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For: Parthasarathy P, Vivekanandan S. Urate crystal deposition, prevention and various diagnosis techniques of GOUT arthritis disease: a comprehensive review. Health Inf Sci Syst 2018;6:19. [PMID: 30333920 DOI: 10.1007/s13755-018-0058-9] [Cited by in Crossref: 19] [Cited by in F6Publishing: 7] [Article Influence: 4.8] [Reference Citation Analysis]
Number Citing Articles
1 Zeng Y, Liu D, Wang Y. Identification of phosphorylation site using S-padding strategy based convolutional neural network. Health Inf Sci Syst 2022;10. [DOI: 10.1007/s13755-022-00196-6] [Reference Citation Analysis]
2 Babu M, Jesudas T. An artificial intelligence‐based smart health system for biological cognitive detection based on wireless telecommunication. Computational Intelligence. [DOI: 10.1111/coin.12513] [Reference Citation Analysis]
3 Tian J, Zhou D, Xiang L, Liu X, Zhang H, Wang B, Xie B. MiR-223-3p inhibits inflammation and pyroptosis in monosodium urate-induced rats and fibroblast-like synoviocytes by targeting NLRP3. Clin Exp Immunol 2021;204:396-410. [PMID: 33608866 DOI: 10.1111/cei.13587] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 Ramanathan S, Ramasundaram M. Accurate computation: COVID-19 rRT-PCR positive test dataset using stages classification through textual big data mining with machine learning. J Supercomput 2021;:1-15. [PMID: 33424118 DOI: 10.1007/s11227-020-03586-3] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Parthasarathy P, Vivekanandan S. Biocompatible TiO2-CeO2 Nano-composite synthesis, characterization and analysis on electrochemical performance for uric acid determination. Ain Shams Engineering Journal 2020;11:777-85. [DOI: 10.1016/j.asej.2019.11.011] [Cited by in Crossref: 7] [Cited by in F6Publishing: 1] [Article Influence: 3.5] [Reference Citation Analysis]
6 Kumar MM, Alli Rani A, Sundaravazhuthi V. A computational algorithm based on biogeography‐based optimization method for computing power system security constrains with multi FACTS devices. Computational Intelligence 2020;36:1493-511. [DOI: 10.1111/coin.12282] [Cited by in Crossref: 4] [Article Influence: 2.0] [Reference Citation Analysis]
7 Vijayarajeswari R, Parthasarathy P, Vivekanandan S, Basha AA. Classification of mammogram for early detection of breast cancer using SVM classifier and Hough transform. Measurement 2019;146:800-5. [DOI: 10.1016/j.measurement.2019.05.083] [Cited by in Crossref: 41] [Cited by in F6Publishing: 6] [Article Influence: 13.7] [Reference Citation Analysis]
8 Vijayarajeswari R, Nagabhushan M, Parthasarathy P. An Enhanced Symptom Clustering with Profile Based Prescription Suggestion in Biomedical application. J Med Syst 2019;43:172. [PMID: 31065809 DOI: 10.1007/s10916-019-1311-8] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
9 Venkatasalam K, Rajendran P, Thangavel M. Improving the Accuracy of Feature Selection in Big Data Mining Using Accelerated Flower Pollination (AFP) Algorithm. J Med Syst 2019;43:96. [PMID: 30852692 DOI: 10.1007/s10916-019-1200-1] [Cited by in Crossref: 2] [Article Influence: 0.7] [Reference Citation Analysis]
10 Basha AA, Vivekanandan S, Parthasarathy P. Blood Glucose Regulation for Post-Operative Patients with Diabetics and Hypertension Continuum: A Cascade Control-Based Approach. J Med Syst 2019;43:95. [PMID: 30847581 DOI: 10.1007/s10916-019-1224-6] [Cited by in Crossref: 4] [Article Influence: 1.3] [Reference Citation Analysis]
11 Thillaikkarasi R, Saravanan S. An Enhancement of Deep Learning Algorithm for Brain Tumor Segmentation Using Kernel Based CNN with M-SVM. J Med Syst 2019;43:84. [PMID: 30810822 DOI: 10.1007/s10916-019-1223-7] [Cited by in Crossref: 18] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]
12 Chandrasekaran G, Periyasamy S, Panjappagounder Rajamanickam K. Minimization of test time in system on chip using artificial intelligence-based test scheduling techniques. Neural Comput & Applic 2020;32:5303-12. [DOI: 10.1007/s00521-019-04039-6] [Cited by in Crossref: 36] [Cited by in F6Publishing: 13] [Article Influence: 12.0] [Reference Citation Analysis]
13 Punarselvam E, Suresh P. Non-Linear Filtering Technique Used for Testing the Human Lumbar Spine FEA Model. J Med Syst 2019;43:34. [PMID: 30612250 DOI: 10.1007/s10916-018-1148-6] [Cited by in Crossref: 4] [Article Influence: 1.3] [Reference Citation Analysis]
14 Shanmuga Sundaram P, Santhiyakumari N. An Enhancement of Computer Aided Approach for Colon Cancer Detection in WCE Images Using ROI Based Color Histogram and SVM2. J Med Syst 2019;43. [DOI: 10.1007/s10916-018-1153-9] [Cited by in Crossref: 7] [Cited by in F6Publishing: 3] [Article Influence: 2.3] [Reference Citation Analysis]
15 Sakthivelan RG, Rajendran P, Thangavel M. A new approach to classify and rank events based videos based on Event of Detection. J Med Syst 2018;43:13. [PMID: 30536139 DOI: 10.1007/s10916-018-1132-1] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]