Fernando Martinez to Machine Learning
This is a "connection" page, showing publications Fernando Martinez has written about Machine Learning.
Connection Strength
1.300
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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: 0.559
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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: 0.506
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Huang Y, Ma SF, Oldham JM, Adegunsoye A, Zhu D, Murray S, Kim JS, Bonham C, Strickland E, Linderholm AL, Lee CT, Paul T, Mannem H, Maher TM, Molyneaux PL, Strek ME, Martinez FJ, Noth I. Machine Learning of Plasma Proteomics Classifies Diagnosis of Interstitial Lung Disease. Am J Respir Crit Care Med. 2024 Aug 15; 210(4):444-454.
Score: 0.203
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Kennedy GC, Barth NM, Walsh PS, Huang J, Pankratz DG, Choi Y, Fedorowicz GM, Anderson JD, Raghu G, Martinez FJ, Colby TV, Lynch DA, Brown KK, Groshong SD, Myers JL, Flaherty KR, Steele MP. Reply: Improving Care for Patients with Interstitial Lung Disease, Using Machine Learning, Requires Transparency and Reproducibility. Ann Am Thorac Soc. 2017 12; 14(12):1864-1865.
Score: 0.032