2020
DOI: 10.1159/000512674
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An Association Rule Analysis of Combined Acupoints for the Treatment of Patients with Dry Eye Disease

Abstract: <b><i>Background:</i></b> Dry eye disease (DED) has a higher incidence in old age and is seen predominantly in females worldwide. Neurosensory abnormalities, ocular surface inflammation and damage, film instability, and hyperosmolarity are major and proven pathologies responsible for a poor quality of life. Tear breakup time and Schirmer’s I test are predominantly used for the evaluation of primary outcomes in patients undergoing conventional treatment. A previous meta-analysis of some … Show more

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Cited by 17 publications
(26 citation statements)
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“…Further study is required to identify and describe the symptoms of Dry Eye Disease flares, as well as to help doctors diagnose the condition early and treat patients who are experiencing flares in a timely, effective, and controlled manner. [21] Most topical medications try to replace the deficient growth factor or reduce inflammation on the surface of the eye. Most new devices and procedures are aimed at treating meibomian gland dysfunction, and one new device uses the nasolacrimal duct reflex pathway to stimulate tear production.…”
Section: Discussionmentioning
confidence: 99%
“…Further study is required to identify and describe the symptoms of Dry Eye Disease flares, as well as to help doctors diagnose the condition early and treat patients who are experiencing flares in a timely, effective, and controlled manner. [21] Most topical medications try to replace the deficient growth factor or reduce inflammation on the surface of the eye. Most new devices and procedures are aimed at treating meibomian gland dysfunction, and one new device uses the nasolacrimal duct reflex pathway to stimulate tear production.…”
Section: Discussionmentioning
confidence: 99%
“…Mining of frequent hub itemsets and association rules was performed according to the Apriori algorithm method for discovering meaningful relationships between variables in a large database ( Agrawal et al, 1993 ). Through this, it is possible to identify the elements composing the data and the relationship between the elements, and it is being used in various types of medical research aimed at predicting the characteristics of interventions ( Leem et al, 2018 ; Hsieh et al, 2020 ; Lin et al, 2021 ).…”
Section: Methodsmentioning
confidence: 99%
“…Mining of frequent hub item sets and association rules will be performed according to the Apriori algorithm method for discovering meaningful relationships between variables in a large database [26] . Through this, it is possible to identify the elements composing the data and the relationship between the elements, and it is being used in various types of medical research aimed at predicting the characteristics of interventions [27–29] …”
Section: Methodsmentioning
confidence: 99%
“…[26] Through this, it is possible to identify the elements composing the data and the relationship between the elements, and it is being used in various types of medical research aimed at predicting the characteristics of interventions. [27][28][29] In the Apriori algorithm, support, confidence, and lift are the main metrics for measuring association. A rule is defined as an expression X⇒Y where X, Y ⊆ I and X∩Y = ∅.…”
Section: Recordsmentioning
confidence: 99%