doctor of Philosophy (Technology Management), Phranakhon Rajabhat University. (in Thai)
Wintergert, M. and Mishra, D., Hartmann, L., Shah, P., Konana, V., Sagar, P., Berger, M., Murali, K., Holz, F., Shanmugam, M. and Finger, R. 2020. Diabetic Retinopathy Screening Using Smartphone-Based Fundus Imaging in India. Ophthalmolody ScienceDirect Science 127(11): 1529-1538.
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