The Evaluation of Prognostic Value and Immune Characteristics of Ferroptosis-Related Genes in Lung Squamous Cell Carcinoma.

 The purpose of our study was to construct a prognostic model based on ferroptosis-related gene signature to improve the prognosis prediction of lung squamous carcinoma (LUSC).  The mRNA expression profiles and clinical data of LUSC patients were downloaded. LUSC-related essential differentially expressed genes were integrated for further analysis.

Graph neural network and multi-data heterogeneous networks for microbe-disease prediction.

The research on microbe association networks is greatly significant for understanding the pathogenic mechanism of microbes and promoting the application of microbes in precision medicine. In this paper, we studied the prediction of microbe-disease associations based on multi-data biological network and graph neural network algorithm. The HMDAD database provided a dataset that included 39 diseases, 292 microbes, and 450 known microbe-disease associations.

Optimizing bowel preparation for colonoscopy: A cross-sectional study of the Chinese population.

Background: The quality of bowel preparation is an important factor in the success of colonoscopy. However, the quality of bowel preparation is often affected by multiple factors. The main objective of this study was to explore the specific factors that affect the quality of bowel preparation.

An Explainable AI Approach for the Rapid Diagnosis of COVID-19 Using Ensemble Learning Algorithms.

Background: Artificial intelligence-based disease prediction models have a greater potential to screen COVID-19 patients than conventional methods. However, their application has been restricted because of their underlying black-box nature.

Objective: To addressed this issue, an explainable artificial intelligence (XAI) approach was developed to screen patients for COVID-19.

[Analysis on acupoint selection rules for impotence treated with acupuncture and moxibustion in ancient based on data mining technology].

Based on the data mining technology, the rules of acupoint selection and prescription were analyzed for impotence treated with acupuncture and moxibustion in ancient recorded in . By taking "" and "" as the searching terms, the database of (the 5th edition) were retrieved and the relevant information of impotence, such as prescription provision, acupoints and use frequency were extracted. Using the software, e.

[Acupoint selection pattern of chronic atrophic gastritis based on data mining methods of latent structure model and frequency item set].

Objective: To explore the acupoint selection pattern of chronic atrophic gastritis and provide reference for clinical treatment of chronic atrophic gastritis.

Methods: The literature regarding acupuncture for chronic atrophic gastritis published before September 5th of 2016 was searched in the databases of CNKI, CBM, PubMed, etc. The information of symptoms and acupoint selection was extracted to establish medical database of chronic atrophic gastritis.

[Maximal Frequent Association Patterns between Symptoms of Coronary Heart Disease Patients with Blood Stasis Syndrome and Medication Constitutions].

A total of 121 medical cases concerning treating coronary heart disease (CHD) pa- tients with blood stasis syndrome (BSS) by Chinese Medicine were collected to establish a database for CHD patients with BSS. By using data mining authors tried to explore inherent laws of its symptoms and medication of Chinese Medicine, and to probe maximal frequent association patterns between its symp- toms and medication constitutions. Of the 121 medical cases, chest pain, chest stiffness, and headache were their common symptoms.

[Acupoints selection rules analysis of ancient acupuncture for urinary incontinence based on data mining technology].

Based on ancient literature of acupuncture in Canon of Chinese Medicine (4th edition), the articles regarding acupuncture for urinary incontinence were retrieved and collected to establish a database. By Weka data mining software, the multi-level association rules analysis method was applied to analyze the acupoints selection characteristics and rules of ancient acupuncture for treatment of urinary incontinence. Totally 356 articles of acupuncture for urinary incontinence were collected, involving 41 acupoints with a total frequency of 364.

Correlations between Phlegm Syndrome of Chinese Medicine and Coronary Angiography: A Systematic Review and Meta-Analysis.

Phlegm is one of the most common patterns of coronary artery disease (CAD) in Chinese medicine. Our research was aimed at investigating the association between phlegm syndrome of CAD and coronary angiography (CAG) by meta-analysis. According to inclusion criteria, a total of 30 studies involving 5,055 CAD patients were included.