Discovery of Temporal Patterns in Sparse Course-of-Disease Data
نویسندگان
چکیده
Jorge C. G. Ramirez, Lynn L. Peterson, Diane J. Cook, Dolores M. Peterson Department of Computer Science & Engineering University of Texas at Arlington PO Box 19015, Arlington, TX 76019-0015 Tel: 817-272-3620; Fax: 817-272-3784 [email protected] HIV Clinical Research Group Division of General Internal Medicine University of Texas Southwestern Medical Center 5323 Harry Hines Blvd, Dallas, TX 75235-9103 Tel: 214-648-3246; Fax: 214-648-5415
منابع مشابه
Traffic Scene Analysis using Hierarchical Sparse Topical Coding
Analyzing motion patterns in traffic videos can be exploited directly to generate high-level descriptions of the video contents. Such descriptions may further be employed in different traffic applications such as traffic phase detection and abnormal event detection. One of the most recent and successful unsupervised methods for complex traffic scene analysis is based on topic models. In this pa...
متن کاملPrediction and Diagnosis of Diabetes Mellitus using a Water Wave Optimization Algorithm
Data mining is an appropriate way to discover information and hidden patterns in large amounts of data, where the hidden patterns cannot be easily discovered in normal ways. One of the most interesting applications of data mining is the discovery of diseases and disease patterns through investigating patients' records. Early diagnosis of diabetes can reduce the effects of this devastating disea...
متن کاملSurvey on Perception of People Regarding Utilization of Computer Science & Information Technology in Manipulation of Big Data, Disease Detection & Drug Discovery
this research explores the manipulation of biomedical big data and diseases detection using automated computing mechanisms. As efficient and cost effective way to discover disease and drug is important for a society so computer aided automated system is a must. This paper aims to understand the importance of computer aided automated system among the people. The analysis result from collected da...
متن کاملTemporal pattern discovery in course-of-disease data.
The goal of the research being reported is the discovery of useful concepts in temporal medical databases. Building on previous experiments, we introduce TEMPADIS, the Temporal Pattern Discovery System, which uses our Event Set Sequence approach to discover patterns in this type of data. Results are presented for a database of Human Immunodeficiency Virus (HIV) patients. We discuss the overall ...
متن کاملUnderstanding Temporal Human Mobility Patterns in a City by Mobile Cellular Data Mining, Case Study: Tehran City
Recent studies have shown that urban complex behaviors like human mobility should be examined by newer and smarter methods. The ubiquitous use of mobile phones and other smart communication devices helps us use a bigger amount of data that can be browsed by the hours of the day, the days of the week, geographic area, meteorological conditions, and so on. In this article, mobile cellular data mi...
متن کامل