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https://www.readbyqxmd.com/read/28926811/towards-better-monitoring-of-technology-critical-elements-in-europe-coupling-of-natural-and-anthropogenic-cycles
#1
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')...
September 16, 2017: 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
#2
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...
August 28, 2017: Ecotoxicology and Environmental Safety
https://www.readbyqxmd.com/read/28830113/big-data-for-infectious-disease-surveillance-and-modeling
#3
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
#4
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
#5
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
#6
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
#7
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...
July 17, 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
#8
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
#9
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...
July 25, 2017: Environmental Science & Technology
https://www.readbyqxmd.com/read/28643174/natural-language-processing-for-ehr-based-pharmacovigilance-a-structured-review
#10
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...
June 22, 2017: Drug Safety: An International Journal of Medical Toxicology and Drug Experience
https://www.readbyqxmd.com/read/28632895/genome-mining-reveals-high-incidence-of-putative-lipopeptide-biosynthesis-nrps-pks-clusters-containing-fatty-acyl-amp-ligase-genes-in-biofilm-forming-cyanobacteria
#11
Tomáš Galica, Pavel Hrouzek, Jan Mareš
Cyanobacterial lipopeptides exhibit antimicrobial and antifungal bioactivities with potential for use in pharmaceutical research. However, due to their haemolytic activity and cytotoxic effects against human cells, they may pose a health issue if produced in substantial amounts in the environment. In bacteria, lipopeptides can be synthesized via several well-evidenced mechanisms. In one of them, fatty acyl-AMP ligase (FAAL) initiates the biosynthesis by activation of a fatty acyl residue. We have performed a bioinformatic survey of the cyanobacterial genomic information available in the public databases for the presence of FAAL-containing non-ribosomal peptide synthetase/polyketide synthetase (NRPS/PKS) biosynthetic clusters, as a genetic basis for lipopeptide biosynthesis...
June 20, 2017: Journal of Phycology
https://www.readbyqxmd.com/read/28550999/process-mining-routinely-collected-electronic-health-records-to-define-real-life-clinical-pathways-during-chemotherapy
#12
Karl Baker, Elaine Dunwoodie, Richard G Jones, Alex Newsham, Owen Johnson, Christopher P Price, Jane Wolstenholme, Jose Leal, Patrick McGinley, Chris Twelves, Geoff Hall
BACKGROUND: There is growing interest in the use of routinely collected electronic health records to enhance service delivery and facilitate clinical research. It should be possible to detect and measure patterns of care and use the data to monitor improvements but there are methodological and data quality challenges. Driven by the desire to model the impact of a patient self-test blood count monitoring service in patients on chemotherapy, we aimed to (i) establish reproducible methods of process-mining electronic health records, (ii) use the outputs derived to define and quantify patient pathways during chemotherapy, and (iii) to gather robust data which is structured to be able to inform a cost-effectiveness decision model of home monitoring of neutropenic status during chemotherapy...
July 2017: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/28536089/smart-devices-for-older-adults-managing-chronic-disease-a-scoping-review
#13
REVIEW
Ben Yb Kim, Joon Lee
BACKGROUND: The emergence of smartphones and tablets featuring vastly advancing functionalities (eg, sensors, computing power, interactivity) has transformed the way mHealth interventions support chronic disease management for older adults. Baby boomers have begun to widely adopt smart devices and have expressed their desire to incorporate technologies into their chronic care. Although smart devices are actively used in research, little is known about the extent, characteristics, and range of smart device-based interventions...
May 23, 2017: JMIR MHealth and UHealth
https://www.readbyqxmd.com/read/28503788/indicators-of-inappropriate-tumour-marker-use-through-the-mining-of-electronic-health-records
#14
Massimo Gion, Giulia Cardinali, Chiara Trevisiol, Marco Zappa, Giulia Rainato, Aline S C Fabricio
RATIONALE, AIMS, AND OBJECTIVES: Although the issue of monitoring appropriateness of tumour markers (TMs) request in outpatients remains crucial, proper indicators are still demanding. The present study developed and explored indicators of inappropriate TM ordering in outpatients through the data mining of electronic health records (EHRs). METHODS: Carcinoembryonic antigen (CEA), alfa-fetoprotein (AFP), carbohydrate antigen (CA)125, CA15.3, CA19.9, and prostate-specific antigen (PSA) ordered in outpatients during a year were examined by mining EHRs of a Local Health Authority in Italy...
May 15, 2017: Journal of Evaluation in Clinical Practice
https://www.readbyqxmd.com/read/28445441/mining-productive-associated-periodic-frequent-patterns-in-body-sensor-data-for-smart-home-care
#15
Walaa N Ismail, Mohammad Mehedi Hassan
The understanding of various health-oriented vital sign data generated from body sensor networks (BSNs) and discovery of the associations between the generated parameters is an important task that may assist and promote important decision making in healthcare. For example, in a smart home scenario where occupants' health status is continuously monitored remotely, it is essential to provide the required assistance when an unusual or critical situation is detected in their vital sign data. In this paper, we present an efficient approach for mining the periodic patterns obtained from BSN data...
April 26, 2017: Sensors
https://www.readbyqxmd.com/read/28422699/hemorrhage-prediction-models-in-surgical-intensive-care-bedside-monitoring-data-adds-information-to-lab-values
#16
Marco De Pasquale, Travis Moss, Sergio Cerutti, James Calland, Douglas Lake, Randall Moorman, Manuela Ferrario
Hemorrhage is a frequent complication in surgery patients; its identification and management have received increasing attention as a target for quality improvement in patient care in the Intensive Care Unit (ICU). The purposes of this work were i) to find an early detection model for hemorrhage by exploring the range of data mining methods that are currently available, and ii) to compare prediction models utilizing continuously measured physiological data from bedside monitors to those using commonly obtained laboratory tests...
April 12, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28331566/person-centered-prediction-of-survival-in-population-based-screening-program-by-an-intelligent-clinical-decision-support-system
#17
Reza Safdari, Elham Maserat, Hamid Asadzadeh Aghdaei, Amir Hossein Javan Amoli, Hamid Mohaghegh Shalmani
AIM: To survey person centered survival rate in population based screening program by an intelligent clinical decision support system. BACKGROUND: Colorectal cancer is the most common malignancy and major cause of morbidity and mortality throughout the world. Colorectal cancer is the sixth leading cause of cancer death in Iran. In this survey, we used cosine similarity as data mining technique and intelligent system for estimating survival of at risk groups in the screening plan...
2017: Gastroenterology and Hepatology From Bed to Bench
https://www.readbyqxmd.com/read/28251276/lack-of-essential-information-in-spontaneous-reports-of-adverse-drug-reactions-in-catalonia-a-restraint-to-the-potentiality-for-signal-detection
#18
Lorraine Plessis, Ainhoa Gómez, Núria García, Gloria Cereza, Albert Figueras
PURPOSE: The aim of this study is to analyze the quality of the information contained in the adverse drug reactions (ADR) reports and to describe the magnitude and characteristics of the lacking information. METHODS: All reports of serious ADR received by the Catalan Center of Pharmacovigilance in 2014 were analyzed using the VigiGrade and a more clinical and qualitative approach. RESULTS: Up to 824 reports describing serious ADR were included in the study; of them, 503 (61...
June 2017: European Journal of Clinical Pharmacology
https://www.readbyqxmd.com/read/28214992/data-mining-in-hiv-aids-surveillance-system-application-to-portuguese-data
#19
Alexandra Oliveira, Brígida Mónica Faria, A Rita Gaio, Luís Paulo Reis
The Human Immunodeficiency Virus (HIV) is an infectious agent that attacks the immune system cells. Without a strong immune system, the body becomes very susceptible to serious life threatening opportunistic diseases. In spite of the great progresses on medication and prevention over the last years, HIV infection continues to be a major global public health issue, having claimed more than 36 million lives over the last 35 years since the recognition of the disease. Monitoring, through registries, of HIV-AIDS cases is vital to assess general health care needs and to support long-term health-policy control planning...
April 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28174760/mining-discriminative-patterns-to-predict-health-status-for-cardiopulmonary-patients
#20
Qian Cheng, Jingbo Shang, Joshua Juen, Jiawei Han, Bruce Schatz
Smartphones are ubiquitous now, but it is still unclear what physiological functions they can monitor at clinical quality. Pulmonary function is a standard measure of health status for cardiopulmonary patients. We have shown that predictive models can accurately classify cardiopulmonary conditions from healthy status, as well as different severity levels within cardiopulmonary disease, the GOLD stages. Here we propose several universal models to monitor cardiopulmonary conditions, including DPClass, a novel learning approach we designed...
October 2016: ACM-BCB: ACM Conference on Bioinformatics, Computational Biology and Biomedicine
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