Machine learning techniques for classification of diabetes and cardiovascular diseases

B Alić, L Gurbeta, A Badnjević - 2017 6th mediterranean …, 2017 - ieeexplore.ieee.org
This paper presents the overview of machine learning techniques in classification of
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 …

Classification of stress recognition using artificial neural network

B Alić, D Sejdinović, L Gurbeta… - 2016 5th …, 2016 - ieeexplore.ieee.org
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 …

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 …

Classification of asthma using artificial neural network

A Badnjević, L Gurbeta, M Cifrek… - … on Information and …, 2016 - ieeexplore.ieee.org
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 …

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 …

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 …

Long term remineralizing effect of casein phosphopeptide amorphous calcium phosphate in white spot lesions: A systematic review and meta-analysis

MJ AlBuraiki, NA Ingle, MA Baseer… - … and Health Care, 2024 - content.iospress.com
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 …

Classification of metabolic syndrome patients using implemented expert system

B Alić, L Gurbeta, A Badnjević… - … 2017: Proceedings of …, 2017 - Springer
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 …

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 …