Hyperspectral Imaging Combined With Machine Learning Methods to Quantify the Facial Skin Melanin and Erythema.
Sign Up to like & getrecommendations! Published in 2025 at "Journal of biophotonics"
DOI: 10.1002/jbio.202500303
Abstract: Melanin deposition and erythema mainly constitute physiological responses of the skin to environmental changes and represent important factors evaluating and diagnosing the skin conditions. This study investigates the critical roles of melanin and hemoglobin in… read more here.
Keywords: learning methods; melanin; machine learning; skin ... See more keywords
The impact of three learning methods on dental students' satisfaction and knowledge acquisition.
Sign Up to like & getrecommendations! Published in 2024 at "Journal of dental education"
DOI: 10.1002/jdd.13545
Abstract: OBJECTIVES Health professionals' education presents unique challenges including clinical application of knowledge and interprofessional collaboration. Additionally, institutions suffer from faculty shortages while class sizes increase. Therefore, educators seek innovative andragogical techniques utilizing minimal resources. Several… read more here.
Keywords: learning methods; satisfaction; dental students; students satisfaction ... See more keywords
Machine learning for identifying relevant publications in updates of systematic reviews of diagnostic test studies.
Sign Up to like & getrecommendations! Published in 2021 at "Research synthesis methods"
DOI: 10.1002/jrsm.1486
Abstract: BACKGROUND Updating systematic reviews is often a time-consuming process that involves a lot of human effort and is therefore not conducted as often as it should be. The aim of our research project was to… read more here.
Keywords: machine; reviews diagnostic; machine learning; systematic reviews ... See more keywords
In Silico Prediction of Metabolic Epoxidation for Drug-like Molecules via Machine Learning Methods.
Sign Up to like & getrecommendations! Published in 2020 at "Molecular informatics"
DOI: 10.1002/minf.201900178
Abstract: Epoxidation is one of the reactions in drug metabolism. Since epoxide metabolites would bind with proteins or DNA covalently, drugs should avoid epoxidation metabolism in the body. Due to the instability of epoxide, it is… read more here.
Keywords: machine learning; drug; epoxidation; learning methods ... See more keywords
A review of ADHD detection studies with machine learning methods using rsfMRI data
Sign Up to like & getrecommendations! Published in 2024 at "NMR in Biomedicine"
DOI: 10.1002/nbm.5138
Abstract: Attention deficit hyperactivity disorder (ADHD) is a common mental health condition that significantly affects school‐age children, causing difficulties with learning and daily functioning. Early identification is crucial, and reliable and objective diagnostic tools are necessary.… read more here.
Keywords: detection; learning methods; rsfmri data; machine learning ... See more keywords
Application of machine learning methods in the analysis of interface bonding strength for overmolded hybrid thermoset‐thermoplastic composites
Sign Up to like & getrecommendations! Published in 2024 at "Polymer Composites"
DOI: 10.1002/pc.28346
Abstract: The focus of this study is to apply finite element method (FEM) and machine learning methods to investigate the interfacial bonding strength of continuous fiber reinforced thermoset composite (TSC)‐thermoplastic structures manufactured through co‐curing and overmolding… read more here.
Keywords: learning methods; injection; machine; machine learning ... See more keywords
Machine learning methods for generating high dimensional discrete datasets
Sign Up to like & getrecommendations! Published in 2022 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1450
Abstract: The development of platforms and techniques for emerging Big Data and Machine Learning applications requires the availability of real‐life datasets. A possible solution is to synthesize datasets that reflect patterns of real ones using a… read more here.
Keywords: machine; machine learning; methods generating; learning methods ... See more keywords
Epistasis Analysis: Classification Through Machine Learning Methods.
Sign Up to like & getrecommendations! Published in 2021 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-0947-7_21
Abstract: Complex disease is different from Mendelian disorders. Its development usually involves the interaction of multiple genes or the interaction between genes and the environment (i.e. epistasis). Although the high-throughput sequencing technologies for complex diseases have produced… read more here.
Keywords: machine learning; epistasis analysis; epistasis; learning methods ... See more keywords
Development and trending of deep learning methods for wind power predictions
Sign Up to like & getrecommendations! Published in 2024 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-024-10728-z
Abstract: With the increasing data availability in wind power production processes due to advanced sensing technologies, data-driven models have become prevalent in studying wind power prediction (WPP) methods. Deep learning models have gained popularity in recent… read more here.
Keywords: deep learning; learning methods; wind power; learning ... See more keywords
Securing internet of things using machine and deep learning methods: a survey
Sign Up to like & getrecommendations! Published in 2024 at "Cluster Computing"
DOI: 10.1007/s10586-024-04509-0
Abstract: The Internet of Things (IoT) is a vast network of devices with sensors or actuators connected through wired or wireless networks. It has a transformative effect on integrating technology into people’s daily lives. IoT covers… read more here.
Keywords: deep learning; learning methods; machine; internet things ... See more keywords
Single and Clustered Cervical Cell Classification with Ensemble and Deep Learning Methods
Sign Up to like & getrecommendations! Published in 2020 at "Information Systems Frontiers"
DOI: 10.1007/s10796-020-10028-1
Abstract: Cervical cancer if detected early has an upward of 89% survival rate. The leading tool in identifying cervical cancer in its infancy is the Papanicolaou (Pap smear) test, which since its introduction dropped cervical cancer… read more here.
Keywords: cervical cancer; deep learning; learning methods; pap smear ... See more keywords