A smartphone app framework for segmented cancer care coordination - 2016 PROJECT TITLE : A smartphone app framework for segmented cancer care coordination - 2016 ABSTRACT: Advanced cancer care needs careful coordination, however resource limitations lead to lack of effective coordinated follow-up services. Recent advances in smartphones offer great opportunities for better segmentation of patient populations for cost-effective, targeted care coordination and monitoring or surveillance of cancer patients. This paper presents a framework of a smartphone app that provides such risk assessment and follow-up care monitoring services. This mHealth app framework includes three purposeful modules: a natural language processing module based on Bayesian model to extract relevant information from free text or medical reports; a cancer risk calculator that uses support vector machine classification to assess the medical risks of cancer patients based on the information extracted; and a health care monitor that has timely care coordination to high risk cancer patients. The experimental results validate mHealth as a reliable medical risk assessment for post-surgical cancer patients and an efficient health care monitoring service for cancer care coordination. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Bayes Methods Image Segmentation Health Care Patient Care Image Classification Support Vector Machines Cancer Smart Phones Medical Diagnostic Computing Patient Monitoring Risk Management A local structure and direction-aware optimization approach for three-dimensional tree modeling - 2016 Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer - 2016