Subtyping: What It is and Its Role in Precision Medicine
作者： Suchi Saria , Anna Goldenberg
DOI: 10.1109/MIS.2015.60
关键词:
摘要: Precision medicine is an emerging approach that considers variability in genes, environment, and lifestyle order to better treat individuals. This article gives overview of the diverse approaches subtyping, from early accounts based on clinical practice more recent focus computationally derived subtypes molecular electronic health record (EHR) data. field expansive growing rapidly; authors juxtapose taken by different communities highlight examples significant open computational problems.
elsevier.com
ieeecomputersociety.org
computer.org参考文章(29)
Suchi Saria, Anna A. Penn, Daphne L. Koller, Anand K. Rajani, Gayle McElvain, Combining Structured and Free-text Data for Automatic Coding of Patient Outcomes. american medical informatics association annual symposium. ,vol. 2010, pp. 712- 716 ,(2010)
Fredrick Wigley, Suchi Saria, Peter Schulam, Clustering longitudinal clinical marker trajectories from electronic health data: applications to phenotyping and endotype discovery national conference on artificial intelligence. pp. 2956- 2964 ,(2015)
Atul J. Butte, Susan C. Weber, Todd A. Ferris, Henry J. Lowe, David P. Chen, Philip S. Constantinou, Clinical arrays of laboratory measures, or "clinarrays", built from an electronic health record enable disease subtyping by severity. american medical informatics association annual symposium. ,vol. 2007, pp. 115- 119 ,(2007)
Joyce C. Ho, Joydeep Ghosh, Jimeng Sun, Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization knowledge discovery and data mining. pp. 115- 124 ,(2014) , 10.1145/2623330.2623658
Joshua C Denny, Lisa Bastarache, Marylyn D Ritchie, Robert J Carroll, Raquel Zink, Jonathan D Mosley, Julie R Field, Jill M Pulley, Andrea H Ramirez, Erica Bowton, Melissa A Basford, David S Carrell, Peggy L Peissig, Abel N Kho, Jennifer A Pacheco, Luke V Rasmussen, David R Crosslin, Paul K Crane, Jyotishman Pathak, Suzette J Bielinski, Sarah A Pendergrass, Hua Xu, Lucia A Hindorff, Rongling Li, Teri A Manolio, Christopher G Chute, Rex L Chisholm, Eric B Larson, Gail P Jarvik, Murray H Brilliant, Catherine A McCarty, Iftikhar J Kullo, Jonathan L Haines, Dana C Crawford, Daniel R Masys, Dan M Roden, Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data Nature Biotechnology. ,vol. 31, pp. 1102- 1110 ,(2013) , 10.1038/NBT.2749
Leroy Hood, Stephen H. Friend, Predictive, personalized, preventive, participatory (P4) cancer medicine Nature Reviews Clinical Oncology. ,vol. 8, pp. 184- 187 ,(2011) , 10.1038/NRCLINONC.2010.227
Bo Wang, Aziz M Mezlini, Feyyaz Demir, Marc Fiume, Zhuowen Tu, Michael Brudno, Benjamin Haibe-Kains, Anna Goldenberg, Similarity network fusion for aggregating data types on a genomic scale Nature Methods. ,vol. 11, pp. 333- 337 ,(2014) , 10.1038/NMETH.2810
D R Mould, Models for Disease Progression: New Approaches and Uses Clinical Pharmacology & Therapeutics. ,vol. 92, pp. 125- 131 ,(2012) , 10.1038/CLPT.2012.53
Peter B. Jensen, Lars J. Jensen, Søren Brunak, Mining electronic health records: towards better research applications and clinical care Nature Reviews Genetics. ,vol. 13, pp. 395- 405 ,(2012) , 10.1038/NRG3208
J. Ewing, Diffuse Endothelioma of Bone CA: A Cancer Journal for Clinicians. ,vol. 22, pp. 95- 98 ,(1972) , 10.3322/CANJCLIN.22.2.95