DocumentCode
2412016
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
fYear
2009
fDate
3-6 Sept. 2009
Firstpage
6218
Lastpage
6221
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location
Minneapolis, MN
ISSN
1557-170X
Print_ISBN
978-1-4244-3296-7
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2009.5334551
Filename
5334551
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