Office of Research Computing and Analytics
1000 North Oak Ave. ML9 Marshfield, WI 54449
- 2006 to 2010:
- B.S., Applied Mathematics and Computer Science - Concentration in Software Development, University of Wisconsin - Stout, Menomonie, WI
- 2010 to Present:
- Programmer/Analyst Specialist, Marshfield Clinic Research Institute, Marshfield, WI
My work at MCRF includes application development on both web and windows platforms, database development and management, and other general support and maintence for both administrative and grant funded research. Most of my work is in C#, .NET, MS SQL, and SAS, though I have experience in other query and coding languages.
More recently I have gotten the opportunity to work with several big data and NLP platforms (ElasticSearch DB, Hadoop, cTakes NLP, etc.).
Natural Language Processing
Big Data and Data Management
Decision Support Systems
Health Data Monitoring
Tafti AP, LaRose E, Badger JC, Kleiman R, Peissig P. (2017). Machine Learning-as-a-Service and Its Application to Medical Informatics. In: Perner P (Ed.), Machine Learning and Data Mining in Pattern Recognition. (Vol. 10358). (pp. 10358). Springer.
Teixeira PL, Wei WQ, Cronin RM, Mo H, VanHouten JP, Carroll RJ,...Denny JC [including LaRose E, Dart RA, Nikolai AM, Peissig PL.] (2017 January). Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals. J Am Med Inform Assoc.
PubMed ID: 27497800
Tafti AP, Badger J, LaRose E, Shirzadi E, Mahnke M, Mayer J,...Peissig PL [including Ye Z.] (2017 Nov). Adverse Drug event Discovery using Biomedical Literature: a Big Data Neural Network Adventure. JMIR Med Inform.
Ahmad P. Tafti, Ehsun Behravesh, Mehdi Assefi, Eric LaRose, Jonathan Badger, John Mayer,...Peggy Peissig. (2017 Dec). bigNN: An open-source big data toolkit focused on biomedical sentence classification. 2017 IEEE International Conference on Big Data (Big Data).
Kleiman RS, LaRose ER, Badger JC, Page D, Caldwell MD, Clay JA, Peissig PL. Using Machine Learning Algorithms to Predict Risk for Development of Calciphylaxis in Patients with Chronic Kidney Disease. [published online ahead of print 2018 May 18]. AMIA Jt Summits Transl Sci Proc.. 2017 :139-146.
PubMed ID: 29888059
Bashiri FS, LaRose E, Badger JC, D’Souza RM, Yu Z, Peissig P. Object Detection to Assist Visually Impaired People: A Deep Neural Network Adventure. Advances in Visual Computing. 2018 November 10; 11241
Pacheco JA, Rasmussen LV, Kiefer RC, Campion TR, Speltz P, Carroll RJ,...Thompson WK [including LaRose ER, Peissig PL.] A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments. J Am Med Inform Assoc. 2018 November 1; 25(11):1540-1546.
PubMed ID: 30124903
Ahmad P. Tafti, Fereshteh S. Bashiri, Eric LaRose, Peggy Peissig. Diagnostic Classification of Lung CT Images Using Deep 3D Multi-Scale Convolutional Neural Network. 2018 IEEE International Conference on Healthcare Informatics (ICHI). 2018 June;
Bashiri FS, LaRose E, Peissig P, Tafti AP. MCIndoor20000: A fully-labeled image dataset to advance indoor objects detection. [published online ahead of print 2018 April]. Data Brief. 17 :71-75.
PubMed ID: 29876376
Tafti AP, Assefi M, LaRose E, Badger J, Ye Z, Shimpi N,...Peissig P [including Bashiri FS, Sagheb E, McLean H.] Big data deep neural network to analyze adverse vaccine reactions. AMIA 2018 Informatics Summit. 2018 March;
Badger J, LaRose E, Mayer J, Bashiri F, Page D, Peissig P. Machine learning for phenotyping opioid overdose events. J Biomed Inform. 2019 June; 94 :103185. PMCID: PMC6622451.
PubMed ID: 31028874