Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression
Sign Up to like & getrecommendations! Published in 2020 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2020.6653
Abstract: Key Points Question Can machine learning models predict improvement of various depressive symptoms with antidepressant treatment based on pretreatment symptom scores and electroencephalographic measures? Findings In this prognostic study, using the machine learning approach of… read more here.
Keywords: machine; machine learning; based pretreatment; antidepressant treatment ... See more keywords
Optimization of twin gear-based pretreatment of rice straw for bioethanol production
Sign Up to like & getrecommendations! Published in 2017 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2016.06.022
Abstract: Abstract A laboratory twin-gear reactor (TGR) was investigated as a new means for the pretreatment of high solid lignocelluloses. Response surface methodology based on Box Behnken Design was used to optimize the enzymatic digestibility with… read more here.
Keywords: rice straw; based pretreatment; twin gear;
Evaluation of cumulative prognostic score based on pretreatment plasma fibrinogen and serum albumin levels in patients with newly diagnosed high-grade gliomas
Sign Up to like & getrecommendations! Published in 2017 at "Oncotarget"
DOI: 10.18632/oncotarget.17849
Abstract: This retrospective study was designed to determine the prognostic value of a cumulative score (FA score) based on pretreatment plasma fibrinogen and serum albumin levels for 326 patients newly diagnosed high-grade glioma (HGG). Receiver operating… read more here.
Keywords: fibrinogen; based pretreatment; score based; score ... See more keywords