Use of Sildenafil in Pulmonary Arterial Hypertension: Findings from a U.S. Healthcare Claims Database by Ariel Berger, John Edelsberg, Simon Teal, Marko A. Mychaskiw, Gerry Oster

“…**Methods:** Using a large U.S. healthcare claims database, we identified all patients with evidence of PAH (International Classification of Disease, 9th Revision, Clinical Modification [ICD-9-CM] diagnosis codes 416.0, 416.8) and receipt of sildenafil between January 1, 2005 and September 30, 2008. …”
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AIRBORNE LASER SCANNER AS A DATA SOURCE FOR BUILDING SELECTED ELEMENTS OF AN INTELLIGENT DATABASE FOR TRANSPORTATION by Agnieszka SOLARZ, Natalia BOROWIEC

“…The results of the analysis showed that the use of lidar data provides a fast and effective method for continuously updating information on road infrastructure and expanding the transportation database. This potentially opens the door to effectively updating relevant data in the area of transportation infrastructure.…”
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Protein Backbone Torsion Angle-Based Structure Comparison and Secondary Structure Database Web Server by Sunghoon Jung, Se-Eun Bae, Insung Ahn, Hyeon S. Son

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The mutation atlas of giant kelp (Macrocystis pyrifera): a mutation database resource for natural knockouts by Jose Francisco Diesel, Gary Molano, Sergey V. Nuzhdin

“…The creation of this mutation effect database, attached to the seedbank of these individuals, offers several applications, including enhancing breeding programs, aiding genetic engineering with naturally occurring mutations, and developing strategies to mitigate the impact of environmental changes.…”
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Knowledge management in the desing of welding joints by Tomas Kaminskas, Genadijus Kulvietis, Leonas Keblas

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Prediction of Liver Steatosis and Fibrosis Based on Clinical Variables Using a Large National Survey Database by Yanal Alnimer, Touleen Alnimer

“…We used the National Health and Nutritional Examination Survey 2017-2018 database to identify the clinical predictors strongly related to liver steatosis and advanced fibrosis. …”
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A novel perspective on survival prediction for AML patients: Integration of machine learning in SEER database applications by Zheng-yi Jia, Maierbiya Abulimiti, Yun Wu, Li-na Ma, Xiao-yu Li, Jie Wang

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Enriching the HSN With Individual Causes of Death. A Database for a Life-Course Analysis of Victims and Survivors by Tim Riswick

“…The focus of this article is on how a newly created database on causes of death in Amsterdam (1854–1940) may offer innovative insights by combining it with the available information from the Historical Sample of the Netherlands (HSN). …”
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Safety profiles of sevoflurane in pediatric patients: a real-world pharmacovigilance assessment based on the FAERS database by Chuang Yang, Bangjian Deng, Qiang Wen, Pei Guo, Xiang Liu, Chen Wang

“…We also compared the adverse events related to sevoflurane between pediatric and adult populations.ResultsThe FAERS database yielded 21,838,627 adverse event reports for children, with 474 involving sevoflurane as the primary suspect. …”
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High-Fidelity Aerothermal Engineering Analysis for Planetary Probes Using DOTNET Framework and OLAP Cubes Database by Prabhakar Subrahmanyam

“…Sparta is a trajectory engine that is hooked to an Online Analytical Processing (OLAP) database for Multi-dimensional analysis capability. …”
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Possibility of the Use of Public Microarray Database for Identifying Significant Genes Associated with Oral Squamous Cell Carcinoma by Ki-Yeol Kim, In-Ho Cha

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Disease-Specific Target Gene Expression Profiling of Molecular Imaging Probes: Database Development and Clinical Validation by Lawrence Wing-Chi Chan, Connie Hiu-Ching Ngo, Fengfeng Wang, Moss Y. Zhao, Mengying Zhao, Helen Ka-Wai Law, Sze Chuen Cesar Wong, Benjamin Yat-Ming Yung

“…A Web search tool of the DIPP database is available at http://www.polyu.edu.hk/bmi/dipp/ .…”
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Tumor Deposits as an Adverse Prognostic Indicator in Stage III Colon Cancer: A Multicenter Database Study by Jeeyou Kim, MD, Dong Woon Lee, MD, Ji Won Park, MD, PhD, Seung-Bum Ryoo, MD, PhD, Heung-Kwon Oh, MD, PhD, Rumi Shin, MD, PhD, Jin Sun Choi, MD, Min Jung Kim, MD, Sung-Chan Park, MD, Duck-Woo Kim, MD, PhD, Seung Chul Heo, MD, PhD, Sung-Bum Kang, MD, PhD, Seung-Yong Jeong, MD, PhD, Kyu Joo Park, MD, PhD, Jae Hwan Oh, MD, PhD, On Behalf of the Seoul Colorectal Research Group (SECOG)

“…Survival outcomes obtained using the Surveillance, Epidemiology, and End Results *Stat database yielded consistent results. Conclusions:. …”
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Using Large Institutional or National Databases to Evaluate Prostate Cancer Outcomes and Patterns of Care: Possibilities and Limitations by Daniel Su, Thomas L. Jang

“…Furthermore, the studies using these databases may provide information on how side effects from various treatments can affect one's quality of life. …”
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Genome Analysis of Pass2 a Semi-Automated Database of Protein Alignments Organised as Structural Superfamilies by Anirban Bhaduri, V. Mallika, R. Sowdhamini

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Association of impaired levels with outcomes for cervical fracture dislocation using the Japanese diagnosis procedure combination database by Kazuma Doi, Naoki Otani, Norihiko Inoue, Junichi Mizuno, Kiyohide Fushimi, Atsuo Yoshino

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COph100: A comprehensive fundus image registration dataset from infants constituting the “RIDIRP” database by Yan Hu, Mingdao Gong, Zhongxi Qiu, Jiabao Liu, Hongli Shen, Mingzhen Yuan, Xiaoqing Zhang, Heng Li, Hai Lu, Jiang Liu

“…To address this gap, we introduce COph100, a novel and challenging dataset known as the Comprehensive Ophthalmology Retinal Image Registration dataset for infants with a wide range of image quality issues constituting the public “RIDIRP” database. COph100 consists of 100 eyes, each with 2 to 9 examination sessions, amounting to a total of 491 image pairs carefully selected from the publicly available dataset. …”
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Comparison of FRAX Scores of Southern California Females of Mexican Descent Using US Hispanic and Mexico Database by Keaton M. Nasser, Augusto Focil, Stuart L. Silverman

“…The 10-year absolute risk of major osteoporotic fracture among women of Mexican descent using the US Hispanic database was 4.82 ± 5.03 (95% CI 3.97–5.67) compared to 4.86 ± 4.72 (CI 3.98–5.44) using the Mexico database (P=.94). …”
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Database and geospatial mapping study of those eligible for extracorporeal cardiopulmonary resuscitation in the Thames Valley Region, England by Oscar Millerchip, Jasper Eddison, Alex Rosenberg, Jon Bailey, James Raitt

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Prediction of Postoperative Survival in Young Colorectal Cancer Patients: A Cohort Study Based on the SEER Database by Sheng Pan, Wenchao Mei, Linfei Huang, Yan’e Tao, Jing Xu, Yuelu Ruan

“…Materials and Methods. We used the SEER database to retrieve young patients diagnosed with colorectal cancer who had undergone surgery between 2010 and 2015 as the study cohort. …”
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