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!
Next Generation Cryptography
20.03.2018 | Fraunhofer-Institut für Sichere Informationstechnologie SIT
TIB’s Visual Analytics Research Group to develop methods for person detection and visualisation
19.03.2018 | Technische Informationsbibliothek (TIB)
Satellites in near-Earth orbit are at risk due to the steady increase in space debris. But their mission in the areas of telecommunications, navigation or weather forecasts is essential for society. Fraunhofer FHR therefore develops radar-based systems which allow the detection, tracking and cataloging of even the smallest particles of debris. Satellite operators who have access to our data are in a better position to plan evasive maneuvers and prevent destructive collisions. From April, 25-29 2018, Fraunhofer FHR and its partners will exhibit the complementary radar systems TIRA and GESTRA as well as the latest radar techniques for space observation across three stands at the ILA Berlin.
The "traffic situation" in space is very tense: the Earth is currently being orbited not only by countless satellites but also by a large volume of space...
An international team of researchers has discovered a new anti-cancer protein. The protein, called LHPP, prevents the uncontrolled proliferation of cancer cells in the liver. The researchers led by Prof. Michael N. Hall from the Biozentrum, University of Basel, report in “Nature” that LHPP can also serve as a biomarker for the diagnosis and prognosis of liver cancer.
The incidence of liver cancer, also known as hepatocellular carcinoma, is steadily increasing. In the last twenty years, the number of cases has almost doubled...
In just a few weeks from now, the Chinese space station Tiangong-1 will re-enter the Earth's atmosphere where it will to a large extent burn up. It is possible that some debris will reach the Earth's surface. Tiangong-1 is orbiting the Earth uncontrolled at a speed of approx. 29,000 km/h.Currently the prognosis relating to the time of impact currently lies within a window of several days. The scientists at Fraunhofer FHR have already been monitoring Tiangong-1 for a number of weeks with their TIRA system, one of the most powerful space observation radars in the world, with a view to supporting the German Space Situational Awareness Center and the ESA with their re-entry forecasts.
Following the loss of radio contact with Tiangong-1 in 2016 and due to the low orbital height, it is now inevitable that the Chinese space station will...
Fraunhofer Institute for Organic Electronics, Electron Beam and Plasma Technology FEP, provider of research and development services for OLED lighting solutions, announces the founding of the “OLED Licht Forum” and presents latest OLED design and lighting solutions during light+building, from March 18th – 23rd, 2018 in Frankfurt a.M./Germany, at booth no. F91 in Hall 4.0.
They are united in their passion for OLED (organic light emitting diodes) lighting with all of its unique facets and application possibilities. Thus experts in...
A new scenario seeking to explain how Mars' putative oceans came and went over the last 4 billion years implies that the oceans formed several hundred million...
23.03.2018 | Event News
19.03.2018 | Event News
16.03.2018 | Event News
23.03.2018 | Materials Sciences
23.03.2018 | Agricultural and Forestry Science
23.03.2018 | Physics and Astronomy