 Connection
Tor Wager to Machine Learning
This is a "connection" page, showing publications Tor Wager has written about Machine Learning.
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Connection Strength |
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1.919 |
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Goldstein P, Ashar Y, Tesarz J, Kazgan M, Cetin B, Wager TD. Emerging Clinical Technology: Application of Machine Learning to Chronic Pain Assessments Based on Emotional Body Maps. Neurotherapeutics. 2020 07; 17(3):774-783.
Score: 0.559
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Lindquist MA, Krishnan A, L?pez-Sol? M, Jepma M, Woo CW, Koban L, Roy M, Atlas LY, Schmidt L, Chang LJ, Reynolds Losin EA, Eisenbarth H, Ashar YK, Delk E, Wager TD. Group-regularized individual prediction: theory and application to pain. Neuroimage. 2017 01 15; 145(Pt B):274-287.
Score: 0.406
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Chang LJ, Gianaros PJ, Manuck SB, Krishnan A, Wager TD. A Sensitive and Specific Neural Signature for Picture-Induced Negative Affect. PLoS Biol. 2015 Jun; 13(6):e1002180.
Score: 0.394
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Kohoutov? L, Heo J, Cha S, Lee S, Moon T, Wager TD, Woo CW. Toward a unified framework for interpreting machine-learning models in neuroimaging. Nat Protoc. 2020 04; 15(4):1399-1435.
Score: 0.137
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Matthewson GM, Woo CW, Reddan MC, Wager TD. Cognitive self-regulation influences pain-related physiology. Pain. 2019 10; 160(10):2338-2349.
Score: 0.133
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Reddan MC, Lindquist MA, Wager TD. Effect Size Estimation in Neuroimaging. JAMA Psychiatry. 2017 03 01; 74(3):207-208.
Score: 0.111
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L?pez-Sol? M, Woo CW, Pujol J, Deus J, Harrison BJ, Monfort J, Wager TD. Towards a neurophysiological signature for fibromyalgia. Pain. 2017 01; 158(1):34-47.
Score: 0.110
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Nath T, Caffo B, Wager T, Lindquist MA. A machine learning based approach towards high-dimensional mediation analysis. Neuroimage. 2023 03; 268:119843.
Score: 0.042
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Gianaros PJ, Sheu LK, Uyar F, Koushik J, Jennings JR, Wager TD, Singh A, Verstynen TD. A Brain Phenotype for Stressor-Evoked Blood Pressure Reactivity. J Am Heart Assoc. 2017 Aug 23; 6(9).
Score: 0.029
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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