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https://www.readbyqxmd.com/read/29321918/reproductive-management-in-dairy-cows-the-future
#1
REVIEW
Mark A Crowe, Miel Hostens, Geert Opsomer
Background: Drivers of change in dairy herd health management include the significant increase in herd/farm size, quota removal (within Europe) and the increase in technologies to aid in dairy cow reproductive management. Main body: There are a number of key areas for improving fertility management these include: i) handling of substantial volumes of data, ii) genetic selection (including improved phenotypes for use in breeding programmes), iii) nutritional management (including transition cow management), iv) control of infectious disease, v) reproductive management (and automated systems to improve reproductive management), vi) ovulation / oestrous synchronisation, vii) rapid diagnostics of reproductive status, and viii) management of male fertility...
2018: Irish Veterinary Journal
https://www.readbyqxmd.com/read/29300701/speech2health-a-mobile-framework-for-monitoring-dietary-composition-from-spoken-data
#2
Niloofar Hezarjaribi, Sepideh Mazrouee, Hassan Ghasemzadeh
Diet and physical activity are known as important lifestyle factors in self-management and prevention of many chronic diseases. Mobile sensors such as accelerometers have been used to measure physical activity or detect eating time. In many intervention studies, however, stringent monitoring of overall dietary composition and energy intake is needed. Currently, such a monitoring relies on self-reported data by either entering text or taking an image that represents food intake. These approaches suffer from limitations such as low adherence in technology adoption and time sensitivity to the diet intake context...
January 2018: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/29298748/from-ehealth-to-ihealth-transition-to-participatory-and-personalized-medicine-in-mental-health
#3
Sofian Berrouiguet, Mercedes M Perez-Rodriguez, Mark Larsen, Enrique Baca-García, Philippe Courtet, Maria Oquendo
Clinical assessment in psychiatry is commonly based on findings from brief, regularly scheduled in-person appointments. Although critically important, this approach reduces assessment to cross-sectional observations that miss essential information about disease course. The mental health provider makes all medical decisions based on this limited information. Thanks to recent technological advances such as mobile phones and other personal devices, electronic health (eHealth) data collection strategies now can provide access to real-time patient self-report data during the interval between visits...
January 3, 2018: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/29276807/dave-detecting-agitated-vocal-events
#4
Asif Salekin, Hongning Wang, Kristine Williams, John Stankovic
DAVE is a comprehensive set of event detection techniques to monitor and detect 5 important verbal agitations: asking for help, verbal sexual advances, questions, cursing, and talking with repetitive sentences. The novelty of DAVE includes combining acoustic signal processing with three different text mining paradigms to detect verbal events (asking for help, verbal sexual advances, and questions) which need both lexical content and acoustic variations to produce accurate results. To detect cursing and talking with repetitive sentences we extend word sense disambiguation and sequential pattern mining algorithms...
July 2017: ...IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies
https://www.readbyqxmd.com/read/29181235/systematic-review-of-data-mining-applications-in-patient-centered-mobile-based-information-systems
#5
Mina Fallah, Sharareh R Niakan Kalhori
Objectives: Smartphones represent a promising technology for patient-centered healthcare. It is claimed that data mining techniques have improved mobile apps to address patients' needs at subgroup and individual levels. This study reviewed the current literature regarding data mining applications in patient-centered mobile-based information systems. Methods: We systematically searched PubMed, Scopus, and Web of Science for original studies reported from 2014 to 2016...
October 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/29124637/large-scale-geographic-patterns-of-mercury-contamination-in-morocco-revealed-by-freshwater-turtles
#6
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
#7
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
#8
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
#9
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
#10
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
#11
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
#12
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
#13
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
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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