Terry M. Therneau

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 11

Top Topics

Automatic Extraction

Natural Language Processing

Biomedical Text

Top Venues

Publications

Petrice M. Cogswell, Heather J. Wiste, Stephen D. Weigand, Terry M. Therneau, Clifford R. Jack Jr.
Response to "On the reproducibility of quantitative susceptibility mapping and its potential as a clinical biomarker: A comment on Cogswell et al. 2021". NeuroImage 251 (2022)
Terry M. Therneau, David S. Knopman, Val J. Lowe, Hugo Botha, Jonathan Graff-Radford, David T. Jones, Prashanthi Vemuri, Michelle M. Mielke, Christopher G. Schwarz, Matthew L. Senjem, Jeffrey L. Gunter, Ronald C. Petersen, Clifford R. Jack Jr.
Relationships between β-amyloid and tau in an elderly population: An accelerated failure time modelww. NeuroImage 242 (2021)
Christopher G. Schwarz, Terry M. Therneau, Stephen D. Weigand, Jeffrey L. Gunter, Val J. Lowe, Scott A. Przybelski, Matthew L. Senjem, Hugo Botha, Prashanthi Vemuri, Kejal Kantarci, Bradley F. Boeve, Jennifer L. Whitwell, Keith A. Josephs, Ronald C. Petersen, David S. Knopman, Clifford R. Jack Jr.
Selecting software pipelines for change in flortaucipir SUVR: Balancing repeatability and group separation. NeuroImage 238 (2021)
Petrice M. Cogswell, Heather J. Wiste, Matthew L. Senjem, Jeffrey L. Gunter, Stephen D. Weigand, Christopher G. Schwarz, Arvin Arani, Terry M. Therneau, Val J. Lowe, David S. Knopman, Hugo Botha, Jonathan Graff-Radford, David T. Jones, Kejal Kantarci, Prashanthi Vemuri, Bradley F. Boeve, Michelle M. Mielke, Ronald C. Petersen, Clifford R. Jack Jr.
Associations of quantitative susceptibility mapping with Alzheimer's disease clinical and imaging markers. NeuroImage 224 (2021)
Santiago Romero-Brufau, Daniel Whitford, Matthew G. Johnson, Joel Hickman, Bruce W. Morlan, Terry M. Therneau, James M. Naessens, Jeanne M. Huddleston
Using machine learning to improve the accuracy of patient deterioration predictions: Mayo Clinic Early Warning Score (MC-EWS). J. Am. Medical Informatics Assoc. 28 (6) (2021)
Yanshan Wang, Yiqing Zhao, Terry M. Therneau, Elizabeth J. Atkinson, Ahmad P. Tafti, Nan Zhang, Shreyasee Amin, Andrew H. Limper, Sundeep Khosla, Hongfang Liu
Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records. J. Biomed. Informatics 102 (2020)
Yanshan Wang, Yiqing Zhao, Terry M. Therneau, Elizabeth J. Atkinson, Ahmad P. Tafti, Nan Zhang, Shreyasee Amin, Andrew H. Limper, Hongfang Liu
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records. CoRR (2019)
Xin Zhou, Yanshan Wang, Sunghwan Sohn, Terry M. Therneau, Hongfang Liu, David S. Knopman
Automatic extraction and assessment of lifestyle exposures for Alzheimer's disease using natural language processing. Int. J. Medical Informatics 130 (2019)
Santiago Romero-Brufau, Kim Gaines, Matthew G. Johnson, Joel Hickman, Terry M. Therneau, Jeanne Huddleston
The Mayo Clinic Early Warning Score is superior to MEWS, and nursing pattern recognition can improve its accuracy further. AMIA (2018)
Dingcheng Li, Sijia Liu, Majid Rastegar-Mojarad, Yanshan Wang, Xiaodi Li, Vipin Chaudhary, Terry M. Therneau, Hongfang Liu
A Topic-modeling Based Framework for Drug-drug Interaction Classification from Biomedical Text. AMIA (2016)
Dingcheng Li, Sijia Liu, Majid Rastegar-Mojarad, Yanshan Wang, Xiaodi Li, Vipin Chaudhary, Terry M. Therneau, Hongfang Liu
Drug-drug Interaction Detection with A Topic-modeling Based Framework Augmented with Distant-supervision. AMIA (2016)
György J. Simon, Pedro J. Caraballo, Terry M. Therneau, Steven S. Cha, M. Regina Castro, Peter W. Li
Extending Association Rule Summarization Techniques to Assess Risk of Diabetes Mellitus. IEEE Trans. Knowl. Data Eng. 27 (1) (2015)
Saeed Mehrabi, Sunghwan Sohn, Dingcheng Li, Joshua J. Pankratz, Terry M. Therneau, Jennifer L. St. Sauver, Hongfang Liu, Mathew J. Palakal
Temporal Pattern and Association Discovery of Diagnosis Codes Using Deep Learning. ICHI (2015)
Travis M. Drucker, Sarah H. Johnson, Stephen J. Murphy, Kendall W. Cradic, Terry M. Therneau, George Vasmatzis
BIMA V3: an aligner customized for mate pair library sequencing. Bioinform. 30 (11) (2014)
Sarah E. Reese, Kellie J. Archer, Terry M. Therneau, Elizabeth J. Atkinson, Celine M. Vachon, Mariza de Andrade, Jean-Pierre A. Kocher, Jeanette E. Eckel-Passow
A new statistic for identifying batch effects in high-throughput genomic data that uses guided principal component analysis. Bioinform. 29 (22) (2013)
Steven N. Hart, Terry M. Therneau, Yuji Zhang, Gregory A. Poland, Jean-Pierre A. Kocher
Calculating Sample Size Estimates for RNA Sequencing Data. J. Comput. Biol. 20 (12) (2013)
High-Seng Chai, Terry M. Therneau, Kent R. Bailey, Jean-Pierre A. Kocher
Spatial normalization improves the quality of genotype calling for Affymetrix SNP 6.0 arrays. BMC Bioinform. 11 (2010)
Mingrui Zhang, Terry M. Therneau, Michael A. McKenzie, Peter W. Li, Ping Yang
A fuzzy c-means algorithm using a correlation metrics and gene ontology. ICPR (2008)
George Vasmatzis, Eric W. Klee, Dagmar M. Kube, Terry M. Therneau, Farhad Kosari
Quantitating tissue specificity of human genes to facilitate biomarker discovery. Bioinform. 23 (11) (2007)
Ann L. Oberg, Douglas W. Mahoney, Karla V. Ballman, Terry M. Therneau
Joint estimation of calibration and expression for high-density oligonucleotide arrays. Bioinform. 22 (19) (2006)
Jeanette E. Eckel-Passow, Ann L. Oberg, Terry M. Therneau, C. J. Mason, Douglas W. Mahoney, K. L. Johnson, J. E. Olson, H. R. Bergen III
O stable-isotope labeled mass spectrometry. Bioinform. 22 (22) (2006)
J. E. Eckel, C. Gennings, Terry M. Therneau, L. D. Burgoon, D. R. Boverhof, T. R. Zacharewski
Normalization of two-channel microarray experiments: a semiparametric approach. Bioinform. 21 (7) (2005)
Karla V. Ballman, Diane E. Grill, Ann L. Oberg, Terry M. Therneau
Faster cyclic loess: normalizing RNA arrays via linear models. Bioinform. 20 (16) (2004)