• Eric LaRose

  • Software Engineer Specialist


    • MCRI - MCRI-Res Computing and Analyt
    • 1000 North Oak Ave. ML9 Marshfield, WI 54449
    • (715) 389-3591

Education

2006 to 2010:
B.S., Applied Mathematics and Computer Science - Concentration in Software Development, University of Wisconsin - Stout, Menomonie, WI

Work Experience

2010 to Present:
Programmer/Analyst Specialist, Marshfield Clinic Research Institute, Marshfield, WI

Statement

My work at MCRI includes application development on both web and windows platforms, database development and management, and other general support and maintenance for both administrative and grant funded research. Most of my work is in C#, ASP.NET, and MS SQL, though I have experience in other query and coding languages.

Research Interests

Machine Learning
Natural Language Processing
Big Data and Data Management
Decision Support Systems
Data Mining
Database Design/Implementation
Data Management
Health Data Monitoring

Select Publications

  • 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.] Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals. J Am Med Inform Assoc. 2017 January; 2017 Jan(24(1)):162-171. doi: 10.1093/JAMIA/OCW071. PMCID: PMC5201185.
    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. AMIA Jt Summits Transl Sci Proc.. 2018 May 18; 2017 :139-146. PMCID: PMC5961821.
    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