https://aleksandra-butneva.netlify.app/tag/spacy/SpaCyWowchemy (https://wowchemy.com)en-us&copy 2021Thu, 21 Jan 2021 00:00:00 +0000https://aleksandra-butneva.netlify.app/images/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_2.pnghttps://aleksandra-butneva.netlify.app/tag/spacy/https://aleksandra-butneva.netlify.app/web_presence/rospatent2/Thu, 21 Jan 2021 00:00:00 +0000https://aleksandra-butneva.netlify.app/web_presence/rospatent2/https://aleksandra-butneva.netlify.app/web_presence/unimastory/Thu, 21 Jan 2021 00:00:00 +0000https://aleksandra-butneva.netlify.app/web_presence/unimastory/https://aleksandra-butneva.netlify.app/project/nlp/Thu, 27 Aug 2020 00:00:00 +0000https://aleksandra-butneva.netlify.app/project/nlp/<h2 id="python-based-nlp-classifier-of-medical-services-in-the-field-of-e-health-to-optimize-the-interaction-among-participants-of-the-e-health-model">Python-based NLP Classifier of medical services in the field of e-health to optimize the interaction among participants of the e-health model</h2> <h1 id="certificate-of-state-registration-of-computer-programs-in-the-federal-service-for-intellectual-property-of-the-russian-federation--2020667510-from-24122020">Certificate of state registration of computer programs (in the Federal Service for Intellectual Property of the Russian Federation) № 2020667510 from 24.12.2020</h1> <p><strong>Copyright holders:</strong> Shaimieva Elmira Shamilevna (RU), Butneva Alexandra Yuryevna (RU), Gumerova Guzel Isaevna (RU)*</p> <p><strong>Authors:</strong> Shaimieva Elmira Shamilevna (RU), Butneva Alexandra Yuryevna (RU), Gumerova Guzel Isaevna( RU), Stefan Martin Jens Tobias Huesig (Ger), Schewe Gerhard Paul Herbert (Ger)*</p> <p><strong>Object:</strong> Russian e-health system</p> <p><strong>Target groups:</strong> patients (P), doctors (D), health insurance (I)</p> <p><strong>Characteristics:</strong> Windows 10, Python 3.8 (64-bite version), supported by C++ Build Tools in Visual Studio and command prompt</p> <p><strong>Objectives:</strong></p> <ol> <li> <p>Advancing NLP libraries for a better recognition of high-level Russian texts, e.g., scholarly literature, medical acts.</p> </li> <li> <p>Defining key abbreviations in the telemedicine area</p> </li> <li> <p>Defining core e-health actors</p> </li> <li> <p>Visualizing processed texts, semantic trends for obtaining specific P, D, I information about the content</p> </li> </ol>