Publications by authors named "Zhanhang Zheng"

Background: In the field of audiology, numerous studies have sought to understand and improve hearing rehabilitation programs for older adults afflicted with presbycusis. Despite this, the field lacks uniform standards pertaining to the intervention methods, frequency, and duration of such programs. These discrepancies have led to varying test results and inconsistent findings across multiple studies.

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Depressive symptoms are prevalent and detrimental in elderly patients with obstructive sleep apnea (OSA). Understanding the factors influencing these symptoms is crucial. This study aims to use machine learning algorithms to identify the contributing factors in this population.

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Objectives: One of the most common sensory impairments in the elderly is age-related hearing loss, and individuals with this condition have a higher risk of mild cognitive impairment than the overall aged population. The purpose of this study was to conduct a systematic review of the literature in order to evaluate the evidence supporting the hypothesis that mild cognitive impairment may be developed in patients with age-related hearing loss.

Methods: The PRISMA principles were followed when searching the databases of the China Knowledge Network, Wanfang, China Biomedical Literature Database, Pub Med, Cochrane Library, Embase, and Web of Science.

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Article Synopsis
  • The study aimed to develop a machine learning model to predict facial nerve impairment in patients with parotid tumors after surgery, using data from 403 patients collected over ten years.
  • Five machine learning techniques were tested, with the Artificial Neural Network (ANN) and Logistic Regression (Logit) achieving the highest predictive accuracy, compared to other methods like Random Forest (RF) and Support Vector Machine (SVM).
  • The model identified 8 critical factors influencing nerve damage, ultimately helping doctors better assess surgical risks and improve patient outcomes and quality of life.
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