Deep neural networks to predict diabetic retinopathy

A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

(2020) Sweta Bhattacharya et al.   Electronics

Early Detection of Diabetic Retinopathy Using PCA-Firefly Based Deep Learning Model

(2020) Thippa Reddy Gadekallu et al.   Electronics

Using decision trees to understand the influence of individual- and neighborhood-level factors on urban diabetes and asthma

(2019) Hillary A. Cuesta et al.   HEALTH & PLACE

Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading

(2019) Jaakko Sahlsten et al.   Scientific Reports

Sensors Driven AI-Based Agriculture Recommendation Model for Assessing Land Suitability

(2019) Durai Raj Vincent et al.   SENSORS

Defining Phenotypes in Diabetic Nephropathy: a novel approach using a cross-sectional analysis of a single centre cohort

(2018) Rosa M. Montero et al.   Scientific Reports

On Detection of Sybil Attack in Large-Scale VANETs Using Spider-Monkey Technique

(2018) Celestine Iwendi et al.   IEEE Access

Predicting Diabetes Mellitus With Machine Learning Techniques

(2018) Quan Zou et al.   Frontiers in Genetics

Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains

(2017) Clara Happ et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Automated Identification of Diabetic Retinopathy Using Deep Learning

(2017) Rishab Gargeya et al.   OPHTHALMOLOGY

Hybrids of support vector machine wrapper and filter based framework for malware detection

(2016) Shamsul Huda et al.   Future Generation Computer Systems-The International Journal of eScience

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

IntelliHealth: A medical decision support application using a novel weighted multi-layer classifier ensemble framework

(2016) Saba Bashir et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Evolving support vector machines using fruit fly optimization for medical data classification

(2016) Liming Shen et al.   KNOWLEDGE-BASED SYSTEMS

Efficient k NN classification algorithm for big data

(2016) Zhenyun Deng et al.   NEUROCOMPUTING

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

An ensemble-based system for automatic screening of diabetic retinopathy

(2014) Bálint Antal et al.   KNOWLEDGE-BASED SYSTEMS

DREAM: Diabetic Retinopathy Analysis Using Machine Learning

(2014) Sohini Roychowdhury et al.   IEEE Journal of Biomedical and Health Informatics

Global Prevalence and Major Risk Factors of Diabetic Retinopathy

(2012) J. W. Y. Yau et al.   DIABETES CARE

Neural Network Algorithm for Designing FIR Filters Utilizing Frequency-Response Masking Technique

(2009) Xiao-Hua Wang et al.   JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY

A multiscale neural network learning paradigm for financial crisis forecasting

(2009) Lean Yu et al.   NEUROCOMPUTING