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Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

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0 Published in 2020 at "Artificial intelligence in medicine"

DOI: 10.1016/j.artmed.2020.101822

Abstract: OBJECTIVE This work aims to provide a review of the existing literature in the field of automated machine learning (AutoML) to help healthcare professionals better utilize machine learning models "off-the-shelf" with limited data science expertise.… read more here.

Keywords: machine; automl; machine learning; field ... See more keywords

Performance of automated machine for different profiles in two-dimensional welding

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0 Published in 2020 at "Materials and Manufacturing Processes"

DOI: 10.1080/10426914.2020.1843665

Abstract: ABSTRACT In this paper, a two-directional automated machine with a controller for flat gas metal arc welding is developed for welding along any complex shape. Consistent and uniform weld bead deposition can be done with… read more here.

Keywords: performance automated; automated machine; machine different; different profiles ... See more keywords

Building an automated, machine learning-enabled platform for predicting post-operative complications

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1 Published in 2023 at "Physiological Measurement"

DOI: 10.1088/1361-6579/acb4db

Abstract: Objective. In 2019, the University of Florida College of Medicine launched the MySurgeryRisk algorithm to predict eight major post-operative complications using automatically extracted data from the electronic health record. Approach. This project was developed in… read more here.

Keywords: operative complications; machine learning; automated machine; building automated ... See more keywords

Fusion Mechanisms for Human Activity Recognition Using Automated Machine Learning

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0 Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3013406

Abstract: Human activity recognition has been a branch of interest in the field of computer vision for decades, due to its numerous applications in different domains, such as medicine, surveillance, entertainment or human-computer interaction. We propose… read more here.

Keywords: human activity; automated machine; machine learning; fusion mechanisms ... See more keywords

Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcome

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1 Published in 2022 at "PLoS ONE"

DOI: 10.1371/journal.pone.0265254

Abstract: Artificial intelligence and machine learning (AI/ML) is becoming increasingly more accessible to biomedical researchers with significant potential to transform biomedicine through optimization of highly-accurate predictive models and enabling better understanding of disease biology. Automated machine… read more here.

Keywords: automated machine; machine; cord injury; machine learning ... See more keywords

Customized and Automated Machine Learning-Based Models for Diabetes Type 2 Classification

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0 Published in 2022 at "Studies in health technology and informatics"

DOI: 10.3233/shti220779

Abstract: This study aims to develop models to accurately classify patients with type 2 diabetes using the Practice Fusion dataset. We use Random Forest (RF), Support Vector Classifier (SVC), AdaBoost classifier, an ensemble model, and automated… read more here.

Keywords: machine learning; automated machine; customized automated; learning based ... See more keywords

Deciphering the Methylation Landscape in Breast Cancer: Diagnostic and Prognostic Biosignatures through Automated Machine Learning

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0 Published in 2021 at "Cancers"

DOI: 10.3390/cancers13071677

Abstract: Simple Summary Breast cancer (BrCa) is characterized by aberrant DNA methylation. We leveraged high-throughput methylation data from BrCa and normal breast tissues and identified 11,176 to 27,786 differentially methylated genes (DMGs) against clinically relevant end-points.… read more here.

Keywords: methylation; machine learning; automated machine; breast cancer ... See more keywords

Using a simple open-source automated machine learning algorithm to forecast COVID-19 spread: A modelling study.

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1 Published in 2020 at "Advances in respiratory medicine"

DOI: 10.5603/arm.a2020.0156

Abstract: INTRODUCTION Machine learning algorithms have been used to develop prediction models in various infectious and non-infectious settings including interpretation of images in predicting the outcome of diseases. We demonstrate the application of one such simple… read more here.

Keywords: automated machine; machine; learning algorithm; covid spread ... See more keywords