 Connection
David Lynch to Bayes Theorem
This is a "connection" page, showing publications David Lynch has written about Bayes Theorem.
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Connection Strength |
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0.181 |
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Chang Y, Lim J, Kim N, Seo JB, Lynch DA. A support vector machine classifier reduces interscanner variation in the HRCT classification of regional disease pattern in diffuse lung disease: comparison to a Bayesian classifier. Med Phys. 2013 May; 40(5):051912.
Score: 0.088
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Baraghoshi D, Strand MJ, Humphries SM, Lynch DA, Kaizer AM, Porras AR. Uncertainty-aware quantitative CT evaluation of emphysema and mortality risk from variable radiation dose images. Eur Radiol. 2025 Oct; 35(10):6115-6126.
Score: 0.051
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Cottin V, Tomassetti S, Valenzuela C, Walsh SLF, Antoniou KM, Bonella F, Brown KK, Collard HR, Corte TJ, Flaherty KR, Johannson KA, Kolb M, Kreuter M, Inoue Y, Jenkins RG, Lee JS, Lynch DA, Maher TM, Martinez FJ, Molina-Molina M, Myers JL, Nathan SD, Poletti V, Quadrelli S, Raghu G, Rajan SK, Ravaglia C, Remy-Jardin M, Renzoni E, Richeldi LK, Spagnolo P, Troy L, Wijsenbeek M, Wilson KC, Wuyts W, Wells AU, Ryerson CJ. Integrating Clinical Probability into the Diagnostic Approach to Idiopathic Pulmonary Fibrosis: An International Working Group Perspective. Am J Respir Crit Care Med. 2022 08 01; 206(3):247-259.
Score: 0.042
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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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