The innovative module of the medical data and medicine analysis system dedicated to the medical sector. (Q77896): Difference between revisions
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(Created claim: summary (P836): Reference_reference_programme_aids:SA.41471 (2015/X) _public:Article 25 of Commission Regulation (EC) No 651/2014 of 17 June 2014 declaring certain categories of aid compatible with the internal market in the application of Article 107 and 108 of the Treaty (OJ(OJ LEU L 187/1, 26.06.2014).The main objective of the project is to carry out research and development (R & D) which will result in an innovative module of the medical data and medicine a...) |
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Reference_reference_programme_aids:SA.41471 (2015/X) _public:Article 25 of Commission Regulation (EC) No 651/2014 of 17 June 2014 declaring certain categories of aid compatible with the internal market in the application of Article 107 and 108 of the Treaty (OJ(OJ LEU L 187/1, 26.06.2014).The main objective of the project is to carry out research and development (R & D) which will result in an innovative module of the medical data and medicine analysis system dedicated to the medical sector, selecting and adapting the use of medical and diagnostic tools to the patient’s illness.The planned solution will also apply in the early warning to disease or epidemiological threats in the geographical areas concerned.The subject itself will focus on the development of innovative data processing tools and gorse, including, but not limited to, algorithms that reflect the content of drug descriptions in the form of a knowledge base, automated interview and medical knowledge algorithms, algorithms extracting structural benchmarks from the records of visits, classifying patients with machine learning algorithms, algorithms for processing the texts with typing algorithms that will be integrated into the medical data and medicine analysis module in question.The resulting solution will be innovative, comprehensive and more comprehensive in relation to the products available on the market, achievable by using and using the natural language (NLP), modern algorithms and machine learning techniques.The results of the project will address market problems that have not yet been resolved.The results of the project will be implemented by the Applicant within 3 years of the completion of the research through the implementation of the results of the work in its own business. (English) | |||
| Property / summary: Reference_reference_programme_aids:SA.41471 (2015/X) _public:Article 25 of Commission Regulation (EC) No 651/2014 of 17 June 2014 declaring certain categories of aid compatible with the internal market in the application of Article 107 and 108 of the Treaty (OJ(OJ LEU L 187/1, 26.06.2014).The main objective of the project is to carry out research and development (R & D) which will result in an innovative module of the medical data and medicine analysis system dedicated to the medical sector, selecting and adapting the use of medical and diagnostic tools to the patient’s illness.The planned solution will also apply in the early warning to disease or epidemiological threats in the geographical areas concerned.The subject itself will focus on the development of innovative data processing tools and gorse, including, but not limited to, algorithms that reflect the content of drug descriptions in the form of a knowledge base, automated interview and medical knowledge algorithms, algorithms extracting structural benchmarks from the records of visits, classifying patients with machine learning algorithms, algorithms for processing the texts with typing algorithms that will be integrated into the medical data and medicine analysis module in question.The resulting solution will be innovative, comprehensive and more comprehensive in relation to the products available on the market, achievable by using and using the natural language (NLP), modern algorithms and machine learning techniques.The results of the project will address market problems that have not yet been resolved.The results of the project will be implemented by the Applicant within 3 years of the completion of the research through the implementation of the results of the work in its own business. (English) / rank | |||
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Revision as of 08:54, 4 March 2020
Project in Poland financed by DG Regio
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | The innovative module of the medical data and medicine analysis system dedicated to the medical sector. |
Project in Poland financed by DG Regio |
Statements
5,326,736.94 zloty
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1,278,416.8656000001 Euro
0.24 Euro
13 January 2020
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6,992,685.0 zloty
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76.18 percent
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1 January 2018
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31 January 2021
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"LEKSEEK POLSKA SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ" SPÓŁKA KOMANDYTOWA
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52°14'1.3"N, 21°4'17.0"E
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Numer_referencyjny_programu_pomocowego: SA.41471(2015/X) Przeznaczenie_pomocy_publicznej: art. 25 rozporządzenia KE nr 651/2014 z dnia 17 czerwca 2014 r. uznające niektóre rodzaje pomocy za zgodne z rynkiem wewnętrznym w stosowaniu art. 107 i 108 Traktatu (Dz. Urz. UE L 187/1 z 26.06.2014). Celem głównym projektu jest przeprowadzenie prac badawczo-rozwojowych, których rezultatem będzie innowacyjny moduł systemu analizy danych medycznych i leków dedykowany dla sektora medycznego, mogący selekcjonować i dostosowywać wykorzystywane narzędzia medyczne i diagnostyczne do przebiegu choroby pacjenta. Planowane rozwiązanie będzie miało też zastosowanie przy wczesnym ostrzeganiu o zagrożeniach chorobowych czy epidemiologicznych na danych obszarach geograficznych. Sam przedmiot prac badawczych będzie dotyczył opracowania innowacyjnych narzędzi do przetwarzania danych oraz algorytów, w tym m.in. algorytmy odwzorowujące treść opisów leków w postaci bazy wiedzy , algorytmy wiążące dane pochodzące z wywiadu i badania lekarskiego z bazą wiedzy o lekach, algorytmy wydobywające wzorce strukturalne z zapisów wizyt, klasyfikujące pacjentów algorytmy maszynowego uczenia się, algorytmy do przetwarzania tekstów z literówkami, które zostaną zintegrowane w przedmiotowy moduł systemu analizy danych medycznych i leków . Powstałe rozwiązanie będzie innowacyjne, kompleksowe i bardziej wszechstronne w stosunku do dostępnych na rynku produktów, możliwe do osiągnięcia dzięki wykorzystaniu i zastosowaniu przetwarzania języka naturalnego ( NLP), nowoczesnych algorytmów i technik uczenia maszynowego . Rezultaty projektu będą stanowić odpowiedź na problemy rynkowe, które nie zostały dotychczas rozwiązane. Wyniki projektu zostaną wdrożone przez Wnioskodawcę w okresie 3 lat od zakończenia prac badawczych poprzez wdrożenie rezultatów prac we własnej działalności gospodarczej. (Polish)
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Reference_reference_programme_aids:SA.41471 (2015/X) _public:Article 25 of Commission Regulation (EC) No 651/2014 of 17 June 2014 declaring certain categories of aid compatible with the internal market in the application of Article 107 and 108 of the Treaty (OJ(OJ LEU L 187/1, 26.06.2014).The main objective of the project is to carry out research and development (R & D) which will result in an innovative module of the medical data and medicine analysis system dedicated to the medical sector, selecting and adapting the use of medical and diagnostic tools to the patient’s illness.The planned solution will also apply in the early warning to disease or epidemiological threats in the geographical areas concerned.The subject itself will focus on the development of innovative data processing tools and gorse, including, but not limited to, algorithms that reflect the content of drug descriptions in the form of a knowledge base, automated interview and medical knowledge algorithms, algorithms extracting structural benchmarks from the records of visits, classifying patients with machine learning algorithms, algorithms for processing the texts with typing algorithms that will be integrated into the medical data and medicine analysis module in question.The resulting solution will be innovative, comprehensive and more comprehensive in relation to the products available on the market, achievable by using and using the natural language (NLP), modern algorithms and machine learning techniques.The results of the project will address market problems that have not yet been resolved.The results of the project will be implemented by the Applicant within 3 years of the completion of the research through the implementation of the results of the work in its own business. (English)
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Identifiers
POIR.01.01.01-00-0328/17
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