Machine learning techniques for classification of diabetes and cardiovascular diseases
This paper presents the overview of machine learning techniques in classification of
diabetes and cardiovascular diseases (CVD) using Artificial Neural Networks (ANNs) and …
diabetes and cardiovascular diseases (CVD) using Artificial Neural Networks (ANNs) and …
Application of Neural Networks for classification of Patau, Edwards, Down, Turner and Klinefelter Syndrome based on first trimester maternal serum screening data …
A Catic, L Gurbeta, A Kurtovic-Kozaric… - BMC medical …, 2018 - Springer
Abstract Background The usage of Artificial Neural Networks (ANNs) for genome-enabled
classifications and establishing genome-phenotype correlations have been investigated …
classifications and establishing genome-phenotype correlations have been investigated …
Classification of stress recognition using artificial neural network
This paper presents the results of a study developing expert system to support stress
recognition based on Artificial Neural Network (ANN). Developed ANN is trained using data …
recognition based on Artificial Neural Network (ANN). Developed ANN is trained using data …
Artificial neural networks in the discrimination of Alzheimer's disease using biomarkers data
A Aljović, A Badnjević, L Gurbeta - 2016 5th Mediterranean …, 2016 - ieeexplore.ieee.org
This paper presents the results of a study developing artificial neural network system (ANN)
for classification of Alzheimer's disease (AD) and healthy patients. The classification is done …
for classification of Alzheimer's disease (AD) and healthy patients. The classification is done …
Classification of asthma using artificial neural network
This paper presents a system for classification of asthma based on artificial neural network.
A total of 1800 Medical Reports were used for neural network training. The system was …
A total of 1800 Medical Reports were used for neural network training. The system was …
Telemetry system for diagnosis of asthma and chronical obstructive pulmonary disease (COPD)
E Granulo, L Bećar, L Gurbeta, A Badnjević - Internet of Things …, 2016 - Springer
For people who live in rural or remote areas, or have a limited possibility of movement,
disease is diagnosed late in the course, which unfortunately often results in death. In order …
disease is diagnosed late in the course, which unfortunately often results in death. In order …
Dynamical model of tuberculosis-multiple strain prediction based on artificial neural network
A Fojnica, A Osmanović… - 2016 5th Mediterranean …, 2016 - ieeexplore.ieee.org
This paper presents implemented artificial neural network (ANN) for diagnosing pulmonary
tuberculosis progression and dynamics. Tuberculosis is an infectious disease caused in …
tuberculosis progression and dynamics. Tuberculosis is an infectious disease caused in …
Long term remineralizing effect of casein phosphopeptide amorphous calcium phosphate in white spot lesions: A systematic review and meta-analysis
BACKGROUND: White spot lesions (WSLs) appear as white, opaque areas on the teeth and
are caused by a demineralization of the enamel. OBJECTIVE: The purpose of this systematic …
are caused by a demineralization of the enamel. OBJECTIVE: The purpose of this systematic …
Classification of metabolic syndrome patients using implemented expert system
This paper presents the development of an Expert System for the classification of metabolic
syndrome (MetS). Two-layer feedforward Artificial Neural Network (ANN) with sigmoid …
syndrome (MetS). Two-layer feedforward Artificial Neural Network (ANN) with sigmoid …
Diagnosis of asthma based on routine blood biomarkers using machine learning
J Zhan, W Chen, L Cheng, Q Wang… - Computational …, 2020 - Wiley Online Library
Intelligent medical diagnosis has become common in the era of big data, although this
technique has been applied to asthma only in limited contexts. Using routine blood …
technique has been applied to asthma only in limited contexts. Using routine blood …