Medicine and Health Sciences Commons^™

Data Mining Of Pancreatic Cancer Protein Databases, Peter Revesz, Christopher Assi

CSE Conference and Workshop Papers

Data mining of protein databases poses special challenges because many protein databases are non- relational whereas most data mining and machine learning algorithms assume the input data to be a type of rela- tional database that is also representable as an ARFF file. We developed a method to restructure protein databases so that they become amenable for various data mining and machine learning tools. Our restructuring method en- abled us to apply both decision tree and support vector machine classifiers to a pancreatic protein database. The SVM classifier that used both GO term and PFAM families to characterize proteins gave …

Ehrs Connect Research And Practice: Where Predictive Modeling, Artificial Intelligence, And Clinical Decision Support Intersect, Casey C. Bennett, Thomas W. Doub, Rebecca Selove

Center for Prevention Research Publications

Objectives

Electronic health records (EHRs) are only a first step in capturing and utilizing health-related data—the challenge is turning that data into useful information. Furthermore, EHRs are increasingly likely to include data relating to patient outcomes, functionality such as clinical decision support, and genetic information as well, and, as such, can be seen as repositories of increasingly valuable information about patients’ health conditions and responses to treatment over time.

Methods

We describe a case study of 423 patients treated by Centerstone within Tennessee and Indiana in which we utilized electronic health record data to generate predictive algorithms of individual patient …