Suchergebnisse - "• Database and Data Mining"

RecMap: Rectangular Map Approximations von Heilmann, R., Keim, D.A., Panse, C., Sips, M.

“… In many application domains, data is collected and referenced by its geospatial location. Nowadays, different kinds of maps are used to emphasize the spatial …”
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How Chaos Theory improves data mining in research by means of ALEV von Toplak, W.

“… In this paper a method for data reduction is introduced. Aspects of Lyapunov, entropy and variance (ALEV) provide an approach for mining large stocks of time …”
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Predicting nationwide obesity from food sales using machine learning von Dunstan, Jocelyn, Aguirre, Marcela, Bastías, Magdalena, Nau, Claudia, Glass, Thomas A, Tobar, Felipe

“… The obesity epidemic progresses everywhere across the globe, and implementing frequent nationwide surveys to measure the percentage of obese population is …”
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A novel technology for harmonizing and analyzing cancer data. Observations from integrating health connect in Newfoundland and Labrador, Canada von Dowden, Jeffrey J, Pretty, Ryan W, Shea, Jennifer M, Dermody, Matthew, Doyle, Gregory, Antle, Scott, Bond, Dan

“… Objective: This article aims to describe the implementation of a new health information technology system called Health Connect that is harmonizing cancer data …”
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Electronic surveillance of patient safety events using natural language processing von Ozonoff, Al, Milliren, Carly E, Fournier, Kerri, Welcher, Jennifer, Landschaft, Assaf, Samnaliev, Mihail, Saluvan, Mehmet, Waltzman, Mark, Kimia, Amir A

“… Objective We describe our approach to surveillance of reportable safety events captured in hospital data including free-text clinical notes. We hypothesize …”
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Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes von Patel, Malhar, Dayan, Ittai, Fishman, Elliot K, Flores, Mona, Gilbert, Fiona J, Guindy, Michal, Koay, Eugene J, Rosenthal, Michael, Roth, Holger R, Linguraru, Marius G

“… Cross-institution collaborations are constrained by data-sharing challenges. These challenges hamper innovation, particularly in artificial intelligence, where …”
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Veracity in big data: How good is good enough von Reimer, Andrew P, Madigan, Elizabeth A

“… Veracity, one of the five V's used to describe big data, has received attention when it comes to using electronic medical record data for research purposes. In …”
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Challenges associated with missing data in electronic health records: A case study of a risk prediction model for diabetes using data from Slovenian primary care von Stiglic, Gregor, Kocbek, Primoz, Fijacko, Nino, Sheikh, Aziz, Pajnkihar, Majda

“… The increasing availability of data stored in electronic health records brings substantial opportunities for advancing patient care and population health. This …”
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Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting von Ehrentraut, Claudia, Ekholm, Markus, Tanushi, Hideyuki, Tiedemann, Jörg, Dalianis, Hercules

“… Hospital-acquired infections pose a significant risk to patient health, while their surveillance is an additional workload for hospital staff. Our overall aim …”
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A comparison of logistic regression models with alternative machine learning methods to predict the risk of in-hospital mortality in emergency medical admissions via external validation von Faisal, Muhammad, Scally, Andy, Howes, Robin, Beatson, Kevin, Richardson, Donald, Mohammed, Mohammed A

“… We compare the performance of logistic regression with several alternative machine learning methods to estimate the risk of death for patients following an …”
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Suicide in services for mental health and substance use: A national hybrid registry surveillance system von Myhre, Martin Ø, Kildahl, Anine T, Astrup, Helene, Bergsager, Dagfinn, Walby, Fredrik A

“… Suicide is strongly associated with mental health and substance use disorders, which makes mental health- and substance misuse services important areas for …”
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Guideline interval: A new time interval in the diagnostic pathway for symptomatic cancer von Price, Sarah, Abel, Gary A., Hamilton, Willie

“… •We describe a new metric to describe the cancer diagnostic pathway: guideline interval.•Guideline interval increases less with multimorbidity compared with …”
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The qualculative dimension of healthcare data interoperability von Pine, Kathleen H

“… Research on interoperability and information exchange between information technology systems touts the use of secondary data for a variety of purposes, …”
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Publications search optimization: Comparison of a homegrown—API approach versus manual publication searches at an NCI designated cancer center von Cernik, Colin, Fife, John, Thompson, Jeffrey, Harlan-Williams, Lisa, Mudaranthakam, Dinesh Pal

“… One measure of research productivity within the University of Kansas Cancer Center (KU Cancer Center) is peer-reviewed publications. Considerable effort goes …”
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Infrastructures for healthcare: From synergy to reverse synergy von Langhoff, Tue Odd, Amstrup, Mikkel Hvid, Mørck, Peter, Bjørn, Pernille

“… The Danish General Practitioners Database has over more than a decade developed into a large-scale successful information infrastructure supporting medical …”
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Using electronic health record systems to optimize admission decisions: the Creatinine case study von Ben-Assuli, Ofir, Shabtai, Itamar, Leshno, Moshe

“… Many medical organizations have implemented electronic health record (EHR) and health information exchange (HIE) networks to improve medical decision-making …”
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Usability evaluation of the digital anger thermometer app von Mattson, Donald C

“… The digital anger thermometer is a prototype for a mobile application (app) for use with adults in anger management treatment. The digital anger thermometer …”
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Improving National Trauma Data Bank® coding data reliability for traumatic injury using a prospective systems approach von Ewing, Michael, Funk, Geoffrey A, Warren, Ann Marie, Rapier, Nakia, Reynolds, Megan, Bennett, Monica, Mastropieri, Cyndi, Foreman, Michael L

“… Trauma centers manage an active Trauma Registry from which research, quality improvement, and epidemiologic information are extracted to ensure optimal care of …”
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University of California, Irvine-Pathology Extraction Pipeline: the pathology extraction pipeline for information extraction from pathology reports von Ashish, Naveen, Dahm, Lisa, Boicey, Charles

“… We describe Pathology Extraction Pipeline (PEP)--a new Open Health Natural Language Processing pipeline that we have developed for information extraction from …”
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Is routine hospital episode data sufficient for identifying individuals with chronic kidney disease? A comparison study with laboratory data von Robertson, Lynn M, Denadai, Lucas, Black, Corri, Fluck, Nicholas, Prescott, Gordon, Simpson, William, Wilde, Katie, Marks, Angharad

“… Internationally, investment in the availability of routine health care data for improving health, health surveillance and health care is increasing. We …”
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