Effect of oral Xiao-xian decoction combined with acupoint application therapy on pediatric adenoid hypertrophy: A randomized trial

Zhao, Xue; Xu, Jie; Wang, Mingyue; Hou, Zi-Wei; Shi, Huishan; Zhang, Xiaoxia

doi:10.1097/md.0000000000032804

Cited by 2 publications

(2 citation statements)

References 23 publications

(36 reference statements)

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“…Similar to Zaho's reports, the case presented by Deng showed the effectiveness of sphenopalatine ganglion electroacupuncture in widening the patency of the nasopharyngeal space in a 9-yearold boy (79,81). While these are interesting reports, they do require further medical analysis.…”

Section: Acupuncturesupporting

confidence: 70%

“…Some Chinese studies have indicated the efficacy of traditional Chinese herbal medicine for AH treatment in children, which showed better outcomes than Western medicine results (77-79). Zhao showed that oral Xiao-xian decoction combined with acupuncture (acupoint application) improved clinical symptoms of adenoid hypertrophy and may be suitable for long-term treatment (79).…”

Section: Anti-leukotriene Therapiesmentioning

confidence: 99%

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150th Anniversary of global adenoid investigations: unanswered questions and unsolved problems

et al. 2023

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Although the problem of adenoid hypertrophy (AH) has been diagnosed and treated by doctors and scientists from around the world for the last 150 years, there is still no consensus regarding appropriate diagnosis, conservative treatment options, and qualification for surgery. This manuscript presents current knowledge on these issues and compares diagnostic methods and the effectiveness of treatment options. Factors that may influence the obtained treatment results are also described, and a questionnaire is proposed to compare the results of treatment. The objective of drawing attention to this problem is to obtain better results from conservative treatment in the future and better-qualified patients for surgical treatment.

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Section: Acupuncturesupporting

confidence: 70%

Section: Anti-leukotriene Therapiesmentioning

confidence: 99%

150th Anniversary of global adenoid investigations: unanswered questions and unsolved problems

et al. 2023

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Predictive Power of XGBoost_BiLSTM Model: A Machine-Learning Approach for Accurate Sleep Apnea Detection Using Electronic Health Data

Javeed,

Berglund,

Dallora

et al. 2023

Int J Comput Intell Syst

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Sleep apnea is a common disorder that can cause pauses in breathing and can last from a few seconds to several minutes, as well as shallow breathing or complete cessation of breathing. Obstructive sleep apnea is strongly associated with the risk of developing several heart diseases, including coronary heart disease, heart attack, heart failure, and stroke. In addition, obstructive sleep apnea increases the risk of developing irregular heartbeats (arrhythmias), which can lead to low blood pressure. To prevent these conditions, this study presents a novel machine-learning (ML) model for predicting sleep apnea based on electronic health data that provides accurate predictions and helps in identifying the risk factors that contribute to the development of sleep apnea. The dataset used in the study includes 75 features and 10,765 samples from the Swedish National Study on Aging and Care (SNAC). The proposed model is based on two modules: the XGBoost module assesses the most important features from feature space, while the Bidirectional Long Short-Term Memory Networks (BiLSTM) module classifies the probability of sleep apnea. Using a cross-validation scheme, the proposed XGBoost_BiLSTM algorithm achieves an accuracy of 97% while using only the six most significant features from the dataset. The model’s performance is also compared with conventional long-short-term memory networks (LSTM) and other state-of-the-art ML models. The results of the study suggest that the proposed model improved the diagnosis and treatment of sleep apnea by identifying the risk factors.

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Effect of oral Xiao-xian decoction combined with acupoint application therapy on pediatric adenoid hypertrophy: A randomized trial

Cited by 2 publications

References 23 publications

150th Anniversary of global adenoid investigations: unanswered questions and unsolved problems

150th Anniversary of global adenoid investigations: unanswered questions and unsolved problems

Predictive Power of XGBoost_BiLSTM Model: A Machine-Learning Approach for Accurate Sleep Apnea Detection Using Electronic Health Data

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