Power Scavenging in a Cold, Dark Storage Environment.

The aim of this project is to develop a framework to mine the MHS datarepositories to extract and communicate medical knowledge that wouldultimately enhance the delivery of DoD medical services. We proposeto design, develop, and deploy a Medical Health Data Mining Library(M-HDML) tool-kit that leverages the power of intelligent knowledgediscovery approaches. The principal innovations in this project wouldbe (i) a validated universal representation scheme for the diversetypes of clinical data, (ii) a sophisticated framework for rapidly buildingknowledge discovery applications that could be used to analyze medicaldata, (iii) a library of customized health data mining algorithms, and aset of reusable knowledge analysis templates that are geared towards discoveringspecific types of knowledge from clinical data, and (iv) automation mechanismsthat would lead to significant reductions in time and effort needed to convertmedical data into taxonomical knowledge types. The primary anticipated benefits in this project would be a validated universal representation scheme for the diverse types of clinical data, and a sophisticated framework for rapidly building knowledgediscovery applications that could be used to analyze medical data.