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https://www.readbyqxmd.com/read/29244814/forecasting-influenza-like-illness-dynamics-for-military-populations-using-neural-networks-and-social-media
#1
Svitlana Volkova, Ellyn Ayton, Katherine Porterfield, Courtney D Corley
This work is the first to take advantage of recurrent neural networks to predict influenza-like illness (ILI) dynamics from various linguistic signals extracted from social media data. Unlike other approaches that rely on timeseries analysis of historical ILI data and the state-of-the-art machine learning models, we build and evaluate the predictive power of neural network architectures based on Long Short Term Memory (LSTMs) units capable of nowcasting (predicting in "real-time") and forecasting (predicting the future) ILI dynamics in the 2011 - 2014 influenza seasons...
2017: PloS One
https://www.readbyqxmd.com/read/29229659/a-smoking-prevention-photoageing-intervention-for-secondary-schools-in-brazil-delivered-by-medical-students-protocol-for-a-randomised-trial
#2
Bianca Lisa Faria, Christian M Brieske, Ioana Cosgarea, Albert J Omlor, Fabian N Fries, Christian Olber Moreira de Faria, Henrique Augusto Lino, Ana Carla Cruz Oliveira, Oscar Campos Lisboa, Joachim Klode, Dirk Schadendorf, Breno Bernardes-Souza, Titus J Brinker
INTRODUCTION: Most smokers start smoking during their early adolescence, often with the idea that smoking is glamorous; the dramatic health consequences are too far in the future to fathom. We recently designed and tested an intervention that takes advantage of the broad availability of mobile phones as well as adolescents' interest in their appearance. A free photoageing mobile app (Smokerface) was implemented by medical students in secondary schools via a novel method called mirroring...
December 10, 2017: BMJ Open
https://www.readbyqxmd.com/read/29222076/adverse-drug-event-discovery-using-biomedical-literature-a-big-data-neural-network-adventure
#3
Ahmad P Tafti, Jonathan Badger, Eric LaRose, Ehsan Shirzadi, Andrea Mahnke, John Mayer, Zhan Ye, David Page, Peggy Peissig
BACKGROUND: The study of adverse drug events (ADEs) is a tenured topic in medical literature. In recent years, increasing numbers of scientific articles and health-related social media posts have been generated and shared daily, albeit with very limited use for ADE study and with little known about the content with respect to ADEs. OBJECTIVE: The aim of this study was to develop a big data analytics strategy that mines the content of scientific articles and health-related Web-based social media to detect and identify ADEs...
December 8, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29214409/strategies-to-implement-pre-exposure-prophylaxis-with-men-who-have-sex-with-men-in-ukraine
#4
Alex Dubov, Liana Fraenkel, Roman Yorick, Adedotun Ogunbajo, Frederick L Altice
Ukrainian men who have sex with men (MSM) remain highly stigmatized group with HIV prevalence as high as 23%. Despite documented effectiveness of pre-exposure prophylaxis (PrEP), PrEP remains unavailable in Ukraine. The aim of this study was to elicit MSM preferences in order to inform program development to facilitate successful delivery of PrEP to Ukrainian MSM. 1184 MSM were recruited through social networking applications to complete a stated preference (choice-based conjoint) survey. Respondents completed 14 choice tasks presenting experimentally-varied combinations of five attributes related to PrEP administration (dosing frequency, dispensing venue, prescription practices, adherence support, and costs)...
December 6, 2017: AIDS and Behavior
https://www.readbyqxmd.com/read/29208026/operationalizing-mhealth-to-improve-patient-care-a-qualitative-implementation-science-evaluation-of-the-weltel-texting-intervention-in-canada-and-kenya
#5
Kevin Louis Bardosh, Melanie Murray, Antony M Khaemba, Kirsten Smillie, Richard Lester
BACKGROUND: Mobile health (mHealth) applications have proliferated across the globe with much enthusiasm, although few have reached scale and shown public health impact. In this study, we explored how different contextual factors influenced the implementation, effectiveness and potential for scale-up of WelTel, an easy-to-use and evidence-based mHealth intervention. WelTel uses two-way SMS communication to improve patient adherence to medication and engagement in care, and has been developed and tested in Canada and Kenya...
December 6, 2017: Globalization and Health
https://www.readbyqxmd.com/read/29197929/transdiagnostic-symptom-clusters-and-associations-with-brain-behavior-and-daily-function-in-mood-anxiety-and-trauma-disorders
#6
Katherine A Grisanzio, Andrea N Goldstein-Piekarski, Michelle Yuyun Wang, Abdullah P Rashed Ahmed, Zoe Samara, Leanne M Williams
Importance: The symptoms that define mood, anxiety, and trauma disorders are highly overlapping across disorders and heterogeneous within disorders. It is unknown whether coherent subtypes exist that span multiple diagnoses and are expressed functionally (in underlying cognition and brain function) and clinically (in daily function). The identification of cohesive subtypes would help disentangle the symptom overlap in our current diagnoses and serve as a tool for tailoring treatment choices...
December 3, 2017: JAMA Psychiatry
https://www.readbyqxmd.com/read/29194361/social-networks-engagement-and-resilience-in-university-students
#7
Elena Fernández-Martínez, Elena Andina-Díaz, Rosario Fernández-Peña, Rosa García-López, Iván Fulgueiras-Carril, Cristina Liébana-Presa
Analysis of social networks may be a useful tool for understanding the relationship between resilience and engagement, and this could be applied to educational methodologies, not only to improve academic performance, but also to create emotionally sustainable networks. This descriptive study was carried out on 134 university students. We collected the network structural variables, degree of resilience (CD-RISC 10), and engagement (UWES-S). The computer programs used were excel, UCINET for network analysis, and SPSS for statistical analysis...
December 1, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/29186460/understanding-the-relation-between-socioeconomic-position-and-inflammation-in-post-menopausal-women-education-income-and-occupational-prestige
#8
Jolene Masters Pedersen, Esben Budtz-Jørgensen, Anneclaire De Roos, Lorena Garcia, Rikke Lund, Naja Hulvej Rod, Candyce Kroenke, Kei Hang Katie Chan, Simin Liu, Yvonne Michael
Background: The role of occupational prestige, a direct measure of the perceived status of job and job holder, in inflammation is unknown. To contribute to understanding the pathways by which socioeconomic position (SEP) is associated with inflammation, we aimed to estimate the direct effects of education, income and occupational prestige on C-reactive protein (CRP) and to describe the relationship between these markers and CRP. Methods: The study was based on 2026 post-menopausal women enrolled in the Women's Health Initiative-Observational Study...
December 1, 2017: European Journal of Public Health
https://www.readbyqxmd.com/read/29184905/frequency-of-in-home-internet-use-among-prekidney-and-postkidney-transplant-patients-facilitators-and-barriers-to-use-and-trends-over-time
#9
Mark B Lockwood, Karen Dunn-Lopez, Larisa Burke, Yolanda T Becker, Milda Saunders
Background: As health-related communications become digitized, strategies to increase adoption of these Web-based platforms are needed. The purpose of this study was to assess facilitators and barriers to in-home Internet use among prekidney and postkidney transplant patients. Methods: A single center, cross-sectional survey of 240 consecutive patients of all levels of technological proficiency who presented to an urban transplant center in the United States. The Patient Information and Technology Assessment consists of 6 demographic questions, 3 disease-related questions, and 8 technology-related questions...
November 2017: Transplantation Direct
https://www.readbyqxmd.com/read/29174946/fluoxetine-not-donepezil-reverses-anhedonia-cognitive-dysfunctions-and-hippocampal-proteome-changes-during-repeated-social-defeat-exposure
#10
M G Gottschalk, P Mortas, M Haman, S Ozcan, B Biemans, S Bahn
While anhedonia is considered a core symptom of major depressive disorder (MDD), less attention has been paid to cognitive dysfunctions. We evaluated the behavioural and molecular effects of a selective serotonin re-uptake inhibitor (SSRI, fluoxetine) and an acetylcholinesterase inhibitor (AChEI, donepezil) on emotional-cognitive endophenotypes of depression and the hippocampal proteome. A chronic social defeat (SD) procedure was followed up by "reminder" sessions of direct and indirect SD. Anhedonia-related behaviour was assessed longitudinally by intracranial self-stimulation (ICSS)...
November 23, 2017: European Neuropsychopharmacology: the Journal of the European College of Neuropsychopharmacology
https://www.readbyqxmd.com/read/29165084/advances-on-automatic-speech-analysis-for-early-detection-of-alzheimer-disease-a-non-linear-multi-task-approach
#11
K Lopez-de-Ipina, U Martinez-de-Lizarduy, P M Calvo, Jiri Mekyska, B Beitia, N Barroso, A Estanga, M Tainta, M Ecay-Torres
Nowadays proper detection of cognitive impairment has become a challenge for the scientific community. Alzheimer's Disease (AD), the most common cause of dementia, has a high prevalence that is increasing at a fast pace towards epidemic level. In the not-so-distant future this fact could have a dramatic social and economic impact. In this scenario, an early and accurate diagnosis of AD could help to decrease its effects on patients, relatives and society. Over the last decades there have been useful advances not only in classic assessment techniques, but also in novel non-invasive screening methodologies...
November 20, 2017: Current Alzheimer Research
https://www.readbyqxmd.com/read/29154409/sensitive-topics-missing-data-and-refusal-in-social-network-studies-an-ethical-examination
#12
Erin Rose Ellison, Regina Day Langhout
We describe our ethics-driven process of addressing missing data within a social network study about accountability for racism, classism, sexism, heterosexism, cis-sexism, ableism, and other forms of oppression among social justice union organizers. During data collection, some would-be participants did not return emails and others explicitly refused to engage in the research. All refusals came from women of color. We faced an ethical dilemma: Should we continue to seek participation from those who had not yet responded, with the hopes of recruiting more women of color from within the network so their perspectives would not be tokenized? Or, should we stop asking those who had been contacted multiple times, which would compromise the social network data and analysis? We delineate ways in which current discussions of the ethics of social network studies fell short, given our framework and our community psychology (CP) values...
November 20, 2017: American Journal of Community Psychology
https://www.readbyqxmd.com/read/29154005/levers-supporting-tariff-growth-for-water-services-evidence-from-a-contingent-valuation-analysis
#13
Andrea Guerrini, Vania Vigolo, Giulia Romano, Federico Testa
The backwardness of the water utilities sector necessitates urgent investment in infrastructure to improve water quality and efficiency in water supply networks. A policy of tariff growth represents the main source to sustain such investments. Therefore, customer engagement in the form of willingness to pay (WTP) is highly desirable by water utilities to obtain social legitimization and support. This study examines the determinants of consumers' WTP for improvement programs for three drinking water issues: quality of water sources, renewal of water mains, and building of new wastewater treatment plants...
November 15, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/29151574/machine-learning-meets-complex-networks-via-coalescent-embedding-in-the-hyperbolic-space
#14
Alessandro Muscoloni, Josephine Maria Thomas, Sara Ciucci, Ginestra Bianconi, Carlo Vittorio Cannistraci
Physicists recently observed that realistic complex networks emerge as discrete samples from a continuous hyperbolic geometry enclosed in a circle: the radius represents the node centrality and the angular displacement between two nodes resembles their topological proximity. The hyperbolic circle aims to become a universal space of representation and analysis of many real networks. Yet, inferring the angular coordinates to map a real network back to its latent geometry remains a challenging inverse problem...
November 20, 2017: Nature Communications
https://www.readbyqxmd.com/read/29129006/preferences-for-depression-help-seeking-among-vietnamese-american-adults
#15
Jin E Kim-Mozeleski, Janice Y Tsoh, Ginny Gildengorin, Lien H Cao, Tiffany Ho, Sarita Kohli, Hy Lam, Ching Wong, Susan Stewart, Stephen J McPhee, Tung T Nguyen
Culture impacts help-seeking preferences. We examined Vietnamese Americans' help-seeking preferences for depressive symptoms, through a telephone survey (N = 1666). A vignette describing an age- and gender-matched individual with depression was presented, and respondents chose from a list of options and provided open-ended responses about their help-seeking preferences. Results showed that 78.3% would seek professional help, either from a family doctor, a mental health provider, or both; 54.4% preferred to seek help from a family doctor but not from a mental health provider...
November 11, 2017: Community Mental Health Journal
https://www.readbyqxmd.com/read/29119693/the-neural-representation-of-social-status-in-the-extended-face-processing-network
#16
Jessica E Koski, Jessica A Collins, Ingrid R Olson
Social status is a salient cue that shapes our judgment and memory for other people and ultimately guides our social interactions. Despite the pervasive influence of status on social behavior, how information about the status of others is represented in the brain remains unclear. Here, we tested the hypothesis that social-status information is embedded in our neural representations of other individuals. Participants learned to associate faces with names, job titles that that varied in associated status, and explicit markers of reputational status (star ratings)...
November 9, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/29119547/interventions-to-improve-access-to-cataract-surgical-services-and-their-impact-on-equity-in-low-and-middle-income-countries
#17
REVIEW
Jacqueline Ramke, Jennifer Petkovic, Vivian Welch, Ilse Blignault, Clare Gilbert, Karl Blanchet, Robin Christensen, Anthony B Zwi, Peter Tugwell
BACKGROUND: Cataract is the leading cause of blindness in low- and middle-income countries (LMICs), and the prevalence is inequitably distributed between and within countries. Interventions have been undertaken to improve cataract surgical services, however, the effectiveness of these interventions on promoting equity is not known. OBJECTIVES: To assess the effects on equity of interventions to improve access to cataract services for populations with cataract blindness (and visual impairment) in LMICs...
November 9, 2017: Cochrane Database of Systematic Reviews
https://www.readbyqxmd.com/read/29096148/power-structure-among-the-actors-of-financial-support-to-the-poor-to-access-health-services-social-network-analysis-approach
#18
Manal Etemadi, Hasan Abolghasem Gorji, Hannaneh Mohammadi Kangarani, Kioomars Ashtarian
The extent of universal health coverage in terms of financial protection is worrisome in Iran. There are challenges in health policies to guarantee financial accessibility to health services, especially for poor people. Various institutions offer support to ensure that the poor have financial access to health services. The aim of this study is to investigate the relationship network among the institutions active in this field. This study is a policy document analysis. It evaluates the country's legal documents in the field of financial support to the poor for healthcare after the Islamic Revolution in Iran...
October 30, 2017: Social Science & Medicine
https://www.readbyqxmd.com/read/29084280/maximum-entropy-methods-for-extracting-the-learned-features-of-deep-neural-networks
#19
Alex Finnegan, Jun S Song
New architectures of multilayer artificial neural networks and new methods for training them are rapidly revolutionizing the application of machine learning in diverse fields, including business, social science, physical sciences, and biology. Interpreting deep neural networks, however, currently remains elusive, and a critical challenge lies in understanding which meaningful features a network is actually learning. We present a general method for interpreting deep neural networks and extracting network-learned features from input data...
October 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/29067872/selective-neural-sensitivity-to-familial-threat-in-adolescents-with-weak-family-bonds
#20
Paul B Sharp, Wendy Heller, Eva H Telzer
Familial stressors, such as weak familial connectedness, are associated with the development of maladaptive threat processing, yet little is known regarding how weak familial bonds impinge on biological mechanisms of threat processing. The present study leveraged multivoxel pattern analysis of fMRI data to compare the neural encoding of familial and nonfamilial threatening and non-threatening stimuli in adolescents who endorsed varying levels of connectedness to their families. Adolescents (N=22, Mage= 14.38 years) reporting lower family connectedness one year earlier showed elevated sensitivity to familial threat, but not to nonfamilial threat in a neural network associated with threat processing, comprising left and right amygdala, and right inferior and middle temporal gyri...
October 25, 2017: Social Neuroscience
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