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Predicting change in diagnosis from major depression to bipolar disorder after antidepressant initiation.
In Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Pradier Melanie F, Hughes Michael C, McCoy Thomas H, Barroilhet Sergio A, Doshi-Velez Finale, Perlis Roy H
In Journal of neural engineering ; h5-index 52.0
MAIN RESULTS :
Tafazoli Sina, MacDowell Camden, Che Zongda, Letai Kate C, Steinhardt Cynthia R, Buschman Tim
brain stimulation, closed-loop stimulation, electrical stimulation, machine learning, neuromodulation
In Surgery ; h5-index 54.0
Stonko David P, Guillamondegui Oscar D, Fischer Peter E, Dennis Bradley M
Using Machine Learning to Generate Novel Hypotheses: Increasing Optimism About COVID-19 Makes People Less Willing to Justify Unethical Behaviors.
In Psychological science ; h5-index 93.0
Sheetal Abhishek, Feng Zhiyu, Savani Krishna
COVID-19, machine learning, neural network, open data, open materials, optimism, preregistered, unethical behavior
Development and clinical implementation of tailored image analysis tools for COVID-19 in the midst of the pandemic: The synergetic effect of an open, clinically embedded software development platform and machine learning.
In European journal of radiology ; h5-index 47.0
Anastasopoulos Constantin, Weikert Thomas, Yang Shan, Abdulkadir Ahmed, Schmülling Lena, Bühler Claudia, Paciolla Fabiano, Sexauer Raphael, Cyriac Joshy, Nesic Ivan, Twerenbold Raphael, Bremerich Jens, Stieltjes Bram, Sauter Alexander W, Sommer Gregor
COVID-19, Computed tomography, Machine learning, Software
Diagnose ADHD disorder in children using convolutional neural network based on continuous mental task EEG.
In Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE :
Moghaddari Majid, Lighvan Mina Zolfy, Danishvar Sebelan
ADHD, Convolutional neural network, Deep learning, Electroencephalography