Machine learning-based risk prediction model for cardiovascular disease using a hybrid dataset

Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia

(2021) Ahmedbahaaaldin Ibrahem Ahmed Osman et al.   Ain Shams Engineering Journal

Risk factors associated with cardiovascular disease among adult Nevadans

(2021) Dieu-My T. Tran et al.   PLoS One

Heart Disease Risk Prediction Using Machine Learning Classifiers with Attribute Evaluators

(2021) Karna Vishnu Vardhana Reddy et al.   Applied Sciences-Basel

Machine learning approach to predict leaf colour change in Fagus sylvatica L. (Spain)

(2021) Diego Gómez et al.   AGRICULTURAL AND FOREST METEOROLOGY

A Multilayer Perceptron Neural Network Model to Classify Hypertension in Adolescents Using Anthropometric Measurements: A Cross-Sectional Study in Sarawak, Malaysia

(2021) Soo See Chai et al.   Computational and Mathematical Methods in Medicine

Detection and diagnosis of chronic kidney disease using deep learning-based heterogeneous modified artificial neural network

(2020) Fuzhe Ma et al.   Future Generation Computer Systems-The International Journal of eScience

Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions

(2019) Guomin Huang et al.   JOURNAL OF HYDROLOGY

Machine learning algorithm validation with a limited sample size

(2019) Andrius Vabalas et al.   PLoS One

Statistical and Machine Learning forecasting methods: Concerns and ways forward

(2018) Spyros Makridakis et al.   PLoS One

Deep learning approach for active classification of electrocardiogram signals

(2016) M.M. Al Rahhal et al.   INFORMATION SCIENCES

Bayesian Naïve Bayes classifiers to text classification

(2016) Shuo Xu   JOURNAL OF INFORMATION SCIENCE

A Machine Learning Approach for Specification of Spinal Cord Injuries Using Fractional Anisotropy Values Obtained from Diffusion Tensor Images

(2014) Bunheang Tay et al.   Computational and Mathematical Methods in Medicine

A Machine Learning System to Improve Heart Failure Patient Assistance

(2014) Gabriele Guidi et al.   IEEE Journal of Biomedical and Health Informatics