Identifying cancer patients who received palliative care using the SPICT-LIS in medical records: a rule-based algorithm and text-mining technique

Background Due to limited numbers of palliative care specialists and/or resources, accessing palliative care remains limited in many low and middle-income countries. Data science methods, such as rule-based algorithms and text mining, have potential to improve palliative care by facilitating analysi...

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Bibliographic Details
Published in:	BMC palliative care Vol. 23; no. 1; pp. 83 - 10
Main Authors:	Limsomwong, Pawita, Ingviya, Thammasin, Fumaneeshoat, Orapan
Format:	Journal Article
Language:	English
Published:	London BioMed Central 01.04.2024 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Algorithms Analysis Cancer cancer patients Care and treatment Data dictionaries Data Mining Developing countries Digital health and new technologies in palliative care Electronic Health Records Evaluation Family physicians Hospitals Humans LDCs Medical personnel Medical records Medicine Medicine & Public Health Neoplasms - therapy Pain Medicine Palliative Care Palliative Medicine Palliative treatment Patient outcomes Patients Quality of Life Research Reproducibility of Results Rule-based algorithm Sentiment analysis SPICT-LIS criteria Text-mining techniques Thailand Palliative care Rule-based algorithm SPICT-LIS criteria Text-mining techniques cancer patients
ISSN:	1472-684X, 1472-684X
Online Access:	Get full text
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