Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With Depression
Sign Up to like & getrecommendations! Published in 2020 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2019.18377
Abstract: This prognostic study of patients with major depressive disorder estimates how accurately an outcome of escitalopram treatment can be predicted from electroencephalographic data. read more here.
Keywords: machine learning; learning predicting; predicting escitalopram; treatment ... See more keywords
Use of Machine Learning and Infrared Spectra for Rheological Characterization and Application to the Apricot
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-55543-7
Abstract: Fast advancement of machine learning methods and constant growth of the areas of application open up new horizons for large data management and processing. Among the various types of data available for analysis, the Fourier… read more here.
Keywords: machine; machine learning; learning infrared; firmness ... See more keywords
On the Use of Machine Learning for Classifying Auditory Brainstem Responses: A Scoping Review
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3102096
Abstract: Recent advances in machine learning have led to a surge of interest in classification of the auditory brainstem response. In this work, we conducted a search in the PubMed, Google Scholar, SpringerLink, ScienceDirect, and Scopus… read more here.
Keywords: brainstem; auditory brainstem; brainstem response; machine learning ... See more keywords
The Use of Machine Learning Techniques for Optimal Multicasting in 5G NR Systems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Broadcasting"
DOI: 10.1109/tbc.2022.3206595
Abstract: Multicasting is a key feature of cellular systems, which provides an efficient way to simultaneously disseminate a large amount of traffic to multiple subscribers. However, the efficient use of multicast services in fifth-generation (5G) New… read more here.
Keywords: problem; use machine; machine learning; multicast ... See more keywords
Use of machine learning in osteoarthritis research: a systematic literature review
Sign Up to like & getrecommendations! Published in 2022 at "RMD Open"
DOI: 10.1136/rmdopen-2021-001998
Abstract: Objective The aim of this systematic literature review was to provide a comprehensive and exhaustive overview of the use of machine learning (ML) in the clinical care of osteoarthritis (OA). Methods A systematic literature review… read more here.
Keywords: use machine; review; systematic literature; literature review ... See more keywords
Use of Machine learning to predict asthma exacerbations
Sign Up to like & getrecommendations! Published in 2020 at "European Respiratory Journal"
DOI: 10.1183/13993003.congress-2020.4802
Abstract: Background: Asthma exacerbations negatively impact disease progression and can lead to hospitalizations and death. Ability to predict exacerbations may allow intervention for prevention and improve outcomes. We aimed to develop models using machine learning to… read more here.
Keywords: learning predict; machine learning; use machine; asthma ... See more keywords
Use of machine learning as a tool for determining fire management units in the brazilian atlantic forest.
Sign Up to like & getrecommendations! Published in 2023 at "Anais da Academia Brasileira de Ciencias"
DOI: 10.1590/0001-3765202320201039
Abstract: Geoprocessing techniques are generally applied in natural disaster risk management due to their ability to integrate and visualize different sets of geographic data. The objective of this study was to evaluate the capacity of classification… read more here.
Keywords: use machine; management units; fire; machine learning ... See more keywords
Use of machine learning to identify functional connectivity changes in a clinical cohort of patients at risk for dementia
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Aging Neuroscience"
DOI: 10.3389/fnagi.2022.962319
Abstract: Objective Progressive conditions characterized by cognitive decline, including mild cognitive impairment (MCI) and subjective cognitive decline (SCD) are clinical conditions representing a major risk factor to develop dementia, however, the diagnosis of these pre-dementia conditions… read more here.
Keywords: use machine; learning identify; machine learning; neuropsychological tests ... See more keywords
Use of Machine Learning with Fused Spectral Data for Prediction of Product Sensory Characteristics: The Case of Grape to Wine
Sign Up to like & getrecommendations! Published in 2023 at "Foods"
DOI: 10.3390/foods12040757
Abstract: Generations of sensors have been developed for predicting food sensory profiles to circumvent the use of a human sensory panel, but a technology that can rapidly predict a suite of sensory attributes from one spectral… read more here.
Keywords: use machine; machine learning; sensory characteristics; sensory ... See more keywords