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Health monitoring data mining

Sam Liu, Miaoqi Zhu, Dong Jin Yu, Alexander Rasin, Sean D Young
BACKGROUND: College can be stressful for many freshmen as they cope with a variety of stressors. Excess stress can negatively affect both psychological and physical health. Thus, there is a need to find innovative and cost-effective strategies to help identify students experiencing high levels of stress to receive appropriate treatment. Social media use has been rapidly growing, and recent studies have reported that data from these technologies can be used for public health surveillance...
January 10, 2017: JMIR Mental Health
Jin-Yong Chung, Byoung-Gwon Kim, Byung-Kook Lee, Jai-Dong Moon, Joon Sakong, Man Joong Jeon, Jung-Duck Park, Byung-Sun Choi, Nam-Soo Kim, Seung-Do Yu, Jung-Wook Seo, Byeong-Jin Ye, Hyoun-Ju Lim, Young-Seoub Hong
BACKGROUND: Arsenic is a carcinogenic heavy metal that has a species-dependent health effects and abandoned metal mines are a source of significant arsenic exposure. Therefore, the aims of this study were to analyze urinary arsenic species and their concentration in residents living near abandoned metal mines and to monitor the environmental health effects of abandoned metal mines in Korea. METHODS: This study was performed in 2014 to assess urinary arsenic excretion patterns of residents living near abandoned metal mines in South Korea...
2016: Annals of Occupational and Environmental Medicine
Vasileios N Matthaios, Athanasios G Triantafyllou, Petros Koutrakis
: Periods of abnormally high concentrations of atmospheric pollutants, defined as air pollution episodes, can cause adverse health effects. Southern European countries experience high particulate matter (PM) levels originating from local and distant sources. In this study, we investigated the occurrence and nature of extreme PM10 (PM with an aerodynamic diameter ≤10 μm) pollution episodes in Greece. We examined PM10 concentration data from 18 monitoring stations located at five sites across the country: (1) an industrial area in northwestern Greece (Western Macedonia Lignite Area, WMLA), which includes sources such as lignite mining operations and lignite power plants that generate a high percentage of the energy in Greece; (2) the greater Athens area, the most populated area of the country; and (3) Thessaloniki, (4) Patra, and (5) Volos, three large cities in Greece...
2017: Journal of the Air & Waste Management Association
Deborah de Castro E Lima Baesse, Alexandra Monteiro Grisolia, Ana Emilia Figueiredo de Oliveira
BACKGROUND: This paper presents the results of a study of the Monsys monitoring system, an educational support tool designed to prevent and control the dropout rate in a distance learning course in family health. Developed by UNA-SUS/UFMA, Monsys was created to enable data mining in the virtual learning environment known as Moodle. METHODS: This is an exploratory study using documentary and bibliographic research and analysis of the Monsys database. Two classes (2010 and 2011) were selected as research subjects, one with Monsys intervention and the other without...
August 22, 2016: BMC Medical Education
Oresti Banos, Claudia Villalonga, Jaehun Bang, Taeho Hur, Donguk Kang, Sangbeom Park, Thien Huynh-The, Vui Le-Ba, Muhammad Bilal Amin, Muhammad Asif Razzaq, Wahajat Ali Khan, Choong Seon Hong, Sungyoung Lee
There is sufficient evidence proving the impact that negative lifestyle choices have on people's health and wellness. Changing unhealthy behaviours requires raising people's self-awareness and also providing healthcare experts with a thorough and continuous description of the user's conduct. Several monitoring techniques have been proposed in the past to track users' behaviour; however, these approaches are either subjective and prone to misreporting, such as questionnaires, or only focus on a specific component of context, such as activity counters...
2016: Sensors
Gina Sprint, Diane J Cook, Maureen Schmitter-Edgecombe
Sensor-based time series data can be utilized to monitor changes in human behavior as a person makes a significant lifestyle change, such as progress toward a fitness goal. Recently, wearable sensors have increased in popularity as people aspire to be more conscientious of their physical health. Automatically detecting and tracking behavior changes from wearable sensor-collected physical activity data can provide a valuable monitoring and motivating tool. In this paper, we formalize the problem of unsupervised physical activity change detection and address the problem with our Physical Activity Change Detection (PACD) approach...
October 2016: Journal of Biomedical Informatics
Chris Allen, Ming-Hsiang Tsou, Anoshe Aslam, Anna Nagel, Jean-Mark Gawron
Traditional methods for monitoring influenza are haphazard and lack fine-grained details regarding the spatial and temporal dynamics of outbreaks. Twitter gives researchers and public health officials an opportunity to examine the spread of influenza in real-time and at multiple geographical scales. In this paper, we introduce an improved framework for monitoring influenza outbreaks using the social media platform Twitter. Relying upon techniques from geographic information science (GIS) and data mining, Twitter messages were collected, filtered, and analyzed for the thirty most populated cities in the United States during the 2013-2014 flu season...
2016: PloS One
Elizabeth A Brown
Employers are collecting and using their employees' health data, mined from wearable fitness devices and health apps, in new, profitable, and barely regulated ways. The importance of protecting employee health and fitness data will grow exponentially in the future. This is the moment for a robust discussion of how law can better protect employees from the potential misuse of their health data. While scholars have just begun to examine the problem of health data privacy, this Article contributes to the academic literature in three important ways...
2016: Yale Journal of Health Policy, Law, and Ethics
Narottam Saha, Gregory E Webb, Jian-Xin Zhao
Coral reefs maintain extraordinary biodiversity and provide protection from tsunamis and storm surge, but inshore coral reef health is degrading in many regions due to deteriorating water quality. Deconvolving natural and anthropogenic changes to water quality is hampered by the lack of long term, dated water quality data but such records are required for forward modelling of reef health to aid their management. Reef corals provide an excellent archive of high resolution geochemical (trace element) proxies that can span hundreds of years and potentially provide records used through the Holocene...
October 1, 2016: Science of the Total Environment
Jorge Henriques, Paulo de Carvalho, Teresa Rocha, Simão Paredes, João Morais
The employment of personal health systems (pHealth) is a valuable concept in the management of chronic diseases, particularly in the context of cardiovascular diseases. By means of a continuous monitoring of the patient it is possible to seamless access multiple sources of data, including physiological signals, providing professionals with a global and reliable view of the patient's status. In practice, it is possible the prompt diagnosis of events, the early prediction of critical events and the implementation of personalized therapies...
2016: Studies in Health Technology and Informatics
Christian Moltu, Marius Veseth, Jon Stefansen, Jan Christian Nøtnes, Åse Skjølberg, Per-Einar Binder, Louis Georges Castonguay, Samuel S Nordberg
: Routine outcome monitoring and clinical feedback systems (ROM/CFSs) are promising methods of providing naturalistic research data and enhancing mental health care. However, implementation in routine care is challenging, and we need more knowledge about clinicians' and patients' needs from such systems. OBJECTIVE: We aimed to study perspectives of clinicians and patients to explore how ROM/CFS can be helpful and acceptable to them. METHOD: We interviewed 55 participants in focus groups and individual interviews and analyzed the data through rigorous team-based qualitative analyses...
May 24, 2016: Psychotherapy Research: Journal of the Society for Psychotherapy Research
Altug Akay, Andrei Dragomir, Bjorn-Erik Erlandsson
Depression is a global health concern. Social networks allow the affected population to share their experiences. These experiences, when mined, extracted, and analyzed, can be converted into either warnings to recall drugs (dangerous side effects), or service improvement (interventions, treatment options) based on observations derived from user behavior in depression-related social networks. Our aim was to develop a weighted network model to represent user activity on social health networks. This enabled us to accurately represent user interactions by relying on the data's semantic content...
July 2016: IEEE Journal of Biomedical and Health Informatics
Ivica Smokovski, Tatjana Milenkovic, Caroline Trapp, Aleksandar Mitov
BACKGROUND: The Republic of Macedonia (RoM) has experienced a rapid rise in the prevalence of type 2 diabetes (T2D) over the past 2 decades, a period characterized by significant social, political, and economic change. RoM now has one of the highest rates of diabetes in Europe. OBJECTIVES: To explore the modifiable conditions that may underlie and exacerbate the T2D epidemic; describe the state of diabetes care; and consider improved mechanisms for prevention and treatment, including research priorities, in RoM...
November 2015: Annals of Global Health
Scott T Shemory, Kiel J Pfefferle, Ian M Gradisar
Low back pain is one of the most common reasons for physician visits in the United States and is a chief complaint frequently seen by orthopedic surgeons. Patients with chronic low back pain can experience recurring debilitating pain and disability, decreasing their quality of life. A commercially available software platform, Explorys (Explorys, Inc, Cleveland, Ohio), was used to mine a pooled electronic health care database consisting of the medical records of more than 26 million patients. According to the available medical history data, 1...
May 1, 2016: Orthopedics
Maëlle Salmon, Dirk Schumacher, Hendrik Burmann, Christina Frank, Hermann Claus, Michael Höhle
We describe the design and implementation of a novel automated outbreak detection system in Germany that monitors the routinely collected surveillance data for communicable diseases. Detecting unusually high case counts as early as possible is crucial as an accumulation may indicate an ongoing outbreak. The detection in our system is based on state-of-the-art statistical procedures conducting the necessary data mining task. In addition, we have developed effective methods to improve the presentation of the results of such algorithms to epidemiologists and other system users...
2016: Euro Surveillance: Bulletin Européen sur les Maladies Transmissibles, European Communicable Disease Bulletin
Emily Joy Haas, Dana Willmer, Andrew B Cecala
BACKGROUND: The use of formative research as a critical component of intervention planning is highly supported in the literature. However, studies that report such processes in practice are minimal. This paper reports on the formative data collection and analysis that informed the development of a multilevel intervention that utilizes mine assessment technology to bridge health communication between workers and management to reduce mine worker overexposure to respirable silica dust. METHODS: Formative research to assess the feasibility and utility of this intervention design included stakeholder meetings and feedback, mine visits and observations, interviews with mine workers, and a focus group with mine management...
2016: Pilot and Feasibility Studies
Jason G Carney, Brian D Gushulak
With a growing awareness of the association between extractive industries, the nature of work in remote locations, population mobility and health status, there is a need to advance an evidence-based approach to ensuring the health of migrant and mobile populations, and the home and host communities with whom they interact. Through a narrative synthesis of peer-reviewed and grey literature, this review examines what is known, and the nature of research activity concerning the range of health impacts determined by the social conditions inherent with population mobility alongside mining and extractive industries; and the extent to which health outcomes impact on workers, and home and host communities...
June 2016: Journal of Immigrant and Minority Health
Burke W Mamlin, William M Tierney
Healthcare is an information business with expanding use of information and communication technologies (ICTs). Current ICT tools are immature, but a brighter future looms. We examine 7 areas of ICT in healthcare: electronic health records (EHRs), health information exchange (HIE), patient portals, telemedicine, social media, mobile devices and wearable sensors and monitors, and privacy and security. In each of these areas, we examine the current status and future promise, highlighting how each might reach its promise...
January 2016: American Journal of the Medical Sciences
Abeed Sarker, Azadeh Nikfarjam, Graciela Gonzalez
Social media has evolved into a crucial resource for obtaining large volumes of real-time information. The promise of social media has been realized by the public health domain, and recent research has addressed some important challenges in that domain by utilizing social media data. Tasks such as monitoring flu trends, viral disease outbreaks, medication abuse, and adverse drug reactions are some examples of studies where data from social media have been exploited. The focus of this workshop is to explore solutions to three important natural language processing challenges for domain-specific social media text: (i) text classification, (ii) information extraction, and (iii) concept normalization...
2016: Pacific Symposium on Biocomputing
Michael J Paul, Abeed Sarker, John S Brownstein, Azadeh Nikfarjam, Matthew Scotch, Karen L Smith, Graciela Gonzalez
This paper describes topics pertaining to the session, "Social Media Mining for Public Health Monitoring and Surveillance," at the Pacific Symposium on Biocomputing (PSB) 2016. In addition to summarizing the content of the session, this paper also surveys recent research on using social media data to study public health. The survey is organized into sections describing recent progress in public health problems, computational methods, and social implications.
2016: Pacific Symposium on Biocomputing
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