Clinical text provides essential information to estimate the acuity of a patient during hospital stays in addition to structured clinical data. In this study, we explore how …
Tissue-based cancer studies can generate large amounts of histology data in the form of glass slides. These slides contain important diagnostic, prognostic, and biological …
The predictive modeling process is time consuming and requires clinical researchers to handle complex electronic health record (EHR) data in restricted computational environments. …
Clinical predictive modeling involves two challenging tasks, model development and model deployment. In this paper we demonstrate a software architecture for developing and …
Disease prediction has become important in a variety of applications such as health insurance, tailored health communication and public health. Disease prediction is usually …