Artificial intelligence and machine learning in electronic fetal monitoring
Electronic fetal monitoring is used to evaluate fetal well-being by assessing fetal heart
activity. The signals produced by the fetal heart carry valuable information about fetal health …
activity. The signals produced by the fetal heart carry valuable information about fetal health …
Trends in fetal monitoring through phonocardiography: Challenges and future directions
Monitoring the well-being of a fetus through Fetal Phonocardiography (FPCG) has been
occurring for more than a century. Throughout history, there have been continuous …
occurring for more than a century. Throughout history, there have been continuous …
Prediction and analysis of train arrival delay based on XGBoost and Bayesian optimization
R Shi, X Xu, J Li, Y Li - Applied Soft Computing, 2021 - Elsevier
Accurate train arrival delay prediction is critical for real-time train dispatching and for the
improvement of the transportation service. This study proposes a data-driven method that …
improvement of the transportation service. This study proposes a data-driven method that …
Medical data classification using interval type-2 fuzzy logic system and wavelets
This paper introduces an automated medical data classification method using wavelet
transformation (WT) and interval type-2 fuzzy logic system (IT2FLS). Wavelet coefficients …
transformation (WT) and interval type-2 fuzzy logic system (IT2FLS). Wavelet coefficients …
On equivalence of FIS and ELM for interpretable rule-based knowledge representation
This paper presents a fuzzy extreme learning machine (F-ELM) that embeds fuzzy
membership functions and rules into the hidden layer of extreme learning machine (ELM) …
membership functions and rules into the hidden layer of extreme learning machine (ELM) …
A hybrid high‐order type‐2 FCM improved random forest classification method for breast cancer risk assessment
One of the main challenges in breast cancer risk assessment is to provide a patient with an
easily interpretable perspective on her disease's situation. This paper proposes a new …
easily interpretable perspective on her disease's situation. This paper proposes a new …
Fetal heart sounds detection using wavelet transform and fractal dimension
Phonocardiography is a non-invasive technique for the detection of fetal heart sounds
(fHSs). In this study, analysis of fetal phonocardiograph (fPCG) signals, in order to achieve …
(fHSs). In this study, analysis of fetal phonocardiograph (fPCG) signals, in order to achieve …
Improvement of newborn screening using a fuzzy inference system
U Segundo, L Aldámiz-Echevarría… - Expert Systems with …, 2017 - Elsevier
This paper presents a decision support system (DSS) called DSScreening to rapidly detect
inborn errors of metabolism (IEMs) in newborn screening (NS). The system has been …
inborn errors of metabolism (IEMs) in newborn screening (NS). The system has been …
[PDF][PDF] Doppler ultrasound based non-invasive heart rate telemonitoring system for wellbeing assessment
Telemonitoring in the field of healthcare has vastly improved the quality of clinical diagnosis
and disease prevention by providing timely medical consultation to people living in rural and …
and disease prevention by providing timely medical consultation to people living in rural and …
A novel soft computing method based on interval type-2 fuzzy logic for classification of celiac disease
A Najafi, A Amirkhani, K Mohammadi… - 2016 23rd Iranian …, 2016 - ieeexplore.ieee.org
This study proposes a new method for automatic classification of medical data on celiac
disease (CD) using an interval type-2 fuzzy logic system (IT2FLS). Due to the high …
disease (CD) using an interval type-2 fuzzy logic system (IT2FLS). Due to the high …