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基因演算法
使用基因演算法來預測中度至重度睡眠障礙
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註冊時間: 2005-08-04
文章: 555
來自: 台北

發表 發表於: 星期二 七月 13, 2010 1:59 pm
發表 文章主題: 使用基因演算法來預測中度至重度睡眠障礙
引言回覆

A prediction model based on an artificial intelligence system for moderate to severe obstructive sleep apnea

期刊 Sleep and Breathing
出版社 Springer Berlin / Heidelberg
文章類目 Original Article
DOI 10.1007/s11325-010-0384-x
Subject Collection 醫學
SpringerLink Date 2010 年7月4日

Lei Ming Sun, Hung-Wen Chiu, Chih Yuan Chuang and Li Liu
(1) Graduate Institute of Medical Informatics, Taipei Medical University, 252, Wu-Hsin Street, Taipei, 110, Taiwan
(2) Sleep Center of Far Eastern Medical Hospital, Taipei, Taiwan

Abstract
Study objectives
Obstructive sleep apnea (OSA) is a major concern in modern medicine; however, it is difficult to diagnose. Screening questionnaires such as the Berlin questionnaire, Rome questionnaire, and BASH'IM score are used to identify patients with OSA. However, the sensitivity and specificity of these tools are not satisfactory. We aim to introduce an artificial intelligence method to screen moderate to severe OSA patients (apnea–hypopnea index ≧15).

Patients and methods
One hundred twenty patients were asked to complete a newly developed questionnaire before undergoing an overnight polysomnography (PSG) study. One hundred ten validated questionnaires were enrolled in this study. Genetic algorithm (GA) was used to build the five best models based on these questionnaires. The same data were analyzed with logistic regression (LR) for comparison.

Results
The sensitivity of the GA models varied from 81.8% to 88.0%, with a specificity of 95% to 97%. On the other hand, the sensitivity and specificity of the LR model were 55.6% and 57.9%, respectively.

Conclusions
GA provides a good solution to build models for screening moderate to severe OSA patients, who require PSG evaluation and medical intervention. The questionnaire did not require any special biochemistry data and was easily self-administered. The sensitivity and specificity of the GA models are satisfactory and may improve when more patients are recruited.

Keywords Obstructive sleep apnea - Genetic algorithm - Polysomnography

這篇我寫了很久才寫好,實在是有點慚愧。借由這個研究讓大家了解基因演算法不只能用在排班,還能運用於臨床醫學中。

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With malice toward none, with charity for all

各位!電腦不要看太久,起來運動一下吧

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