Computer Based Extraction of Phenoptypic Features of Human Congenital Anomalies from the Digital Literature with Natural Language Processing Techniques

被引：9

作者：

Karakulah, Gokhan ^{[1
]}

Dicle, Oguz ^{[1
,2
]}

Kosaner, Ozgun ^{[3
]}

Suner, Asli ^{[4
]}

Birant, Cagdas Can ^{[5
]}

Berber, Tolga ^{[6
]}

Canbek, Sezin ^{[7
]}

机构：

[1] Dokuz Eylul Univ, Hlth Sci Inst, Izmir, Turkey

[2] Dokuz Eylul Univ, Fac Med, Dept Radiol, Izmir, Turkey

[3] Dokuz Dokuz Eylul Univ, Fac Letters, Dept Linguist, Izmir, Turkey

[4] Ege Univ, Fac Med, Dept Biostat & Med Informat, Izmir, Turkey

[5] Dokuz Eylul Univ, Fac Engn, Dept Comp Engn, Izmir, Turkey

[6] Karadeniz Tech Univ, Fac Sci, Dept Stat & Comp Sci, Trabzon, Turkey

[7] Adana Tranining & Res Hosp, Dept Med Genet, Adana, Turkey

来源：

E-HEALTH - FOR CONTINUITY OF CARE | 2014年 / 205卷

关键词：

Human congenital anomalies; information extraction; natural language processing; text processing; clinical decision support; YIELD;

D O I：

10.3233/978-1-61499-432-9-570

中图分类号：

TP39 [计算机的应用];

学科分类号：

080201 [机械制造及其自动化];

摘要：

The lack of laboratory tests for the diagnosis of most of the congenital anomalies renders the physical examination of the case crucial for the diagnosis of the anomaly; and the cases in the diagnostic phase are mostly being evaluated in the light of the literature knowledge. In this respect, for accurate diagnosis, it is of great importance to provide the decision maker with decision support by presenting the literature knowledge about a particular case. Here, we demonstrated a methodology for automated scanning and determining of the phenotypic features from the case reports related to congenital anomalies in the literature with text and natural language processing methods, and we created a framework of an information source for a potential diagnostic decision support system for congenital anomalies.

引用

页码：570 / 574

页数：5

共 10 条

[1]

[Anonymous], MED SUBJ HEAD

[2]

Congenital malformations [J].