Literature DB >> 29058448

Improving Care for Patients with Interstitial Lung Disease Using Machine Learning Requires Transparency and Reproducibility.

Gary E Weissman1.   

Abstract

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Year:  2017        PMID： 29058448      PMCID： PMC5711263          DOI： 10.1513/AnnalsATS.201707-559LE

Source DB:  PubMed          Journal:  Ann Am Thorac Soc        ISSN： 2325-6621


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  5 in total

1.  Reproducible research in computational science.

Authors:  Roger D Peng
Journal:  Science       Date:  2011-12-02       Impact factor: 47.728

2.  Repeatability of published microarray gene expression analyses.

Authors:  John P A Ioannidis; David B Allison; Catherine A Ball; Issa Coulibaly; Xiangqin Cui; Aedín C Culhane; Mario Falchi; Cesare Furlanello; Laurence Game; Giuseppe Jurman; Jon Mangion; Tapan Mehta; Michael Nitzberg; Grier P Page; Enrico Petretto; Vera van Noort
Journal:  Nat Genet       Date:  2008-01-28       Impact factor: 38.330

3.  Computer-aided detection of early interstitial lung diseases using low-dose CT images.

Authors:  Sang Cheol Park; Jun Tan; Xingwei Wang; Dror Lederman; Joseph K Leader; Soo Hyung Kim; Bin Zheng
Journal:  Phys Med Biol       Date:  2011-01-25       Impact factor: 3.609

4.  Usual Interstitial Pneumonia Can Be Detected in Transbronchial Biopsies Using Machine Learning.

Authors:  Daniel G Pankratz; Yoonha Choi; Urooj Imtiaz; Grażyna M Fedorowicz; Jessica D Anderson; Thomas V Colby; Jeffrey L Myers; David A Lynch; Kevin K Brown; Kevin R Flaherty; Mark P Steele; Steve D Groshong; Ganesh Raghu; Neil M Barth; P Sean Walsh; Jing Huang; Giulia C Kennedy; Fernando J Martinez
Journal:  Ann Am Thorac Soc       Date:  2017-11

5.  Computer-aided classification of interstitial lung diseases via MDCT: 3D adaptive multiple feature method (3D AMFM).

Authors:  Ye Xu; Edwin J R van Beek; Yu Hwanjo; Junfeng Guo; Geoffrey McLennan; Eric A Hoffman
Journal:  Acad Radiol       Date:  2006-08       Impact factor: 3.173
  5 in total

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