将癌症治疗预测应用移植到移动设备上。
Porting a cancer treatment prediction to a mobile device.
作者信息
Gegg-Harrison Tim, Zhang Mingrui, Meng Nan, Sun Zhifii, Yang Ping
机构信息
Computer Science Department, Winona State University, Winona, MN 55987, USA.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6218-21. doi: 10.1109/IEMBS.2009.5334551.
The Lung Cancer Survivability Prediction Tool (LCSPT) is a web-based system that predicts the survival possibility of a lung cancer patient based on the status of the patient and the treatments provided. In order to make the LCSPT more accessible and convenient to doctors working in a clinical setting, we have developed a new interface for mobile devices. The display size along with wireless data transfer speeds pose the most significant challenges to porting a software application to a mobile device. We have addressed these issues by redefining the interface and limiting the amount of data that is required. The resultant tool provides doctors with the flexibility of mobility while maintaining the effectiveness of the desktop version of the LCSPT.
肺癌生存预测工具（LCSPT）是一个基于网络的系统，它根据患者的状况和所接受的治疗来预测肺癌患者的生存可能性。为了使LCSPT对临床环境中的医生来说更易于使用和方便，我们为移动设备开发了一个新界面。显示屏尺寸以及无线数据传输速度对将软件应用移植到移动设备构成了最重大的挑战。我们通过重新定义界面和限制所需数据量来解决这些问题。最终的工具在保持LCSPT桌面版本有效性的同时，为医生提供了移动灵活性。
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