@inproceedings{9183213,
  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.},
  added-at = {2022-03-13T13:36:40.000+0100},
  author = {Scurti, Manuel and Menasalvas Ruiz, Ernestina and Vidal, Maria Esther and Torrente, Maria and Vogiatzis, Dimitrios and Paliouras, George and Provencio, Mariano and Rodríguez González, Alejandro},
  biburl = {https://www.bibsonomy.org/bibtex/240be824f6ece991ed62c42380a86793e/mevs},
  booktitle = {2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)},
  doi = {10.1109/CBMS49503.2020.00044},
  interhash = {98c660c5770590904486e4bc55c84288},
  intrahash = {40be824f6ece991ed62c42380a86793e},
  issn = {2372-9198},
  keywords = {knowledge-graphs myown semanticdataintegration},
  month = {July},
  pages = {193-196},
  timestamp = {2023-03-15T21:34:46.000+0100},
  title = {A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records},
  url = {https://ieeexplore.ieee.org/document/9183213/},
  year = 2020
}

@inproceedings{conf/cbms/ScurtiRVTVPPG20,
  added-at = {2021-10-14T00:00:00.000+0200},
  author = {Scurti, Manuel and Ruiz, Ernestina Menasalvas and Vidal, Maria-Esther and Torrente, Maria and Vogiatzis, Dimitrios and Paliouras, George and Provencio, Mariano and González, Alejandro Rodríguez},
  biburl = {https://www.bibsonomy.org/bibtex/2abd438b5f80e4c36a20d42fd1f07c9bb/dblp},
  booktitle = {CBMS},
  crossref = {conf/cbms/2020},
  editor = {de Herrera, Alba García Seco and González, Alejandro Rodríguez and Santosh, KC and Temesgen, Zelalem and Kane, Bridget and Soda, Paolo},
  ee = {https://doi.org/10.1109/CBMS49503.2020.00044},
  interhash = {98c660c5770590904486e4bc55c84288},
  intrahash = {abd438b5f80e4c36a20d42fd1f07c9bb},
  isbn = {978-1-7281-9429-5},
  keywords = {dblp},
  pages = {193-196},
  publisher = {IEEE},
  timestamp = {2024-04-09T16:12:35.000+0200},
  title = {A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records.},
  url = {http://dblp.uni-trier.de/db/conf/cbms/cbms2020.html#ScurtiRVTVPPG20},
  year = 2020
}