"Survey of Machine Learning Algorithms for Disease Diagnostic"
written by Meherwar Fatima, Maruf Pasha,
published by Journal of Intelligent Learning Systems and Applications, Vol.9 No.1, 2017
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Machine learning to detect signatures of disease in liquid biopsies–a user's guide
[2] Review on plantar data analysis for disease diagnosis
Biocybernetics and Biomedical Engineering, 2018
[3] Machine learning in heart failure: ready for prime time
[4] Prediction of Diabetes using Classification Algorithms
Procedia Computer Science, 2018
[5] Identification and isolation of antimicrobial compounds from the flower extract of Hibiscus rosa-sinensis L: In silico and in vitro approaches
Microbial Pathogenesis, 2018
[6] Machine learning algorithms: a background artifact
[7] Recognizing Diseases from Physiological Time Series Data Using Probabilistic Model
Knowledge Science, Engineering and Management, 2018
[8] Prediction of Liver Diseases Based on Machine Learning Technique for Big Data
The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018), 2018
[10] Computer-Assisted Frameworks for Classification of Liver, Breast and Blood Neoplasias via Neural Networks: a Survey based on Medical Images
Neurocomputing, 2018
[11] A mobile application based decision support system using oxygen saturation and pulse rate
[12] Data mining for dengue hemorrhagic fever (DHF) prediction with naive Bayes method
[13] Predict the Risk of Cardiovascular Diseases in the Future Using Deep Learning
[14] Early Diabetes Prediction Using Voting Based Ensemble Learning
Advances in Computing and Data Sciences, 2018
[15] Machine Learning in Predicting Hemoglobin Variants
[16] A framework for tuberculosis drug resistance classification based on deep transfer learning
[17] Regression analysis for LED color detection of visual-MIMO system
Optics Communications, 2018
[18] Artificial intelligence: a new clinical support tool for stress echocardiography
Expert Review of Medical Devices, 2018
[19] Machine Learning for Drugs Prescription
Intelligent Data Engineering and Automated Learning – IDEAL 2018, 2018
[20] Análisis de readmisión hospitalaria de pacientes diabéticos mediante aprendizaje computacional
[21] Application of data mining methods in diabetes prediction
[22] Machine learning techniques for classification of diabetes and cardiovascular diseases
[23] Big data management with machine learning inscribed by domain knowledge for health care
[24] Prof., K.(2017)
[25] Classification of Liver Data using a New Algorithm
[26] Determining Cervical Cancer Possibility by Using Machine Learning Methods
[27] Analysis of Data Mining Tools for Disease Prediction
[28] Classification and analysis of human activities
[29] Classification of Dengue Gene Expression Using Entropy-Based Feature Selection and Pruning on Neural Network
Intelligent Systems Design and Applications, 2017
[30] Longitudinal Study-Based Dementia Prediction for Public Health
International Journal of Environmental Research and Public Health, 2017
[31] Machine Learning Classification Techniques for Heart Disease Prediction: A Review