2023
DOI: 10.1016/j.endinu.2022.11.003
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Carcinoma de tiroides en personas mayores: caracterización mediante herramientas de big data

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Cited by 6 publications
(4 citation statements)
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“…Although several investigators have analyzed the recurrence rate of thyroid cancer in older patients [16,17] we have not found speci c studies focusing on the consumption of healthcare resources. In an analysis of all thyroid cancers diagnosed in a single center using arti cial intelligence methods, we were able to demonstrate that very old people (≥ 75 years) were not higher consumers of healthcare resources than elderly patients (60-74 years) [34]. We observed that patients ≥ 75 years presented a signi cant increase in the consumption of diagnostic procedures such as and PET scans.…”
Section: Discussionmentioning
confidence: 84%
“…Although several investigators have analyzed the recurrence rate of thyroid cancer in older patients [16,17] we have not found speci c studies focusing on the consumption of healthcare resources. In an analysis of all thyroid cancers diagnosed in a single center using arti cial intelligence methods, we were able to demonstrate that very old people (≥ 75 years) were not higher consumers of healthcare resources than elderly patients (60-74 years) [34]. We observed that patients ≥ 75 years presented a signi cant increase in the consumption of diagnostic procedures such as and PET scans.…”
Section: Discussionmentioning
confidence: 84%
“…Although several investigators have analyzed the recurrence rate of thyroid cancer in older patients [16,17] we have not found speci c studies focusing on the consumption of healthcare resources. In an analysis of all thyroid cancers diagnosed in a single center using arti cial intelligence methods, we were able to demonstrate that very old people (≥ 75 years) were not higher consumers of healthcare resources than elderly patients (60-74 years) [34]. We observed that patients ≥ 75 years presented a signi cant increase in the consumption of diagnostic procedures such as CT and PET scans.…”
Section: Discussionmentioning
confidence: 84%
“…Once the data were adapted to the respective data model, a baseline processing of Savana's patented clinical NLP pipeline, EHRead ® technology, was executed to detect clinically relevant information in the free text section of the provided EHRs. EHRead ® Technology is a complex cNLP pipeline combining a rich set of NLP techniques in a big data processing pipeline and has been successfully applied in a wide range of real-world evidence studies [14][15][16][17][18]27]. The outcome of the baseline processing is a structured database in which clinically relevant information extracted from the EHRs' free text was added to the information coming from structured data sources.…”
Section: Data Extraction and Clinical Nlp Processingmentioning
confidence: 99%
“…In recent years there has been a growing interest in using artificial intelligence (AI) tools that can extract valuable information from the large amount of data generated in healthcare centers [14][15][16][17][18]. Most of the clinical information in electronic health records (EHRs) is in free text and, due to the large number of data, is poorly accessible by traditional manual review.…”
Section: Introductionmentioning
confidence: 99%