The article spotlights a new and promising way of using a combination of commonly used existing algorithms to root out more information about adverse drug reactions within electronic health records available to the researchers.
The new pattern, which when compared against the most commonly used existing sole algorithm, showed an almost 25 percent improvement in outcome. Although the idea could theoretically be applied beyond electronic health records, this paper focuses only on using them to find adverse medical reactions to a drug therapy.
"Large collections of electronic patient records have long provided abundant, but under-explored information on the real-world use of medicines. But when used properly these records can provide longitudinal observational data which is perfect for data mining," Duan said. "Although such records are maintained for patient administration, they could provide a broad range of clinical information for data analysis. A growing interest has been drug safety."
In this paper, the researchers proposed two novel algorithms—a likelihood ratio model and a Bayesian network model—for adverse drug effect discovery. Although the performance of these two algorithms is comparable to the state-of-the-art algorithm, Bayesian confidence propagation neural network, by combining three works, the researchers say one can get better, more diverse results.
Since the actual adverse drug effects on a given dataset cannot be absolutely determined, the researchers made use of a simulated observational medical outcomes partnership dataset. They constructed this "dataset" with the predefined adverse drug effects to evaluate their methods.
Experimental results show the usefulness of the proposed pattern discovery method on the simulated dataset by improving the standard baseline algorithm—chi-square—by 23.83 percent.
Duan, whose innovative research on large-scale data mining has applications in the business world as well as many industries, including marketing, social networking and bioinformatics. Whereas most data mining experts search for correlation pairs, he focuses on correlated sets of arbitrary size. His research focuses on correlation search, community detection, and density-based clustering and outlier detection.
Duan holds two doctorates-- one in computer science from the Chinese Academy of Sciences, China, and the other in information systems with an emphasis on data mining from the University of Iowa.
NJIT has a history in the evolution of assisting New Jersey physicians effectively select, adopt, implement, and meaningfully use electronic health information technology. In 2010, NJIT was awarded $23 million from the federal government to facilitate the use of certified Electronic Health Record (EHR) systems in New Jersey by early 2014. Under the direction of NJIT Senior Vice President of Research and Development Donald H. Sebastian and Executive Director, Bill O'Byrne, the NJ Health Information Technology Extension Center (NJ-HITEC) was established and currently supports over 7,000 members. Today, NJ-HITEC is a national leader as one of 62 federally designated regional extension centers nationwide established to improve American healthcare delivery and patient care through the investment in health information technology. Moreover, NJ-HITEC continues to innovate and develop services to support physicians obtain the maximum in federal incentives. To date, New Jersey physicians, with the support of NJ-HITEC, have received over $65 million in federal dollars.
NJIT, New Jersey's science and technology university, enrolls more than 9,943 students pursuing bachelor's, master's and doctoral degrees in 120 programs. The university consists of six colleges: Newark College of Engineering, College of Architecture and Design, College of Science and Liberal Arts, School of Management, College of Computing Sciences and Albert Dorman Honors College. U.S. News & World Report's 2012 Annual Guide to America's Best Colleges ranked NJIT in the top tier of national research universities. NJIT is internationally recognized for being at the edge in knowledge in architecture, applied mathematics, wireless communications and networking, solar physics, advanced engineered particulate materials, nanotechnology, neural engineering and e-learning. Many courses and certificate programs, as well as graduate degrees, are available online through the Division of Continuing Professional Education.
Sheryl Weinstein | EurekAlert!
Equipping form with function
23.06.2017 | Institute of Science and Technology Austria
Can we see monkeys from space? Emerging technologies to map biodiversity
23.06.2017 | Forschungsverbund Berlin e.V.
An international team of scientists has proposed a new multi-disciplinary approach in which an array of new technologies will allow us to map biodiversity and the risks that wildlife is facing at the scale of whole landscapes. The findings are published in Nature Ecology and Evolution. This international research is led by the Kunming Institute of Zoology from China, University of East Anglia, University of Leicester and the Leibniz Institute for Zoo and Wildlife Research.
Using a combination of satellite and ground data, the team proposes that it is now possible to map biodiversity with an accuracy that has not been previously...
Heatwaves in the Arctic, longer periods of vegetation in Europe, severe floods in West Africa – starting in 2021, scientists want to explore the emissions of the greenhouse gas methane with the German-French satellite MERLIN. This is made possible by a new robust laser system of the Fraunhofer Institute for Laser Technology ILT in Aachen, which achieves unprecedented measurement accuracy.
Methane is primarily the result of the decomposition of organic matter. The gas has a 25 times greater warming potential than carbon dioxide, but is not as...
Hydrogen is regarded as the energy source of the future: It is produced with solar power and can be used to generate heat and electricity in fuel cells. Empa researchers have now succeeded in decoding the movement of hydrogen ions in crystals – a key step towards more efficient energy conversion in the hydrogen industry of tomorrow.
As charge carriers, electrons and ions play the leading role in electrochemical energy storage devices and converters such as batteries and fuel cells. Proton...
Scientists from the Excellence Cluster Universe at the Ludwig-Maximilians-Universität Munich have establised "Cosmowebportal", a unique data centre for cosmological simulations located at the Leibniz Supercomputing Centre (LRZ) of the Bavarian Academy of Sciences. The complete results of a series of large hydrodynamical cosmological simulations are available, with data volumes typically exceeding several hundred terabytes. Scientists worldwide can interactively explore these complex simulations via a web interface and directly access the results.
With current telescopes, scientists can observe our Universe’s galaxies and galaxy clusters and their distribution along an invisible cosmic web. From the...
Temperature measurements possible even on the smallest scale / Molecular ruby for use in material sciences, biology, and medicine
Chemists at Johannes Gutenberg University Mainz (JGU) in cooperation with researchers of the German Federal Institute for Materials Research and Testing (BAM)...
19.06.2017 | Event News
13.06.2017 | Event News
13.06.2017 | Event News
23.06.2017 | Physics and Astronomy
23.06.2017 | Physics and Astronomy
23.06.2017 | Information Technology