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Health monitoring data mining

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https://www.readbyqxmd.com/read/29124637/large-scale-geographic-patterns-of-mercury-contamination-in-morocco-revealed-by-freshwater-turtles
#1
Tahar Slimani, Mohamed Said El Hassani, El Hassan El Mouden, Marine Bonnet, Paco Bustamante, François Brischoux, Maud Brault-Favrou, Xavier Bonnet
Mercury (Hg) is a toxic contaminant present in most aquatic ecosystems. High concentrations pose serious threats to organisms and to human health. Because previous studies focused on few countries, environmental hazard due to Hg contamination remains obscure in many geographic areas, and for example limited information is available in North Africa. We examined total Hg contamination in 13 sites in Morocco (12 rivers and one lake) spread over a large area, 400 km north-south and 350 km west-east, that encompasses different biogeographic zones separated by the Atlas Mountains...
November 9, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/29089287/scaling-up-research-on-drug-abuse-and-addiction-through-social-media-big-data
#2
Sunny Jung Kim, Lisa A Marsch, Jeffrey T Hancock, Amarendra K Das
BACKGROUND: Substance use-related communication for drug use promotion and its prevention is widely prevalent on social media. Social media big data involve naturally occurring communication phenomena that are observable through social media platforms, which can be used in computational or scalable solutions to generate data-driven inferences. Despite the promising potential to utilize social media big data to monitor and treat substance use problems, the characteristics, mechanisms, and outcomes of substance use-related communications on social media are largely unknown...
October 31, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/29068748/recommendation-system-for-immunization-coverage-and-monitoring
#3
Uzair Aslam Bhatti, Mengxing Huang, Hao Wang, Yu Zhang, Anum Mehmood, Wu Di
Immunization averts an expected 2 to 3 million deaths every year from diphtheria, tetanus, pertussis (whooping cough), and measles; however, an additional 1.5 million deaths could be avoided if vaccination coverage was improved worldwide. (1)(1) Data source for immunization records of 1.5 M: http://www.who.int/mediacentre/factsheets/fs378/en/ New vaccination technologies provide earlier diagnoses, personalized treatments and a wide range of other benefits for both patients and health care professionals. Childhood diseases that were commonplace less than a generation ago have become rare because of vaccines...
October 25, 2017: Human Vaccines & Immunotherapeutics
https://www.readbyqxmd.com/read/29060497/recognition-physical-activities-with-optimal-number-of-wearable-sensors-using-data-mining-algorithms-and-deep-belief-network
#4
Ali H Al-Fatlawi, Hayder K Fatlawi, Sai Ho Ling
Daily physical activities monitoring is benefiting the health care field in several ways, in particular with the development of the wearable sensors. This paper adopts effective ways to calculate the optimal number of the necessary sensors and to build a reliable and a high accuracy monitoring system. Three data mining algorithms, namely Decision Tree, Random Forest and PART Algorithm, have been applied for the sensors selection process. Furthermore, the deep belief network (DBN) has been investigated to recognise 33 physical activities effectively...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060424/combination-of-static-and-temporal-data-analysis-to-predict-mortality-and-readmission-in-the-intensive-care
#5
Janani Venugopalan, Nikhil Chanani, Kevin Maher, May D Wang
There are approximately 4 million intensive care unit (ICU) admissions each year in the United States with costs accounting for 4.1% of national health expenditures. Unforeseen adverse events contribute disproportionately to these costs. Thus, there has been substantial research in developing clinical decision support systems to predict and improve ICU outcomes such as ICU mortality, prolonged length of stay, and ICU readmission. However, the data in the ICU is collected at diverse time intervals and includes both static and temporal data...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29051449/do-16-polycyclic-aromatic-hydrocarbons-represent-pah-air-toxicity
#6
Vera Samburova, Barbara Zielinska, Andrey Khlystov
Estimation of carcinogenic potency based on analysis of 16 polycyclic aromatic hydrocarbons (PAHs) ranked by U.S. Environmental Protection Agency (EPA) is the most popular approach within scientific and environmental air quality management communities. The majority of PAH monitoring projects have been focused on particle-bound PAHs, ignoring the contribution of gas-phase PAHs to the toxicity of PAH mixtures in air samples. In this study, we analyzed the results of 13 projects in which 88 PAHs in both gas and particle phases were collected from different sources (biomass burning, mining operation, and vehicle emissions), as well as in urban air...
August 15, 2017: Toxics
https://www.readbyqxmd.com/read/29036859/from-awareness-to-action-sudbury-mining-and-occupational-disease-in-a-time-of-change
#7
Desre M Kramer, D Linn Holness, Emily Haynes, Keith McMillan, Colin Berriault, Sheila Kalenge, Nancy Lightfoot
BACKGROUND: Miners work in highly hazardous environments, but surprisingly, there are more fatalities from occupational diseases, including cancers, than from fatalities from injuries. Over the last few decades, the mining environment has become safer with fewer injuries and less exposure to the toxins that lead to occupational disease. There have been improvements in working conditions, and a reduction in the number of workers exposed, together with an overall improvement in the health of miners...
2017: Work: a Journal of Prevention, Assessment, and Rehabilitation
https://www.readbyqxmd.com/read/29029693/what-can-google-and-wikipedia-can-tell-us-about-a-disease-big-data-trends-analysis-in-systemic-lupus-erythematosus
#8
Savino Sciascia, Massimo Radin
OBJECTIVE: To investigate trends of Internet search volumes linked to Systemic Lupus Erythematosus (SLE), on-going clinical trials and research developments associated to the disease, using Big Data monitoring and data mining. METHODS: We performed a longitudinal analysis based on the large amount of data generated by Google Trends, scientific search tools (SCOPUS, Medline/Pubmed/ClinicalTrails.gov) considering 'SLE', and 'lupus' in a 5-year web-based research. Wikipedia page views were also analysed using WikiTrends and the results were compared with the search volumes generated by Google Trends...
November 2017: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/28990968/improvements-in-radiation-monitoring-trending
#9
Christopher Neil Passmore, Mirela Kirr
One of the main goals for Radiation Safety Professionals is to help maintain radiation worker doses below administrative control levels. In the radiation safety field there is an increasing recognition of the value of dosimetry-related data that can be used to enhance safety programs and regulatory compliance. Mining radiation dosimetry data and rendering results in the form of dashboards provides insights for the Radiation Safety Professionals that could help improve the radiological protection programs effectiveness, enhances quality, and reduces cost...
December 2017: Health Physics
https://www.readbyqxmd.com/read/28943777/addressing-location-uncertainties-in-gps-based-activity-monitoring-a-methodological-framework
#10
Neng Wan, Ge Lin, Gaines J Wilson
Location uncertainty has been a major barrier in information mining from location data. Although the development of electronic and telecommunication equipment has led to an increased amount and refined resolution of data about individuals' spatio-temporal trajectories, the potential of such data, especially in the context of environmental health studies, has not been fully realized due to the lack of methodology that addresses location uncertainties. This article describes a methodological framework for deriving information about people's continuous activities from individual-collected Global Positioning System (GPS) data, which is vital for a variety of environmental health studies...
August 2017: Transactions in GIS: TG
https://www.readbyqxmd.com/read/28926811/towards-better-monitoring-of-technology-critical-elements-in-europe-coupling-of-natural-and-anthropogenic-cycles
#11
Philip Nuss, Gian Andrea Blengini
The characterization of elemental cycles has a rich history in biogeochemistry. Well known examples include the global carbon cycle, or the cycles of the 'grand nutrients' nitrogen, phosphorus, and sulfur. More recently, efforts have increased to better understand the natural cycling of technology critical elements (TCEs), i.e. elements with a high supply risk and economic importance in the EU. On the other hand, tools such as material-flow analysis (MFA) can help to understand how substances and goods are transported and accumulated in man-made technological systems ('anthroposphere')...
February 1, 2018: Science of the Total Environment
https://www.readbyqxmd.com/read/28858702/large-scale-projects-in-the-amazon-and-human-exposure-to-mercury-the-case-study-of-the-tucuru%C3%A3-dam
#12
Gabriela P F Arrifano, Rosa C Rodríguez Martín-Doimeadios, María Jiménez-Moreno, Vanesa Ramírez-Mateos, Núbia F S da Silva, José Rogério Souza-Monteiro, Marcus Augusto-Oliveira, Ricardo S O Paraense, Barbarella M Macchi, José Luiz M do Nascimento, Maria Elena Crespo-Lopez
The Tucuruí Dam is one of the largest dams ever built in the Amazon. The area is not highly influenced by gold mining as a source of mercury contamination. Still, we recently noted that one of the most consumed fishes (Cichla sp.) is possibly contaminated with methylmercury. Therefore, this work evaluated the mercury content in the human population living near the Tucuruí Dam. Strict exclusion/inclusion criteria were applied for the selection of participants avoiding those with altered hepatic and/or renal functions...
January 2018: Ecotoxicology and Environmental Safety
https://www.readbyqxmd.com/read/28830113/big-data-for-infectious-disease-surveillance-and-modeling
#13
Shweta Bansal, Gerardo Chowell, Lone Simonsen, Alessandro Vespignani, Cécile Viboud
We devote a special issue of the Journal of Infectious Diseases to review the recent advances of big data in strengthening disease surveillance, monitoring medical adverse events, informing transmission models, and tracking patient sentiments and mobility. We consider a broad definition of big data for public health, one encompassing patient information gathered from high-volume electronic health records and participatory surveillance systems, as well as mining of digital traces such as social media, Internet searches, and cell-phone logs...
December 1, 2016: Journal of Infectious Diseases
https://www.readbyqxmd.com/read/28815108/monitoring-biomedical-literature-for-post-market-safety-purposes-by-analyzing-networks-of-text-based-coded-information
#14
Taxiarchis Botsis, Matthew Foster, Kory Kreimeyer, Abhishek Pandey, Richard Forshee
Literature review is critical but time-consuming in the post-market surveillance of medical products. We focused on the safety signal of intussusception after the vaccination of infants with the Rotashield Vaccine in 1999 and retrieved all PubMed abstracts for rotavirus vaccines published after January 1, 1998. We used the Event-based Text-mining of Health Electronic Records system, the MetaMap tool, and the National Center for Biomedical Ontologies Annotator to process the abstracts and generate coded terms stamped with the date of publication...
2017: AMIA Summits on Translational Science Proceedings
https://www.readbyqxmd.com/read/28768495/exploring-the-determinants-of-health-and-wellbeing-in-communities-living-in-proximity-to-coal-seam-gas-developments-in-regional-queensland
#15
Fiona Mactaggart, Liane McDermott, Anna Tynan, Christian A Gericke
BACKGROUND: There is some concern that coal seam gas mining may affect health and wellbeing through changes in social determinants such as living and working conditions, local economy and the environment. The onward impact of these conditions on health and wellbeing is often not monitored to the same degree as direct environmental health impacts in the mining context, but merits attention. This study reports on the findings from a recurrent theme that emerged from analysis of the qualitative component of a comprehensive Health Needs Assessment (HNA) conducted in regional Queensland: that health and wellbeing of communities was reportedly affected by nearby coal seam gas (CSG) development beyond direct environmental impacts...
August 3, 2017: BMC Public Health
https://www.readbyqxmd.com/read/28727733/a-new-methodology-for-sampling-blackflies-for-the-entomological-surveillance-of-onchocerciasis-in-brazil
#16
Érika S do Nascimento-Carvalho, Raquel de Andrade Cesário, Vladimir Fazito do Vale, Arion Tulio Aranda, Ana Carolina Dos Santos Valente, Marilza Maia-Herzog
The effectiveness of the MosqTent® trap was evaluated in endemic area to onchocerciasis in Brazil. This study seeks to provide subsidies for the monitoring of the onchocerciasis transmission in the country. The study was carried out at the Homoxi and Thirei villages, located in the Yanomami Indigenous Land, in the state of Roraima. This area presents hyperendemicity, high blackflies densities, large population migrations and mining activities. The Homoxi and Thirei villages are assisted by the Brazilian Ministry of Health...
2017: PloS One
https://www.readbyqxmd.com/read/28718018/the-environmental-legacy-of-historic-pb-zn-ag-au-mining-in-river-basins-of-the-southern-edge-of-the-massif-central-france
#17
Françoise Elbaz-Poulichet, Eléonore Resongles, Chrystelle Bancon-Montigny, Sophie Delpoux, Rémi Freydier, Corinne Casiot
The main rivers (Aude, Orb, Herault) that discharge into the Gulf of Lions and the west bank tributaries of the Rhone River including the Gardon have former non-ferrous metal mines in their upper drainage basin. Using unpublished data and data from the literature, this study provides an integrated overview of the contamination of water and sediment along the continent-sea continuum and of its impacts on the biota and on human health. In the upper part of these basins, water and stream sediments are enriched in metal(-loids) compared to median European concentrations...
September 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28701291/patterns-of-user-engagement-with-the-mobile-app-manage-my-pain-results-of-a-data-mining-investigation
#18
Quazi Abidur Rahman, Tahir Janmohamed, Meysam Pirbaglou, Paul Ritvo, Jane M Heffernan, Hance Clarke, Joel Katz
BACKGROUND: Pain is one of the most prevalent health-related concerns and is among the top 3 most common reasons for seeking medical help. Scientific publications of data collected from pain tracking and monitoring apps are important to help consumers and healthcare professionals select the right app for their use. OBJECTIVE: The main objectives of this paper were to (1) discover user engagement patterns of the pain management app, Manage My Pain, using data mining methods; and (2) identify the association between several attributes characterizing individual users and their levels of engagement...
July 12, 2017: JMIR MHealth and UHealth
https://www.readbyqxmd.com/read/28700235/quantitative-crassphage-pcr-assays-for-human-fecal-pollution-measurement
#19
Elyse Stachler, Catherine Kelty, Mano Sivaganesan, Xiang Li, Kyle Bibby, Orin C Shanks
Environmental waters are monitored for fecal pollution to protect public health and water resources. Traditionally, general fecal-indicator bacteria are used; however, they cannot distinguish human fecal waste from other animal pollution sources. Recently, a novel bacteriophage, crAssphage, was discovered by metagenomic data mining and reported to be abundant in and closely associated with human fecal waste. To confirm bioinformatic predictions, 384 primer sets were designed along the length of the crAssphage genome...
August 15, 2017: Environmental Science & Technology
https://www.readbyqxmd.com/read/28643174/natural-language-processing-for-ehr-based-pharmacovigilance-a-structured-review
#20
REVIEW
Yuan Luo, William K Thompson, Timothy M Herr, Zexian Zeng, Mark A Berendsen, Siddhartha R Jonnalagadda, Matthew B Carson, Justin Starren
The goal of pharmacovigilance is to detect, monitor, characterize and prevent adverse drug events (ADEs) with pharmaceutical products. This article is a comprehensive structured review of recent advances in applying natural language processing (NLP) to electronic health record (EHR) narratives for pharmacovigilance. We review methods of varying complexity and problem focus, summarize the current state-of-the-art in methodology advancement, discuss limitations and point out several promising future directions...
November 2017: Drug Safety: An International Journal of Medical Toxicology and Drug Experience
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