Dusan Ramljak

Learn More
Early classification of time series has been receiving a lot of attention as of late, particularly in the context of gene expression. In the biomedical realm, early classification can be of tremendous help, by identifying the onset of a disease before it has time to fully take hold, or determining that a treatment has done its job and can be discontinued.(More)
When faced with the task of forming predictions for nodes in a social network, it can be quite difficult to decide which of the available connections among nodes should be used for the best results. This problem is further exacerbated when temporal information is available, prompting the question of whether this information should be aggregated or not, and(More)
The American health care system is rife with perverse incentives. Providers are reimbursed for providing more care rather than preventive or higher quality care. Starting in 2012, the Affordable Care Act (ACA) sets Medicare reimbursement rates based on hospital performance for 30day preventable readmissions relative to expectations using 3 specific target(More)
As social networks continue growing in size and popularity, so does the amount of data that is publically available pertaining to the members of these networks, which results in a rapid growth of the types of connections that can potentially be established between members of the network. With this increasing amount of available information, the task of(More)
Early classification of time series has been receiving a lot of attention recently. In this paper we present a model, which we call the Early Classification Model (ECM), that allows for early, accurate and patient-specific classification of multivariate observations. ECM is comprised of an integration of the widely used Hidden Markov Model (HMM) and Support(More)
Motivation: The current data growth and consequent increase in complexity of its usage patterns indicate that intelligent management of data storage is becoming ever more crucial [7, 20, 23]. We rely on the claim that efficient pattern discovery and description, coupled with the observed predictability of complex patterns within many high-performance(More)
BACKGROUND The Hospital Readmissions Reduction Program (HRRP) introduced in October 2012 as part of the Affordable Care Act (ACA), ties hospital reimbursement rates to adjusted 30-day readmissions and mortality performance for a small set of target diagnoses. There is growing concern and emerging evidence that use of a small set of target diagnoses to(More)
  • 1