Taxiarchis Botsis
Taxiarchis Botsis
Assistant Professor, JHU
Verified email at
Cited by
Cited by
Natural language processing systems for capturing and standardizing unstructured clinical information: a systematic review
K Kreimeyer, M Foster, A Pandey, N Arya, G Halford, SF Jones, R Forshee, ...
Journal of biomedical informatics 73, 14-29, 2017
Secondary use of EHR: data quality issues and informatics opportunities
T Botsis, G Hartvigsen, F Chen, C Weng
Summit on translational bioinformatics 2010, 1, 2010
Current status and future perspectives in telecare for elderly people suffering from chronic diseases
T Botsis, G Hartvigsen
Journal of telemedicine and telecare 14 (4), 195-203, 2008
Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes
AZ Woldaregay, E ┼rsand, S Walderhaug, D Albers, L Mamykina, T Botsis, ...
Artificial intelligence in medicine 98, 109-134, 2019
Automatic detection of clustered microcalcifications in digital mammograms using mathematical morphology and neural networks
S Halkiotis, T Botsis, M Rangoussi
Signal Processing 87 (7), 1559-1568, 2007
Text mining for the Vaccine Adverse Event Reporting System: medical text classification using informative feature selection
T Botsis, MD Nguyen, EJ Woo, M Markatou, R Ball
Journal of the American Medical Informatics Association 18 (5), 631-638, 2011
Home telecare technologies for the elderly
T Botsis, G Demiris, S Pedersen, G Hartvigsen
Journal of Telemedicine and Telecare 14 (7), 333-337, 2008
Use of data mining at the Food and Drug Administration
HJ Duggirala, JM Tonning, E Smith, RA Bright, JD Baker, R Ball, C Bell, ...
Journal of the American Medical Informatics Association 23 (2), 428-434, 2016
Data-driven blood glucose pattern classification and anomalies detection: machine-learning applications in type 1 diabetes
AZ Woldaregay, E ┼rsand, T Botsis, D Albers, L Mamykina, G Hartvigsen
Journal of medical Internet research 21 (5), e11030, 2019
Sixteen years of ICPC use in Norwegian primary care: looking through the facts
T Botsis, CF Bass°e, G Hartvigsen
BMC Medical Informatics and Decision Making 10, 1-10, 2010
Seeing is believing: good graphic design principles for medical research
SP Duke, F Bancken, B Crowe, M Soukup, T Botsis, R Forshee
Statistics in medicine 34 (22), 3040-3059, 2015
Can network analysis improve pattern recognition among adverse events following immunization reported to VAERS?
R Ball, T Botsis
Clinical Pharmacology & Therapeutics 90 (2), 271-278, 2011
Vaccine adverse event text mining system for extracting features from vaccine safety reports
T Botsis, T Buttolph, MD Nguyen, S Winiecki, EJ Woo, R Ball
Journal of the American Medical Informatics Association 19 (6), 1011-1018, 2012
Evaluation of Natural Language Processing (NLP) systems to annotate drug product labeling with MedDRA terminology
T Ly, C Pamer, O Dang, S Brajovic, S Haider, T Botsis, D Milward, ...
Journal of biomedical informatics 83, 73-86, 2018
Text mining for large medical text datasets and corresponding medical text classification using informative feature selection
M Markatou, R Ball, T Botsis, MD Nguyen, EJ Woo
US Patent 9,075,796, 2015
The reach and feasibility of an interactive lung cancer screening decision aid delivered by patient portal
A Dharod, C Bellinger, K Foley, LD Case, D Miller
Applied Clinical Informatics 10 (01), 019-027, 2019
A new algorithmic approach for the extraction of temporal associations from clinical narratives with an application to medical product safety surveillance reports
W Wang, K Kreimeyer, EJ Woo, R Ball, M Foster, A Pandey, J Scott, ...
Journal of biomedical informatics 62, 78-89, 2016
Molecular classification of nonsmall cell lung cancer using a 4‐protein quantitative assay
VK Anagnostou, AT Dimou, T Botsis, EJ Killiam, MD Gustavson, ...
Cancer 118 (6), 1607-1618, 2012
Visual storytelling enhances knowledge dissemination in biomedical science
T Botsis, JE Fairman, MB Moran, V Anagnostou
Journal of biomedical informatics 107, 103458, 2020
Feature engineering and machine learning for causality assessment in pharmacovigilance: Lessons learned from application to the FDA Adverse Event Reporting System
K Kreimeyer, O Dang, J Spiker, MA Mu˝oz, G Rosner, R Ball, T Botsis
Computers in Biology and Medicine 135, 104517, 2021
The system can't perform the operation now. Try again later.
Articles 1–20