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Cited by in CrossRef
For: Rahmani Katigari M, Ayatollahi H, Malek M, Kamkar Haghighi M. Fuzzy expert system for diagnosing diabetic neuropathy. World J Diabetes 2017; 8(2): 80-88 [PMID: 28265346 DOI: 10.4239/wjd.v8.i2.80]
URL: https://www.wjgnet.com/1948-9358/full/v8/i2/80.htm
Number Citing Articles
1
Tahere Talebi Azad Boni, Haleh Ayatollahi, Mostafa Langarizadeh. A Clinical Decision Support System for Assessing the Risk of Cardiovascular Diseases in Diabetic Hemodialysis PatientsCurrent Diabetes Reviews 2020; 16(3): 262 doi: 10.2174/1573399815666190531100012
2
Danijela Tasić, Katarina Đorđević, Slobodanka Galović, Draško Furundžić, Zorica Dimitrijević, Sonja Radenković. Is It Possible to Analyze Kidney Functions, Electrolytes and Volemia Using Artificial Intelligence?Diagnostics 2022; 12(12): 3131 doi: 10.3390/diagnostics12123131
3
Avinash Sharma, K.D.V. Prasad, Sadashiva V. Chakrasali, Dankan Gowda V, Chanakya Kumar, Abhay Chaturvedi, A. Azhagu Jaisudhan Pazhani. Computer vision based healthcare system for identification of diabetes & its types using AIMeasurement: Sensors 2023; 27: 100751 doi: 10.1016/j.measen.2023.100751
4
Juan Li, Jin Huang, Lanbo Zheng, Xia Li. Application of Artificial Intelligence in Diabetes Education and Management: Present Status and Promising ProspectFrontiers in Public Health 2020; 8 doi: 10.3389/fpubh.2020.00173
5
B.V. Baiju, D. John Aravindhar. Disease Influence Measure Based Diabetic Prediction with Medical Data Set Using Data Mining2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT) 2019; : 1 doi: 10.1109/ICIICT1.2019.8741452
6
Negar Asaad Sajadi, Hossein Mahjub, Shiva Borzouei, Maryam Farhadian. Thyroid disorder diagnosis based on Mamdani fuzzy inference system classifierKoomesh Journal 2020; 22(1): 107 doi: 10.29252/koomesh.22.1.107
7
Gopal Bhagwan Khodve, Sugato Banerjee. Artificial Intelligence in Efficient Diabetes CareCurrent Diabetes Reviews 2023; 19(9) doi: 10.2174/1573399819666220905163940
8
Aditi Kulkarni, Archana R Thool, Sachin Daigavane. Understanding the Clinical Relationship Between Diabetic Retinopathy, Nephropathy, and Neuropathy: A Comprehensive ReviewCureus 2024;  doi: 10.7759/cureus.56674
9
German Villavicencio Villanueva, Rolando Javier Berru Beltran, Romulo Rogery Vargas Garcia. Software Applications in the Diagnosis of Chronic Diseases: A Systematic Review Across a 10-year Period2021 IEEE Engineering International Research Conference (EIRCON) 2021; : 1 doi: 10.1109/EIRCON52903.2021.9613537
10
Md Altab Hossin, Md Safiqul Islam, Sani Abubakar Hassan, Chiagoziem Chima Ukwuoma, Most. Miftahul Jannat Nuri, Md. Tofael Alam Siddiquee. Artificial Intelligence: A Promising Prospect for Better Management of Diabetic Patients2022 5th International Conference on Artificial Intelligence and Big Data (ICAIBD) 2022; : 470 doi: 10.1109/ICAIBD55127.2022.9820277
11
Kanyarat Bussaban, Phanu Waraporn, Pattarapan Roonrakwit, Chanyapat Sangsuwan, Kunyanuth Kularbphettong. Development of a healthcare monitoring diabetes mobile application for community2022 International Conference on Computational Science and Computational Intelligence (CSCI) 2022; : 1812 doi: 10.1109/CSCI58124.2022.00323
12
Olatunji Mumini Omisore, Bolanle Adefowoke Ojokoh, Asegunoluwa Eunice Babalola, Tobore Igbe, Yetunde Folajimi, Zedong Nie, Lei Wang. An affective learning-based system for diagnosis and personalized management of diabetes mellitusFuture Generation Computer Systems 2021; 117: 273 doi: 10.1016/j.future.2020.10.035
13
Ramesh Chundi, Sasikala G., Praveen Kumar Basivi, Anitha Tippana, Vishwanath R. Hulipalled, Prabakaran N., Jay B. Simha, Chang Woo Kim, Vijay Kakani, Visweswara Rao Pasupuleti. Exploring diabetes through the lens of AI and computer vision: Methods and future prospectsComputers in Biology and Medicine 2025; 185: 109537 doi: 10.1016/j.compbiomed.2024.109537
14
Rasha Muthana, Nora Ahmed, Asaad Al shareefi. The Recent Studies Utilizing Computer Technologies for Covid 19 Transmission, Diagnosis and Infection ControlJournal of Physics: Conference Series 2021; 1999(1): 012122 doi: 10.1088/1742-6596/1999/1/012122
15
Bitan Pratihar, Madhusree Kundu. Proceedings of 2019 IEEE Region 10 Symposium (TENSYMP) Classification and Prediction of Cardiovascular Autonomic Neuropathy Severity Using Fuzzy Logic-Based Expert System2019 IEEE Region 10 Symposium (TENSYMP) 2019; : 692 doi: 10.1109/TENSYMP46218.2019.8971285
16
Thomas Wojda, Carlie Hoffman, Jeffrey Jackson, Traci Conti, John Maier. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats - Volume 1Artificial Intelligence 2023; 19 doi: 10.5772/intechopen.111498
17
Irene Dankwa-Mullan, Marc Rivo, Marisol Sepulveda, Yoonyoung Park, Jane Snowdon, Kyu Rhee. Transforming Diabetes Care Through Artificial Intelligence: The Future Is HerePopulation Health Management 2019; 22(3): 229 doi: 10.1089/pop.2018.0129
18
Daniella Silva Oggiam, Juliana Vallim Jorgetto, Guilherme Luiz Chinini, Denise Myuki Kusahara, Mônica Antar Gamba. Distal Symmetric Polyneuropathy Pain in Diabetes MellitusAquichan 2021; 21(3): 1 doi: 10.5294/aqui.2021.21.3.7
19
Nureni Ayofe Azeez, Michael Aja Okwe, Jonathan Oluranti, Sanjay Misra, Ravin Ahuja. Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019)Lecture Notes in Networks and Systems 2020; 121: 533 doi: 10.1007/978-981-15-3369-3_40
20
Pratibha Rani, Arunodaya Raj Mishra, Abbas Mardani. An extended Pythagorean fuzzy complex proportional assessment approach with new entropy and score function: Application in pharmacological therapy selection for type 2 diabetesApplied Soft Computing 2020; 94: 106441 doi: 10.1016/j.asoc.2020.106441
21
Ismail Bouajaja, Omar Bouattane, Oussama Barakat, Stephan Robert-Nicoud. Towards a Generic Data-Driven Model for Optimal Health Service2024 International Conference on Intelligent Systems and Computer Vision (ISCV) 2024; : 1 doi: 10.1109/ISCV60512.2024.10620078
22
Kanyarat Bussaban, Kanyarat Bussaban, Nareenart Ruksuntorn, Jaruwan Chutrtong, Chanyapat Sangsuwan. Development of a Healthcare Monitoring Diabetes Mobile Application for CommunityWSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE 2022; 19: 222 doi: 10.37394/23208.2022.19.24
23
Mingxia Xiao, Tingting Jin, Anyao Zhang, Xiangbo Zhang, Xiaojing Tang. Research on Diabetes Classification based on R-R Interval and Main Weight Amplitude Ratio Percussion Entropy Algorithm2024 Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) 2024; : 635 doi: 10.1109/IPEC61310.2024.00113