Smaranda Belciug
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View article: An Evolutionary Computation Approach for Optimizing Support Vector Regression in Predicting Pollen Levels
An Evolutionary Computation Approach for Optimizing Support Vector Regression in Predicting Pollen Levels Open
View article: Prediction Of Labor Outcome Using Generative Artificial Intelligence
Prediction Of Labor Outcome Using Generative Artificial Intelligence Open
View article: Decision-Making in Healthcare Resources Optimal Management: the Case of Inpatient Bed Occupancy and Associated Costs
Decision-Making in Healthcare Resources Optimal Management: the Case of Inpatient Bed Occupancy and Associated Costs Open
The aim of this paper is to explore how efficient is the \textit{Fish School Search} (FSS) algorithm in building a \textit{Decision Support System (DSS)} for healthcare facility managers in order to optimize both the number of beds in thei…
View article: Autonomous fetal morphology scan: deep learning + clustering merger – the second pair of eyes behind the doctor
Autonomous fetal morphology scan: deep learning + clustering merger – the second pair of eyes behind the doctor Open
The main cause of fetal death, of infant morbidity or mortality during childhood years is attributed to congenital anomalies. They can be detected through a fetal morphology scan. An experienced sonographer (with more than 2000 performed s…
View article: Pattern Recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical learning (PARADISE): protocol for the development of an intelligent decision support system using fetal morphology ultrasound scan to detect fetal congenital anomaly detection
Pattern Recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical learning (PARADISE): protocol for the development of an intelligent decision support system using fetal morphology ultrasound scan to detect fetal congenital anomaly detection Open
Introduction Congenital anomalies are the most encountered cause of fetal death, infant mortality and morbidity. 7.9 million infants are born with congenital anomalies yearly. Early detection of congenital anomalies facilitates life-saving…
View article: Bayesian Neural Networks for predicting the severity of symptoms: a case study
Bayesian Neural Networks for predicting the severity of symptoms: a case study Open
View article: Can Generative AI be used to improve doctor/patient relationship?
Can Generative AI be used to improve doctor/patient relationship? Open
View article: Deep learning and Gaussian Mixture Modelling clustering mix. A new approach for fetal morphology view plane differentiation
Deep learning and Gaussian Mixture Modelling clustering mix. A new approach for fetal morphology view plane differentiation Open
The last three years have been a game changer in the way medicine is practiced. The COVID-19 pandemic changed the obstetrics and gynecology scenery. Pregnancy complications, and even death, are preventable due to maternal-fetal monitoring.…
View article: Does Peer Pressure Have The Same Effect On Intelligent Decision Support System As It Does On Human Decision Systems? Case Study: Fetal Ultrasound Movies
Does Peer Pressure Have The Same Effect On Intelligent Decision Support System As It Does On Human Decision Systems? Case Study: Fetal Ultrasound Movies Open
The aim of this paper is to explore whether the peer pressure environment makes Artificial Intelligence machines behave just like humans do. We propose a two-step multi-participant intelligent decision support system that uses a committee …
View article: Knowledge-based statistical data analysis for deep learning and voting classifiers merger
Knowledge-based statistical data analysis for deep learning and voting classifiers merger Open
Maternal and fetal morbidity and mortality can be prevented through careful monitoring during pregnancy. Using artificial intelligence doctors can establish a more accurate and a much faster diagnosis. In this paper, we propose a merger be…
View article: Evolutionary Computation Paradigm to Determine Deep Neural Networks Architectures
Evolutionary Computation Paradigm to Determine Deep Neural Networks Architectures Open
Image classification is usually done using deep learning algorithms. Deep learning architectures are set deterministically. The aim of this paper is to propose an evolutionary computation paradigm that optimises a deep learning neural netw…
View article: Prediction of labor outcome pilot study: evaluation of primiparous women at term
Prediction of labor outcome pilot study: evaluation of primiparous women at term Open
There are strong and significant correlations among the "head descent" ultrasound measurements at term. Body mass index is predictive of labor outcomes throughout term evaluations. Progression distance and body mass index measured at 37 to…
View article: Learning deep neural networks' architectures using differential evolution. Case study: Medical imaging processing
Learning deep neural networks' architectures using differential evolution. Case study: Medical imaging processing Open
The COVID-19 pandemic has changed the way we practice medicine. Cancer patient and obstetric care landscapes have been distorted. Delaying cancer diagnosis or maternal-fetal monitoring increased the number of preventable deaths or pregnanc…
View article: Doctor/Data Scientist/Artificial Intelligence Communication Model. Case Study.
Doctor/Data Scientist/Artificial Intelligence Communication Model. Case Study. Open
View article: Virtual autopsy and confirmation of normal fetal heart anatomy in the first trimester using three-dimensional (3D) reconstruction of histological sections
Virtual autopsy and confirmation of normal fetal heart anatomy in the first trimester using three-dimensional (3D) reconstruction of histological sections Open
In this pilot study, we tested the feasibility of cardiac structures reconstruction from histological sections in 12-13 weeks normal fetuses. Conventional autopsy is hampered at this gestational age because of the small size of the heart a…
View article: Sonographic Evaluation of the Mechanism of Active Labor (SonoLabor Study): observational study protocol regarding the implementation of the sonopartogram
Sonographic Evaluation of the Mechanism of Active Labor (SonoLabor Study): observational study protocol regarding the implementation of the sonopartogram Open
Introduction Over the last decades, a large body of literature has shown that intrapartum clinical digital pelvic estimations of fetal head position, station and progression in the pelvic canal are less accurate, compared with ultrasound (…
View article: Competitive / Collaborative Statistical Learning Framework for Forecasting Intraday Stock Market Prices: A Case Study
Competitive / Collaborative Statistical Learning Framework for Forecasting Intraday Stock Market Prices: A Case Study Open
This paper presents an intelligent decision system based on statistical learning that regards the tactics of an investor in predicting the next intraday stock price.Significant percentages can be won or lost depending on the tactics applie…
View article: Virtual autopsy and confirmation of normal fetal heart anatomy in the first trimester using three-dimensional (3D) reconstruction of histological sections
Virtual autopsy and confirmation of normal fetal heart anatomy in the first trimester using three-dimensional (3D) reconstruction of histological sections Open
Objective: In this pilot study we tested the feasibility of cardiac structures reconstruction from histologic sections in 12-13 weeks normal fetuses. Conventional autopsy is hampered at this gestational age because of the small size of the…
View article: Automated Gleason grading of prostate cancer using transfer learning from general-purpose deep-learning networks
Automated Gleason grading of prostate cancer using transfer learning from general-purpose deep-learning networks Open
Two deep-learning algorithms designed to classify images according to the Gleason grading system that used transfer learning from two well-known general-purpose image classification networks (AlexNet and GoogleNet) were trained on Hematoxy…
View article: An Artificial Immune System Approach for a Multi-compartment Queuing Model for Improving Medical Resources and Inpatient Bed Occupancy in Pandemics
An Artificial Immune System Approach for a Multi-compartment Queuing Model for Improving Medical Resources and Inpatient Bed Occupancy in Pandemics Open
In the context of the Covid-19 pandemic the pressure that is put on the medical systems is increasing exponentially. Healthcare systems resources are in general scarce, and hence they require policies that ensure the optimal usage of beds …
View article: Artificial Intelligence in Cancer
Artificial Intelligence in Cancer Open
View article: Era of Intelligent Systems in Healthcare
Era of Intelligent Systems in Healthcare Open
View article: Variable selection in Logistic regression model with genetic algorithm
Variable selection in Logistic regression model with genetic algorithm Open
Variable or feature selection is one of the most important steps in model specification. Especially in the case of medical-decision making, the direct use of a medical database, without a previous analysis and preprocessing step, is often …
View article: Regression-Based Approach For Feature Selection In Classification Issues. Application To Breast Cancer Detection And Recurrence
Regression-Based Approach For Feature Selection In Classification Issues. Application To Breast Cancer Detection And Recurrence Open
Feature selection is considered a key factor in classifications/decision problems. It is currently used in designing intelligent decision systems to choose the best features which allow the best performance. This paper proposes a regressio…