Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings |
| Untertitel | 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems, CBMS 2020 |
| Herausgeber/-innen | Alba Garcia Seco de Herrera, Alejandro Rodriguez Gonzalez, KC Santosh, Zelalem Temesgen, Bridget Kane, Paolo Soda |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 193-196 |
| Seitenumfang | 4 |
| ISBN (elektronisch) | 9781728194295 |
| Publikationsstatus | Veröffentlicht - 2020 |
| Extern publiziert | Ja |
| Veranstaltung | 33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020 - Virtual, Online, USA / Vereinigte Staaten Dauer: 28 Juli 2020 → 30 Juli 2020 |
Publikationsreihe
| Name | Proceedings - IEEE Symposium on Computer-Based Medical Systems |
|---|---|
| Band | 2020-July |
| ISSN (Print) | 1063-7125 |
Abstract
Cancer remains one of the major public health challenges worldwide. After cardiovascular diseases, cancer is one of the first causes of death and morbidity in Europe, with more than 4 million new cases and 1.9 million deaths per year. The suboptimal management of cancer patients during treatment and subsequent follows up are major obstacles in achieving better outcomes of the patients and especially regarding cost and quality of life In this paper, we present an initial data-driven approach to analyze the resources and services that are used more frequently by lung-cancer patients with the aim of identifying where the care process can be improved by paying a special attention on services before diagnosis to being able to identify possible lung-cancer patients before they are diagnosed and by reducing the length of stay in the hospital. Our approach has been built by analyzing the clinical notes of those oncological patients to extract this information and their relationships with other variables of the patient. Although the approach shown in this manuscript is very preliminary, it shows that quite interesting outcomes can be derived from further analysis.
ASJC Scopus Sachgebiete
- Medizin (insg.)
- Radiologie, Nuklearmedizin und Bildgebung
- Informatik (insg.)
- Angewandte Informatik
Ziele für nachhaltige Entwicklung
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- BibTex
- RIS
Proceedings: 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems, CBMS 2020. Hrsg. / Alba Garcia Seco de Herrera; Alejandro Rodriguez Gonzalez; KC Santosh; Zelalem Temesgen; Bridget Kane; Paolo Soda. Institute of Electrical and Electronics Engineers Inc., 2020. S. 193-196 9183213 (Proceedings - IEEE Symposium on Computer-Based Medical Systems; Band 2020-July).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - A data-driven approach for analyzing healthcare services extracted from clinical records
AU - Scurti, Manuel
AU - Menasalvas Ruiz, Ernestina
AU - Vidal, Maria Esther
AU - Torrente, Maria
AU - Vogiatzis, Dimitrios
AU - Paliouras, George
AU - Provencio, Mariano
AU - Rodriguez Gonzalez, Alejandro
N1 - Funding information: This work is supported by the EU Horizon 2020 innovation programme under grant agreement No. 780495, project BigMedilytics (Big Data for Medical Analytics). The work is also a result of a Horizon 2020 research and innovation programme under grant agreement No. 727658, project IASIS (Integration and analysis of heterogeneous big data for precision medicine and suggested treatments for different types of patients). ACKNOWLEDGMENT This work is supported by the EU Horizon 2020 innovation programme under grant agreement No. 780495, project BigMedilytics (Big Data for Medical Analytics). The work is also a result of a Horizon 2020 research and innovation programme under grant agreement No. 727658, project IASIS (Integration and analysis of heterogeneous big data for precision medicine and suggested treatments for different types of patients).
PY - 2020
Y1 - 2020
N2 - Cancer remains one of the major public health challenges worldwide. After cardiovascular diseases, cancer is one of the first causes of death and morbidity in Europe, with more than 4 million new cases and 1.9 million deaths per year. The suboptimal management of cancer patients during treatment and subsequent follows up are major obstacles in achieving better outcomes of the patients and especially regarding cost and quality of life In this paper, we present an initial data-driven approach to analyze the resources and services that are used more frequently by lung-cancer patients with the aim of identifying where the care process can be improved by paying a special attention on services before diagnosis to being able to identify possible lung-cancer patients before they are diagnosed and by reducing the length of stay in the hospital. Our approach has been built by analyzing the clinical notes of those oncological patients to extract this information and their relationships with other variables of the patient. Although the approach shown in this manuscript is very preliminary, it shows that quite interesting outcomes can be derived from further analysis.
AB - Cancer remains one of the major public health challenges worldwide. After cardiovascular diseases, cancer is one of the first causes of death and morbidity in Europe, with more than 4 million new cases and 1.9 million deaths per year. The suboptimal management of cancer patients during treatment and subsequent follows up are major obstacles in achieving better outcomes of the patients and especially regarding cost and quality of life In this paper, we present an initial data-driven approach to analyze the resources and services that are used more frequently by lung-cancer patients with the aim of identifying where the care process can be improved by paying a special attention on services before diagnosis to being able to identify possible lung-cancer patients before they are diagnosed and by reducing the length of stay in the hospital. Our approach has been built by analyzing the clinical notes of those oncological patients to extract this information and their relationships with other variables of the patient. Although the approach shown in this manuscript is very preliminary, it shows that quite interesting outcomes can be derived from further analysis.
KW - Data-driven
KW - EHR
KW - Hospitalization processes
KW - Lung cancer
KW - Patient management
UR - http://www.scopus.com/inward/record.url?scp=85091146969&partnerID=8YFLogxK
U2 - 10.1109/CBMS49503.2020.00044
DO - 10.1109/CBMS49503.2020.00044
M3 - Conference contribution
AN - SCOPUS:85091146969
T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems
SP - 193
EP - 196
BT - Proceedings
A2 - de Herrera, Alba Garcia Seco
A2 - Rodriguez Gonzalez, Alejandro
A2 - Santosh, KC
A2 - Temesgen, Zelalem
A2 - Kane, Bridget
A2 - Soda, Paolo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020
Y2 - 28 July 2020 through 30 July 2020
ER -