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Using cluster analysis to classify audiogram shapes ...
https://www.tandfonline.com/doi/full/10.3109/14992021003796887#:~:text=K-means%20cluster%20analysis%20was%20employed%20to%20categorize%20audiometric,abrupt%20loss%2C%20severe%20sloping%2C%20and%20profound%20abrupt%20loss.
Using cluster analysis to classify audiogram shapes
https://pubmed.ncbi.nlm.nih.gov/20553102/
K-means cluster analysis was employed to categorize audiometric shapes. Eleven audiogram shapes were identified: rising, flat, peaked 8-kHz dip, 4-kHz dip, 8-kHz dip, mild sloping, severe 8-kHz dip, sloping, abrupt loss, severe sloping, and profound abrupt loss. By using the classification system and nomenclature identified for audiogram shapes as outlined in this …
Using cluster analysis to classify audiogram shapes ...
https://www.tandfonline.com/doi/full/10.3109/14992021003796887
K-means cluster analysis was employed to categorize audiometric shapes. Eleven audiogram shapes were identified: rising, flat, peaked 8-kHz dip, 4-kHz dip, 8-kHz dip, mild sloping, …
Using cluster analysis to classify audiogram shapes ...
https://www.researchgate.net/publication/44678032_Using_cluster_analysis_to_classify_audiogram_shapes
A logistic regression model was used for the prognostic analysis. The audiogram shape was classified into four clusters: (1) crossing horizontally pattern of …
Analysis of the audiogram shape in patients with ...
https://pubmed.ncbi.nlm.nih.gov/30036445/
A hierarchical cluster analysis was performed using the hearing threshold for each frequency on audiograms as variables. A logistic regression model was used for the prognostic analysis. The audiogram shape was classified into four clusters: (1) crossing horizontally pattern of all tones; (2) up-sloping pattern of low-tone loss; (3) deaf pattern; and (4) down-sloping pattern of high …
Analysis of the Audiogram Shape in Patients with ...
https://journals.sagepub.com/doi/pdf/10.1177/014556131809700706
nystagmus, and canal paresis. A hierarchical cluster analysis was performed using the hearing threshold for each frequency on audiograms as variables. A logistic regression model was used for the prognostic analysis. The audiogram shape was classified into four clus-ters: (1) crossing horizontally pattern of all tones; (2)
Analysis of the audiogram shape in patients with ...
https://www.thefreelibrary.com/Analysis+of+the+audiogram+shape+in+patients+with+idiopathic+sudden...-a0550612782
We performed a cluster analysis to classify the audiogram shape in patients with idiopathic sudden sensorineural hearing loss (ISSNHL). We also investigated whether the audiogram shape is a prognostic indicator in the management of ISSNHL. A total of 115 inpatients with ISSNHL treated between 2001 and 2010 were analyzed.
Audiometric pattern as a predictor of cardiovascular ...
https://onlinelibrary.wiley.com/doi/10.1002/lary.20130
Tetsuo Watanabe, Masashi Suzuki, Analysis of the Audiogram Shape in Patients with Idiopathic Sudden Sensorineural Hearing Loss Using a Cluster Analysis, Ear, Nose & Throat Journal, 10.1177/014556131809700706, 97, 7, (E36-E40), (2018).
Cluster Analysis: A practical example - Focus-Balkans
https://www.focus-balkans.org/res/files/upload/file/9%20Cluster_Analysis%20Schaer.pdf
cluster analysis. Two phases: 1. Forming of clusters by the chosen data set – resulting in a new variable that identifies cluster members among the cases 2. Description of clusters by re-crossing with the data What cluster analysis does. Cluster Algorithm in agglomerative hierarchical
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