title: Porting a cancer treatment prediction to a mobile device.
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.
authors: Computer Science Department, Winona State University, Winona, MN 55987, USA. tgeggharrison@winora.edu
authors: Tim
authors: T
authors: Gegg-Harrison
authors: Mingrui
authors: M
authors: Zhang
authors: Nan
authors: N
authors: Meng
authors: Zhifii
authors: Z
authors: Sun
authors: Ping
authors: P
authors: Yang
mesh_terms: D040421:Cell Phone; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D009369:Neoplasms / Q000175:diagnosis* / Q000401:mortality / Q000628:therapy*; D017063:Outcome Assessment, Health Care / Q000379:methods*; D011379:Prognosis; D016019:Survival Analysis; D015996:Survival Rate; D017216:Telemedicine / Q000379:methods*; D014481:United States / Q000453:epidemiology