Connection
Mark Steele to Diagnosis, Differential
This is a "connection" page, showing publications Mark Steele has written about Diagnosis, Differential.
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Connection Strength |
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![](https://profiles.ucdenver.edu/Framework/Images/connection_left.gif) |
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![](https://profiles.ucdenver.edu/Framework/Images/connection_right.gif) |
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0.101 |
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Raghu G, Flaherty KR, Lederer DJ, Lynch DA, Colby TV, Myers JL, Groshong SD, Larsen BT, Chung JH, Steele MP, Benzaquen S, Calero K, Case AH, Criner GJ, Nathan SD, Rai NS, Ramaswamy M, Hagmeyer L, Davis JR, Gauhar UA, Pankratz DG, Choi Y, Huang J, Walsh PS, Neville H, Lofaro LR, Barth NM, Kennedy GC, Brown KK, Martinez FJ. Use of a molecular classifier to identify usual interstitial pneumonia in conventional transbronchial lung biopsy samples: a prospective validation study. Lancet Respir Med. 2019 06; 7(6):487-496.
Score: 0.030
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Pankratz DG, Choi Y, Imtiaz U, Fedorowicz GM, Anderson JD, Colby TV, Myers JL, Lynch DA, Brown KK, Flaherty KR, Steele MP, Groshong SD, Raghu G, Barth NM, Walsh PS, Huang J, Kennedy GC, Martinez FJ. Usual Interstitial Pneumonia Can Be Detected in Transbronchial Biopsies Using Machine Learning. Ann Am Thorac Soc. 2017 Nov; 14(11):1646-1654.
Score: 0.027
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Kim SY, Diggans J, Pankratz D, Huang J, Pagan M, Sindy N, Tom E, Anderson J, Choi Y, Lynch DA, Steele MP, Flaherty KR, Brown KK, Farah H, Bukstein MJ, Pardo A, Selman M, Wolters PJ, Nathan SD, Colby TV, Myers JL, Katzenstein AL, Raghu G, Kennedy GC. Classification of usual interstitial pneumonia in patients with interstitial lung disease: assessment of a machine learning approach using high-dimensional transcriptional data. Lancet Respir Med. 2015 Jun; 3(6):473-82.
Score: 0.023
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Lee HY, Seo JB, Steele MP, Schwarz MI, Brown KK, Loyd JE, Talbert JL, Schwartz DA, Lynch DA. High-resolution CT scan findings in familial interstitial pneumonia do not conform to those of idiopathic interstitial pneumonia. Chest. 2012 Dec; 142(6):1577-1583.
Score: 0.020
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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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