Profiling Lung Cancer Patients Using Electronic Health Records.

Autor:	Menasalvas Ruiz, Ernestina, Tuñas, Juan Manuel, Bermejo, Guzmán, Gonzalo Martín, Consuelo, Rodríguez-González, Alejandro, Zanin, Massimiliano, González de Pedro, Cristina, Méndez, Marta, Zaretskaia, Olga, Rey, Jesús, Parejo, Consuelo, Cruz Bermudez, Juan Luis, Provencio, Mariano
Předmět:	ELECTRONIC health records NATURAL language processing LUNG cancer patients TELEMEDICINE LUNG cancer treatment CANCER patients CONCEPTUAL structures STATISTICAL correlation INFORMATION retrieval LUNG tumors PROBABILITY theory RESEARCH funding DATA analysis software DESCRIPTIVE statistics
Zdroj:	Journal of Medical Systems; Jul2018, Vol. 42 Issue 7, p1-1, 1p, 2 Color Photographs, 1 Diagram, 2 Charts, 8 Graphs, 1 Map
Abstrakt:	If Electronic Health Records contain a large amount of information about the patient’s condition and response to treatment, which can potentially revolutionize the clinical practice, such information is seldom considered due to the complexity of its extraction and analysis. We here report on a first integration of an NLP framework for the analysis of clinical records of lung cancer patients making use of a telephone assistance service of a major Spanish hospital. We specifically show how some relevant data, about patient demographics and health condition, can be extracted; and how some relevant analyses can be performed, aimed at improving the usefulness of the service. We thus demonstrate that the use of EHR texts, and their integration inside a data analysis framework, is technically feasible and worth of further study. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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