Location
Biological Sciences : 120
Date & Time
April 30, 2014, 11:00 am – 12:00 pm
Description
First Speaker | Iris Gauran |
Second Speaker | |
Session Chair | Nilabja Guha |
Discussant | Dr. Malinovsky |
Place | BS 120 |
- Title
- Classification of Congenital Hypothyroidism in Newborn Screening using Self-Organizing Maps
- Abstract
- Detecting the Congenital Hypothyroidism among neonates is a major concern of medical practitioners because it provides richer information than the healthy cases. However, because of the rarity of this metabolic condition, existing classification algorithms oftentimes misclassify a neonate as “normal.” This paper aims to investigate the efficiency of Self-Organizing Kohonen Maps (SOM)—a type of artificial neural network—as a tool for classification, particularly in detecting outliers. The proposed methodology was able to address the problem of finding a statistical threshold for TSH1 as a reasonable and sound cut-off value. The bootstrap estimate of the standard errors is roughly 5%.
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