A Decision Tree-Based Approach for Cervical Smear

勤益科大機構典藏 > 管理學院 > 工業工程與管理系(所) > 【工業工程與管理系所】期刊論文 > Item 987654321/7220

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題名:	A Decision Tree-Based Approach for Cervical Smear
作者:	楊旭豪
貢獻者:	工業工程與(工程)管理系
日期:	2012-05
上傳時間:	2018-05-23 09:05:28 (UTC+8)
摘要:	Cervical smears are used to detect cervical intraepithelial neoplasia (CIN) and remain a popular method for the early detection of precancer and cervical cancer. One of the classification systems for CIN, the Bethesda system, classifies atypical cells into ASC-US (atypical squamous cells of undetermined significance) and ASC-H (atypical squamous cells: cannot exclude a high-grade squamous intra-epithelial lesion). This paper proposes a methodology involving a decision tree (DT) to identify cases of ASC-US by constructing a classification decision tree (CDT) based on samples from a Taiwanese teaching hospital. The main difference between our methodology and those of other studies is the use of a DT to identify ASC-US cases. We calculated the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) to evaluate the performance of our methodology and found a sensitivity of 86.36%, a specificity of 78.94%, a PPV of 90-47% and an NPV of 71.42%. The results indicate that our CDT is capable of detecting cases that are abnormal and positive; in contrast, detecting cases that are benign and negative remains a challenge. Moreover, our CDT performs well when predicting the cases that are abnormal and positive but performs poorly when predicting benign and negative cases. Considering both the sensitivity and PPV, we demonstrate that our CDT can help decrease the number of ASC-US cases. ©2012 ICIC International. (20 refs)
關聯:	International Journal of Innovative Computing Information and Control
顯示於類別:	[工業工程與管理系(所)] 【工業工程與管理系所】期刊論文

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