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Thomas A. Lasko

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2018
[j12]
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Sharidan K. Parr, Matthew S. Shotwell, Alvin D. Jeffery, Thomas A. Lasko, Michael E. Matheny:
Automated mapping of laboratory tests to LOINC codes using noisy labels in a national electronic health record system database. JAMIA 25(10): 1292-1300 (2018)
[j11]
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Linda Zhang, Daniel Fabbri, Thomas A. Lasko, Jesse M. Ehrenfeld, Jonathan P. Wanderer:
A System for Automated Determination of Perioperative Patient Acuity. J. Medical Systems 42(7): 123:1-123:11 (2018)
2017
[j10]
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Pedro L. Teixeira, Wei-Qi Wei, Robert M. Cronin, Huan Mo, Jacob P. VanHouten, Robert J. Carroll, Eric LaRose, Lisa Bastarache, S. Trent Rosenbloom, Todd L. Edwards, Dan M. Roden, Thomas A. Lasko, Richard A. Dart, Anne M. Nikolai, Peggy L. Peissig, Joshua C. Denny:
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals. JAMIA 24(1): 162-171 (2017)
[j9]
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Sharon E. Davis, Thomas A. Lasko, Guanhua Chen, Edward D. Siew, Michael E. Matheny:
Calibration drift in regression and machine learning models for acute kidney injury. JAMIA 24(6): 1052-1061 (2017)
[j8]
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Yukun Chen, Thomas A. Lasko, Qiaozhu Mei, Qingxia Chen, Sungrim Moon, Jingqi Wang, Ky Nguyen, Tolulola Dawodu, Trevor Cohen, Joshua C. Denny, Hua Xu:
An active learning-enabled annotation system for clinical named entity recognition. BMC Med. Inf. & Decision Making 17(2): 35-44 (2017)
[c13]
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Sharon E. Davis, Thomas A. Lasko, Guanhua Chen, Michael E. Matheny:
Calibration Drift Among Regression and Machine Learning Models for Hospital Mortality. AMIA 2017
2016
[c12]
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Jacob P. VanHouten, Christopher Fonnesbeck, Michael E. Matheny, Thomas A. Lasko:
The Discriminative Power of Non-Specific Laboratory Results. AMIA 2016
[c11]
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Sharon E. Davis, Thomas A. Lasko, Guanhua Chen, Michael E. Matheny:
Calibration Drift of Clinical Prediction Models Across Modeling Methods. CRI 2016
2015
[j7]
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  - journals/jbi/ChenLMDX15
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Yukun Chen, Thomas A. Lasko, Qiaozhu Mei, Joshua C. Denny, Hua Xu:
A study of active learning methods for named entity recognition in clinical text. Journal of Biomedical Informatics 58: 11-18 (2015)
[c10]
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Thomas A. Lasko:
Nonstationary Gaussian Process Regression for Evaluating Repeated Clinical Laboratory Tests. AAAI 2015: 1777-1783
[c9]
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Ravi V. Atreya, Thomas A. Lasko, Mia A. Levy:
Assessing Variability in Breast Cancer Treatment Paths Using Frequent Sequence Mining. AMIA 2015
[c8]
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Yukun Chen, Sungrim Moon, Thomas A. Lasko, Qiaozhu Mei, Jingqi Wang, Trevor Cohen, Qingxia Chen, Joshua C. Denny, Hua Xu:
Real Time Active Learning Study for Clinical Named Entity Recognition. AMIA 2015
2014
[j6]
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  - journals/jamia/SunMZPGDKLSM14
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Jimeng Sun, Candace D. McNaughton, Ping Zhang, Adam Perer, Aris Gkoulalas-Divanis, Joshua C. Denny, Jacqueline Kirby, Thomas A. Lasko, Alexander Saip, Bradley A. Malin:
Predicting changes in hypertension control using electronic health records from a chronic disease management program. JAMIA 21(2): 337-344 (2014)
[c7]
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Jacob P. VanHouten, John Starmer, Nancy M. Lorenzi, David J. Maron, Thomas A. Lasko:
Machine Learning for Risk Prediction of Acute Coronary Syndrome. AMIA 2014
[c6]
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Thomas A. Lasko:
Efficient Inference of Gaussian-Process-Modulated Renewal Processes with Application to Medical Event Data. UAI 2014: 469-476
[i1]
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Thomas A. Lasko:
Efficient Inference of Gaussian Process Modulated Renewal Processes with Application to Medical Event Data. CoRR abs/1402.4732 (2014)
2013
[j5]
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  - journals/jamia/WeiCXLBD13
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Wei-Qi Wei, Robert M. Cronin, Hua Xu, Thomas A. Lasko, Lisa Bastarache, Joshua C. Denny:
Development and evaluation of an ensemble resource linking medications to their indications. JAMIA 20(5): 954-961 (2013)
[c5]
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  - conf/amia/AtreyaLL13
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Ravi V. Atreya, Thomas A. Lasko, Mia A. Levy:
Role of ICD Granularity in Phenotyping Hematologic Malignancies for Tumor Registries. AMIA 2013
[c4]
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Yukun Chen, Thomas A. Lasko, Qiaozhu Mei, Joshua C. Denny, Hua Xu:
A Study of Active Learning Methods for Clinical Entities Recognition. AMIA 2013
[c3]
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  - conf/amia/VanHoutenSLL13
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Jacob P. VanHouten, John Starmer, Nancy M. Lorenzi, Thomas A. Lasko:
Random Forest Classification of Acute Coronary Syndromes. AMIA 2013
2012
[j4]
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  - journals/jamia/CarrollTEMCZPBLXKPGMRPPKLD12
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Robert J. Carroll, William K. Thompson, Anne E. Eyler, Arthur M. Mandelin, Tianxi Cai, Raquel M. Zink, Jennifer A. Pacheco, Chad S. Boomershine, Thomas A. Lasko, Hua Xu, Elizabeth W. Karlson, Raul G. Perez, Vivian S. Gainer, Shawn N. Murphy, Eric M. Ruderman, Richard M. Pope, Robert M. Plenge, Abel N. Kho, Katherine P. Liao, Joshua C. Denny:
Portability of an algorithm to identify rheumatoid arthritis in electronic health records. JAMIA 19(e1) (2012)
2010
[j3]
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  - journals/tkde/LaskoV10
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Thomas A. Lasko, Staal A. Vinterbo:
Spectral Anonymization of Data. IEEE Trans. Knowl. Data Eng. 22(3): 437-446 (2010)

2000 – 2009

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2007
[b1]
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Thomas A. Lasko:
Spectral anonymization of data. Massachusetts Institute of Technology, Cambridge, MA, USA 2007
2006
[j2]
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  - journals/jamia/LaskoABC06
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Thomas A. Lasko, Steven J. Atlas, Michael J. Barry, Henry C. Chueh:
Research Paper: Automated Identification of a Physician's Primary Patients. JAMIA 13(1): 74-79 (2006)
2005
[j1]
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  - journals/jbi/LaskoBZO05
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Thomas A. Lasko, Jui G. Bhagwat, Kelly H. Zou, Lucila Ohno-Machado:
The use of receiver operating characteristic curves in biomedical informatics. Journal of Biomedical Informatics 38(5): 404-415 (2005)
2002
[c2]
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  - conf/amia/LaskoFB02
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Thomas A. Lasko, Mitchell J. Feldman, G. Octo Barnett:
DXplain Evoking Strength - Clinician Interpretation and Consistency. AMIA 2002
2001
[c1]
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Thomas A. Lasko, Susan E. Hauser:
Approximate string matching algorithms for limited-vocabulary OCR output correction. Document Recognition and Retrieval 2001: 232-240

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