Healthcare Systems On the Verge of a Digital Revolution
Python-based NLP Classifier of medical services in the field of e-health to optimize the interaction among participants of the e-health model
Certificate of state registration of computer programs (in the Federal Service for Intellectual Property of the Russian Federation) № 2020667510 from 24.12.2020
Copyright holders: Shaimieva Elmira Shamilevna (RU), Butneva Alexandra Yuryevna (RU), Gumerova Guzel Isaevna (RU)*
Authors: Shaimieva Elmira Shamilevna (RU), Butneva Alexandra Yuryevna (RU), Gumerova Guzel Isaevna( RU), Stefan Martin Jens Tobias Huesig (Ger), Schewe Gerhard Paul Herbert (Ger)*
Object: Russian e-health system
Target groups: patients (P), doctors (D), health insurance (I)
Characteristics: Windows 10, Python 3.8 (64-bite version), supported by C++ Build Tools in Visual Studio and command prompt
Objectives:
Advancing NLP libraries for a better recognition of high-level Russian texts, e.g., scholarly literature, medical acts.
Defining key abbreviations in the telemedicine area
Defining core e-health actors
Visualizing processed texts, semantic trends for obtaining specific P, D, I information about the content
Aleksandra Butneva
Research Assistant at the Chair for Quantitative Methods in Social Sciences and the School of Business Informatics
I am a Research Assistant and at the University of Mannheim in Germany, Chair for Quantitative Methods in Social Sciences. I research at the intersection of data science, political methodology, and comparative politics. I specialize in machine learning and innovation management, developing NLP-based applications for political science questions.