532 research outputs found

    Scraping airlines bots: insights obtained studying honeypot data

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    Airline websites are the victims of unauthorised online travel agencies and aggregators that use armies of bots to scrape prices and flight information. These so-called Advanced Persistent Bots (APBs) are highly sophisticated. On top of the valuable information taken away, these huge quantities of requests consume a very substantial amount of resources on the airlines' websites. In this work, we propose a deceptive approach to counter scraping bots. We present a platform capable of mimicking airlines' sites changing prices at will. We provide results on the case studies we performed with it. We have lured bots for almost 2 months, fed them with indistinguishable inaccurate information. Studying the collected requests, we have found behavioural patterns that could be used as complementary bot detection. Moreover, based on the gathered empirical pieces of evidence, we propose a method to investigate the claim commonly made that proxy services used by web scraping bots have millions of residential IPs at their disposal. Our mathematical models indicate that the amount of IPs is likely 2 to 3 orders of magnitude smaller than the one claimed. This finding suggests that an IP reputation-based blocking strategy could be effective, contrary to what operators of these websites think today

    Examining the health care resource utilization and economic burden among rheumatoid arthritis patients with different routine assessment of patient index data 3 scores: a probabilistic matching study

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    Onur Başer (MEF Author)Objectives: To examine the health care resource utilization and economic burden of rheumatoid arthritis (RA) using the Routine Assessment of Patient Index Data 3 (RAPID3).

    PSY14 - evaluating trends in chronic pain prevalence in the united states veterans health administration population

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    Onur Başer (MEF Author)##nofulltext##OBJECTIVES: The current study examined chronic pain prevalence in the U.S. Veterans Health Administration (VHA) population. METHODS: The study sample was based on the VHA Medical SAS Datasets from fiscal year 2008 through 2012. All patients diagnosed with chronic pain throughout the study period were identified using International Classification of Diseases, 9th Revision, Clinical Modification diagnosis codes 338.2 and 338.4. The variation in the prevalence of chronic pain was assessed and categorized according to the pain scale. Pain score was determined using a scale ranging from 0 to 10 as reported by patients using the following categories: 1 to 4: mild, 5 to 6: moderate and ?7: severe pain. To identify prior prevalence cases, we restricted continuous enrollment throughout that fiscal year and at least 2 years priorWOS:000354498505066Science Citation Index Expanded - Social Sciences Citation IndexMeeting AbstractUluslararası işbirliği ile yapılan - EVETMayısYÖK - 2014-1

    Understanding the relationship between effectiveness and outcome indicators to improve quality in healthcare

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    Onur Başer (MEF Author)Healthcare institutions face significant challenges in implementing quality initiatives such as performance measurement. In the wake of multiple studies emphasising deficiencies in performance measurement in healthcare, measuring the performance of healthcare services to improve quality takes a great attention in the literature. Understanding the relationships between performance indicators is a first step for this. Effectiveness, which is one of the performance indicators in healthcare, reflects the effect of health interventions on health outcomes. Accessibility of services and utilisation are the two main dimensions of this concept. These indicators have the potential for improving outcomes, performance, and quality in health. This study explores the relationship between effectiveness and health outcome indicators as they relate to the development level and geographic region of 81 provinces in Turkey using a path analytic model. The numbers of hospitals and physicians are used as indicators of accessibility of healthcare services, while the average length of stay and number of surgical operations are used as indicators of utilisation. Life expectancy and general satisfaction from healthcare services are determined as outcome measures. According to the final path model, a strong relationship exists between accessibility indicators and health outcomes. A strong relationship was also found between life expectancy and general satisfaction with healthcare services, which are the objective and subjective outcome measures in healthcare, respectively. These results help our understanding of the relationship among key performance measures to improve health systems performance and quality.WOS:0004416751000032-s2.0-85007291911Social Sciences Citation IndexArticleUluslararası işbirliği ile yapılmayan - HAYIREylülYÖK - 2018-1
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