Terry M. Therneau

23 papers B 1Misc 3Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2022 J jnl
Response to "On the reproducibility of quantitative susceptibility mapping and its potential as a clinical biomarker: A comment on Cogswell et al. 2021".
NeuroImage
Petrice M. Cogswell, Heather J. Wiste, Stephen D. Weigand, Terry M. Therneau, Clifford R. Jack Jr.
2021 J jnl
Associations of quantitative susceptibility mapping with Alzheimer's disease clinical and imaging markers.
NeuroImage
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.
2021 J jnl
Relationships between β-amyloid and tau in an elderly population: An accelerated failure time modelww.
NeuroImage
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.
2021 J jnl
Selecting software pipelines for change in flortaucipir SUVR: Balancing repeatability and group separation.
NeuroImage
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.
2021 J jnl
Using machine learning to improve the accuracy of patient deterioration predictions: Mayo Clinic Early Warning Score (MC-EWS).
J. Am. Medical Informatics Assoc.
Santiago Romero-Brufau, Daniel Whitford, Matthew G. Johnson, Joel Hickman, Bruce W. Morlan, Terry M. Therneau, James M. Naessens, Jeanne M. Huddleston
2020 J jnl
Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records.
J. Biomed. Informatics
Yanshan Wang, Yiqing Zhao, Terry M. Therneau, Elizabeth J. Atkinson, Ahmad P. Tafti, Nan Zhang, Shreyasee Amin, Andrew H. Limper, Sundeep Khosla, Hongfang Liu
2019 J jnl
Automatic extraction and assessment of lifestyle exposures for Alzheimer's disease using natural language processing.
Int. J. Medical Informatics
Xin Zhou, Yanshan Wang, Sunghwan Sohn, Terry M. Therneau, Hongfang Liu, David S. Knopman
2019 J jnl
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records.
CoRR
Yanshan Wang, Yiqing Zhao, Terry M. Therneau, Elizabeth J. Atkinson, Ahmad P. Tafti, Nan Zhang, Shreyasee Amin, Andrew H. Limper, Hongfang Liu
2018 Misc conf
The Mayo Clinic Early Warning Score is superior to MEWS, and nursing pattern recognition can improve its accuracy further.
AMIA
Santiago Romero-Brufau, Kim Gaines, Matthew G. Johnson, Joel Hickman, Terry M. Therneau, Jeanne Huddleston
2016 Misc conf
A Topic-modeling Based Framework for Drug-drug Interaction Classification from Biomedical Text.
AMIA
Dingcheng Li, Sijia Liu, Majid Rastegar-Mojarad, Yanshan Wang, Xiaodi Li, Vipin Chaudhary, Terry M. Therneau, Hongfang Liu
2016 Misc conf
Drug-drug Interaction Detection with A Topic-modeling Based Framework Augmented with Distant-supervision.
AMIA
Dingcheng Li, Sijia Liu, Majid Rastegar-Mojarad, Yanshan Wang, Xiaodi Li, Vipin Chaudhary, Terry M. Therneau, Hongfang Liu
2015 J jnl
Extending Association Rule Summarization Techniques to Assess Risk of Diabetes Mellitus.
IEEE Trans. Knowl. Data Eng.
György J. Simon, Pedro J. Caraballo, Terry M. Therneau, Steven S. Cha, M. Regina Castro, Peter W. Li
2015 — conf
Temporal Pattern and Association Discovery of Diagnosis Codes Using Deep Learning.
ICHI
Saeed Mehrabi, Sunghwan Sohn, Dingcheng Li, Joshua J. Pankratz, Terry M. Therneau, Jennifer L. St. Sauver, Hongfang Liu, Mathew J. Palakal
2014 J jnl
BIMA V3: an aligner customized for mate pair library sequencing.
Bioinform.
Travis M. Drucker, Sarah H. Johnson, Stephen J. Murphy, Kendall W. Cradic, Terry M. Therneau, George Vasmatzis
2013 J jnl
A new statistic for identifying batch effects in high-throughput genomic data that uses guided principal component analysis.
Bioinform.
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
2013 J jnl
Calculating Sample Size Estimates for RNA Sequencing Data.
J. Comput. Biol.
Steven N. Hart, Terry M. Therneau, Yuji Zhang, Gregory A. Poland, Jean-Pierre A. Kocher
2010 J jnl
Spatial normalization improves the quality of genotype calling for Affymetrix SNP 6.0 arrays.
BMC Bioinform.
High-Seng Chai, Terry M. Therneau, Kent R. Bailey, Jean-Pierre A. Kocher
2008 B conf
A fuzzy c-means algorithm using a correlation metrics and gene ontology.
ICPR
Mingrui Zhang, Terry M. Therneau, Michael A. McKenzie, Peter W. Li, Ping Yang
2007 J jnl
Quantitating tissue specificity of human genes to facilitate biomarker discovery.
Bioinform.
George Vasmatzis, Eric W. Klee, Dagmar M. Kube, Terry M. Therneau, Farhad Kosari
2006 J jnl
Joint estimation of calibration and expression for high-density oligonucleotide arrays.
Bioinform.
Ann L. Oberg, Douglas W. Mahoney, Karla V. Ballman, Terry M. Therneau
2006 J jnl
Regression analysis for comparing protein samples with
Bioinform.
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
2005 J jnl
Normalization of two-channel microarray experiments: a semiparametric approach.
Bioinform.
Jeanette E. Eckel, C. Gennings, Terry M. Therneau, L. D. Burgoon, D. R. Boverhof, Timothy R. Zacharewski
2004 J jnl
Faster cyclic loess: normalizing RNA arrays via linear models.
Bioinform.
Karla V. Ballman, Diane E. Grill, Ann L. Oberg, Terry M. Therneau