A comprehensive review of techniques for processing and analyzing fetal heart rate signals
The availability of standardized guidelines regarding the use of electronic fetal monitoring
(EFM) in clinical practice has not effectively helped to solve the main drawbacks of fetal …
(EFM) in clinical practice has not effectively helped to solve the main drawbacks of fetal …
A deep feature learning model for pneumonia detection applying a combination of mRMR feature selection and machine learning models
Pneumonia is one of the diseases that people may encounter in any period of their lives.
Approximately 18% of infectious diseases are caused by pneumonia. This disease may …
Approximately 18% of infectious diseases are caused by pneumonia. This disease may …
Computerised cardiotocography analysis for the automated detection of fetal compromise during labour: a review
The measurement and analysis of fetal heart rate (FHR) and uterine contraction (UC)
patterns, known as cardiotocography (CTG), is a key technology for detecting fetal …
patterns, known as cardiotocography (CTG), is a key technology for detecting fetal …
Detection of lung cancer on chest CT images using minimum redundancy maximum relevance feature selection method with convolutional neural networks
Lung cancer is a disease caused by the involuntary increase of cells in the lung tissue. Early
detection of cancerous cells is of vital importance in the lungs providing oxygen to the …
detection of cancerous cells is of vital importance in the lungs providing oxygen to the …
Machine learning approach equipped with neighbourhood component analysis for DDoS attack detection in software-defined networking
The Software-Defined Network (SDN) is a new network paradigm that promises more
dynamic and efficiently manageable network architecture for new-generation networks. With …
dynamic and efficiently manageable network architecture for new-generation networks. With …
Comparison of machine learning algorithms to classify fetal health using cardiotocogram data
N Rahmayanti, H Pradani, M Pahlawan… - Procedia Computer …, 2022 - Elsevier
Cardiotocogram (CTG) is one of the monitoring tools to estimate the fetus health in womb.
CTG mainly yields two results fetal health rate (FHR) and uterine contractions (UC). In total …
CTG mainly yields two results fetal health rate (FHR) and uterine contractions (UC). In total …
A study of artificial neural network training algorithms for classification of cardiotocography signals
Cardiotocography (CTG) that contains fetal heart rate (FHR) and uterine contraction (UC)
signals is a monitoring technique. During the last decades, FHR signals have been …
signals is a monitoring technique. During the last decades, FHR signals have been …
On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient
Y Bai, S Zhang, N Bhattarai, K Mallick, Q Liu… - Agricultural and Forest …, 2021 - Elsevier
Accurately mapping of regional-scale evapotranspiration (ET) from the croplands using
remote sensing is currently challenged by limited spatial information on crop and field …
remote sensing is currently challenged by limited spatial information on crop and field …
[Retracted] Comparative Analysis of Different Efficient Machine Learning Methods for Fetal Health Classification
MT Alam, MAI Khan, NN Dola, T Tazin… - Applied Bionics and …, 2022 - Wiley Online Library
Obstetricians often utilize cardiotocography (CTG) to assess a child's physical health
throughout pregnancy because it gives data on the fetal heartbeat and uterine contractions …
throughout pregnancy because it gives data on the fetal heartbeat and uterine contractions …
Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment
Cardiotocography (CTG) is applied routinely for fetal monitoring during the perinatal period
to decrease the rates of neonatal mortality and morbidity as well as unnecessary …
to decrease the rates of neonatal mortality and morbidity as well as unnecessary …