项目作者: ymnliu

项目描述 :
Temporal information extraction from clinical texts
高级语言: Java
项目地址: git://github.com/ymnliu/MedTimer.git
创建时间: 2017-11-07T22:54:28Z
项目社区:https://github.com/ymnliu/MedTimer

开源协议:

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Introduction

MedTime is an Apache UIMA based temporal information extraction system developed by the Mayo Clinic NLP program. It extracts and normalizes TIMEX3-based temporal expressions
from clinical text. MedTime has been adapted from the
open-source temporal tagger, HeidelTime (https://github.com/HeidelTime/heideltime)
but re-engineered toward the clinical domain.

What’s new

Updated temporal expression extraction module for general purpose clinical texts,
which does not require section times or specific text metadata.

Installation

Java requirement: Java 1.7.

If you are using UNIX, simply:

  1. ./runCPE.sh

In the menu of the CPE window, go to "File" -> "Open CPE Descriptor" and select ./desc/medtimedesc/collection_process_engine/MedTaggerTimerCPE.xml.
You may change the "Input Directory" and "Output Dir" as needed. We suggest to use the default FileCollectionReader and MedTaggerTimerWriter.

Implementation details can be found in project wiki.

Versions

MedTime 1.0: http://ohnlp.org/index.php/MedTime_Project_Page

Citation

If you use MedTime, please kindly consider citing the following papers:

MedTimer 2.0

MedTime 1.0

Other resources

A review paper of clinical information extraction in NLP: