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
Machine learning for predicting properties of porous media from 2d X-ray images
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2019.106514
Abstract: Abstract In this paper, Convolutional Neural Networks (CNNs) are trained to rapidly estimate several physical properties of porous media using micro-computed tomography (micro-CT) X-ray images as input data. The tomograms of three different sandstone types… read more here.
Keywords: properties porous; machine learning; learning predicting; ray images ... See more keywords
Machine Learning for Predicting the Band Gaps of ABX3 Perovskites from Elemental Properties
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DOI: 10.1021/acs.jpcc.9b11768
Abstract: The band gap is an important parameter that determines light-harvesting capability of perovskite materials. It governs the performance of various optoelectronic devices such as solar cells, light-e... read more here.
Keywords: machine learning; learning predicting; gaps abx3; band gaps ... See more keywords
Machine Learning for Predicting Hyperglycemic Cases Induced by PD-1/PD-L1 Inhibitors
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Healthcare Engineering"
DOI: 10.1155/2022/6278854
Abstract: Objective Immune checkpoint inhibitors, such as programmed death-1/ligand-1 (PD-1/L1), exhibited autoimmune-like disorders, and hyperglycemia was on the top of grade 3 or higher immune-related adverse events. Machine learning is a model from past data for… read more here.
Keywords: predicting hyperglycemic; machine; machine learning; prediction ... See more keywords