Georgy Kopanitsa
Biographic Data
| ID | 7885649 |
|---|---|
| NAME | Georgy Kopanitsa |
| GIVEN NAMES | Georgy |
| FAMILY NAME | Kopanitsa |
| SIGNATURE | KOPANITSA G |
| AFFILIATIONS | ITMO University |
| ORCID | 0000-0002-6231-8036 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 0 |
Comparison of Word Embeddings for Extraction from Medical Records
This paper is an extension of the work originally presented in the 16th International Conference on Wearable, Micro and Nano Technologies for Personalized Health. Despite using electronic medical records, free narrative text is still widely used for medical records. To make data from texts available for decision support systems, supervised machine learning algorithms might be successfully applied. In this work, we developed and compared a prototy…
Experience in Developing an FHIR Medical Data Management Platform to Provide Clinical Decision Support
This paper is an extension of work originally presented to pHealth 2019-16th International Conference on Wearable, Micro and Nano Technologies for Personalized Health. To provide an efficient decision support, it is necessary to integrate clinical decision support systems (CDSSs) in information systems routinely operated by healthcare professionals, such as hospital information systems (HISs), or by patients deploying their personal health record…
No prominent works on this page.
Comparison of Word Embeddings for Extraction from Medical Records
This paper is an extension of the work originally presented in the 16th International Conference on Wearable, Micro and Nano Technologies for Personalized Health. Despite using electronic medical records, free narrative text is still widely used for medical records. To make data from texts available for decision support systems, supervised machine learning algorithms might be successfully applied. In this work, we developed and compared a prototy…
Experience in Developing an FHIR Medical Data Management Platform to Provide Clinical Decision Support
This paper is an extension of work originally presented to pHealth 2019-16th International Conference on Wearable, Micro and Nano Technologies for Personalized Health. To provide an efficient decision support, it is necessary to integrate clinical decision support systems (CDSSs) in information systems routinely operated by healthcare professionals, such as hospital information systems (HISs), or by patients deploying their personal health record…
Computer Science (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare (1 work) · Artificial neural network (1 work) · Biomedical Text Mining and Ontologies (1 work) · Clinical decision support system (1 work) · Context (archaeology (1 work) · Convolutional neural network (1 work) · Data mining (1 work) · Data Quality and Management (1 work)