Mining of multiple ailments correlated to diabetes mellitus
暂无分享,去创建一个
R. Rajender | Nilambar Sethi | Shiva Shankar Reddy | Shiva Shankar Reddy | Nilambar Sethi | R. Rajender
[1] Y Ichioka,et al. Parallel distributed processing model with local space-invariant interconnections and its optical architecture. , 1990, Applied optics.
[2] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[3] E. Dereniak,et al. Gaussian profile estimation in one dimension. , 2007, Applied optics.
[4] D. J. Hamilton,et al. Simulating and predicting blood glucose levels for improved diabetes healthcare , 2008 .
[5] Xun Xu,et al. Deep multiple instance learning for automatic detection of diabetic retinopathy in retinal images , 2017, IET Image Process..
[6] Mehrbakhsh Nilashi,et al. An analytical method for diseases prediction using machine learning techniques , 2017, Comput. Chem. Eng..
[7] Hongwei Guo,et al. A Simple Algorithm for Fitting a Gaussian Function [DSP Tips and Tricks] , 2011, IEEE Signal Processing Magazine.
[8] N. Sneha,et al. Analysis of diabetes mellitus for early prediction using optimal features selection , 2019, Journal of Big Data.
[9] J. Coresh,et al. Prevalence of chronic kidney disease in the United States. , 2007, JAMA.
[10] Kunihiko Fukushima,et al. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position , 1980, Biological Cybernetics.
[11] F. Hu,et al. Associations of diet with albuminuria and kidney function decline. , 2010, Clinical journal of the American Society of Nephrology : CJASN.
[12] B. Dhomse Kanchan,et al. Study of machine learning algorithms for special disease prediction using principal of component analysis , 2016, 2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC).
[13] M. Morin,et al. Propagation of super-Gaussian field distributions , 1992 .
[14] Min Chen,et al. Disease Prediction by Machine Learning Over Big Data From Healthcare Communities , 2017, IEEE Access.
[15] G. M. Nasira,et al. Prediction of Heart Diseases and Cancer in Diabetic Patients Using Data Mining Techniques , 2015 .
[16] Gajendra P. S. Raghava,et al. BMC Bioinformatics BioMed Central Methodology article Machine learning techniques in disease forecasting: a case study on rice blast prediction , 2006 .
[17] Shahebaz Ahmed Khan,et al. Co- Disease Prediction using Multileyer Perceptron and Classification from Diabetic Medical Data Sets , 2018, International Journal of Engineering & Technology.
[18] Thippa Reddy Gadekallu,et al. An Efficient Attribute Reduction and Fuzzy Logic Classifier for Heart Disease and Diabetes Prediction , 2018 .
[19] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[20] S. Edward Rajan,et al. Diagnosis of diabetic retinopathy by employing image processing technique to detect exudates in retinal images , 2014, IET Image Process..
[21] Hongwei Guo,et al. A Simple Algorithm for Fitting a Gaussian Function , 2012 .
[22] Yeshvendra K. Singh,et al. Heart Disease Prediction System Using Random Forest , 2016 .
[23] Ruo-Ping Han,et al. Disease prediction with different types of neural network classifiers , 2016, Telematics Informatics.
[24] Dilip Singh Sisodia,et al. Prediction of Diabetes using Classification Algorithms , 2018 .