Title :
Porting a cancer treatment prediction to a mobile device
Author :
Gegg-Harrison, Tim ; Zhang, Mingrui ; Meng, Nan ; Sun, Zhifu ; Yang, Ping
Author_Institution :
Comput. Sci. Dept., Winona State Univ., Winona, MN, USA
Abstract :
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.
Keywords :
biomedical communication; cancer; lung; mobile handsets; patient treatment; LCSPT; cancer treatment prediction; iPhone; lung cancer survivability prediction tool; mobile device; web-based system; Cellular Phone; Decision Support Systems, Clinical; Diagnosis, Computer-Assisted; Humans; Neoplasms; Outcome Assessment (Health Care); Prognosis; Survival Analysis; Survival Rate; Telemedicine; United States;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5334551