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https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3003765
Dopamine D2-receptor blockade in humans disrupts the effect of effort on learning | PLOS Biology
Dopamine has been implicated in both effort and reward learning, but how do these processes interact? This study shows through pharmacology and computational...
learning plosdopamined2receptorblockade
https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000308
Analysis of lung cancer risk factors from medical records in Ethiopia using machine learning | PLOS...
Author summary Lung cancer has become one of the leading causes of mortality in Ethiopia. Lung cancer risk factors vary from place to place since it depends on...
lung cancer riskusing machine learningmedical recordsanalysisfactors
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0345593
GAN-based underwater image enhancement and scene classification using transfer learning | PLOS One
This paper provides an exploratory analysis of underwater video analysis techniques to enhance image quality and facilitate accurate classification of...
image enhancementclassification usingtransfer learningplos onegan
https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3003756
Human brains construct individualized global rankings from identical few-shot learning input | PLOS...
Do humans establish common knowledge from identical inputs? This study uses behavior and MEG to show that even based on identical local evidence, human brains...
human brainsglobal rankingsshot learningconstructindividualized
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009746
Interpretable machine learning for high-dimensional trajectories of aging health | PLOS...
Author summary Aging is the process of age-dependent functional decline of biological organisms. This process is high-dimensional, involving changes in all...
interpretable machinehigh dimensionalaging healthlearningtrajectories
https://collections.plos.org/collection/mlforhealth/
Machine Learning in Health and Biomedicine - PLOS Collections
Nov 3, 2021 - Modern statistical modeling techniques—often called machine learning—are posited as a transformative force for human health. High-profile reports of diagnostic...
machine learningplos collectionshealthbiomedicine