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Temporal Variation of Terms as Concept Space for Early Risk Prediction

Marcelo Luis Errecalde, Maria Paula Villegas, Darío Gustavo Funez, Maria José Garciarena Ucelay, Leticia Cecilia Cagnina
2017 Conference and Labs of the Evaluation Forum  
dblp:conf/clef/ErrecaldeVFUC17 fatcat:ngfejucuujghjk67o6xd646b2y

eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations [chapter]

David E. Losada, Fabio Crestani, Javier Parapar
2017 Lecture Notes in Computer Science  
The main purpose of eRisk was to explore issues of evaluation methodology, effectiveness metrics and other processes related to early risk detection.  ...  The first edition of eRisk had two possible ways to participate: a pilot task on early risk detection of depression, and a workshop open to the submission of papers related to the topics of the lab.  ...  Acknowledgements We thank the support obtained from the Swiss National Science Foundation (SNSF) under the project "Early risk prediction on the Internet: an evaluation corpus", 2015.  ... 
doi:10.1007/978-3-319-65813-1_30 fatcat:avplzieyb5crjhy2vbibbh32yi

Integrating the concepts of foresight and prediction for improved disaster risk management

Christoph Aubrecht, Sérgio Freire, Josef Fröhlich, Beatrice Rath, Klaus Steinnocher
2011 International Conference on Information Systems for Crisis Response and Management  
Active and transparent communication and participation is seen as the key for successfully implementing risk governance.  ...  Finally, the basic framework of risk governance is considered for integrating foresight and prediction and thus lifting disaster management to the next level.  ...  Risk analysis as an integral part of disaster management is composed of hazard and vulnerability assessment. Both aspects are highly sensitive to spatial and temporal variation.  ... 
dblp:conf/iscram/AubrechtFFRS11 fatcat:to67dpplt5hxjbpiblamrfhqmi

Progress towards an interdisciplinary science of plant phenology: building predictions across space, time and species diversity

Elizabeth M. Wolkovich, Benjamin I. Cook, T. Jonathan Davies
2013 New Phytologist  
Recent interdisciplinary efforts, building on data covering diverse species and climate space, have found a greater role of temperature in controlling phenology at higher latitudes and for early-flowering  ...  promise for further progress.  ...  O'Connor and three anonymous reviewers for help in improving this manuscript.  ... 
doi:10.1111/nph.12599 pmid:24649487 fatcat:ltjzhdfk2vdrzdrb6injbuivqq

UNSL's participation at eRisk 2018 Lab

Dario G. Funez, Maria José Garciarena Ucelay, Maria Paula Villegas, Sergio Burdisso, Leticia C. Cagnina, Manuel Montes-y-Gómez, Marcelo Errecalde
2018 Conference and Labs of the Evaluation Forum  
Two completely different approaches were used, that we will refer as flexible temporal variation of terms (FTVT) and sequential incremental classification (SIC).  ...  The main goal of this Lab is considering early risk detection scenarios where the issue of getting timely predictions with a reasonable confidence level becomes critical.  ...  of Terms (FTVT) is an improvement of the temporal variation of terms (TVT) method [1] , an approach for early risk detection that uses the temporal variation of terms between chunks as concept space  ... 
dblp:conf/clef/FunezUVBCME18 fatcat:5qglrvplxbefnod2u52sglk2s4

The problem of scale in the prediction and management of pathogen spillover

Daniel J. Becker, Alex D. Washburne, Christina L. Faust, Erin A. Mordecai, Raina K. Plowright
2019 Philosophical Transactions of the Royal Society of London. Biological Sciences  
phylogenetic, spatial and temporal scales of prediction.  ...  and vastness of data potentially required for forecasting.  ...  The views, opinions and/or findings expressed are those of the authors and should not be interpreted as representing the official views or policies of the Department of Defense or the US Government.  ... 
doi:10.1098/rstb.2019.0224 pmid:31401958 pmcid:PMC6711304 fatcat:gxdcq4rjm5hgvfbfpnpgfgdioq

Landscape epidemiology: An emerging perspective in the mapping and modelling of disease and disease risk factors

Nnadi Nnaemeka Emmanuel, Nimzing Loha, Mark Ojogba Okolo, Onyedibe Kenneth Ikenna
2011 Asian Pacific Journal of Tropical Disease  
The current review describes the evolution of landscape epidemiology. As a science, it also highlights the various methods of mapping and modeling diseases and disease risk factors.  ...  The key tool to characterize landscape is satellite remote sensing and these data are used as inputs to drive spatial models of transmission risk.  ...  Pavlovsky's historical concept of landscape epidemiology consists of three basic observations: first, diseases tend to be limited geographically; second, this spatial variation arises from underlying variations  ... 
doi:10.1016/s2222-1808(11)60041-8 fatcat:azjzaaajufdfxchpq6hrvwc7uq

Strategy for Disease Diagnosis, Progression Prediction, Risk Group Stratification and Treatment—Case of COVID-19

Mauno Vihinen
2020 Frontiers in Medicine  
Evidence-based thresholds can be applied to the pathogenicity model and used for diagnosis as well as for early detection of patients in risk of developing the most severe forms of the disease.  ...  A novel strategy is presented for reliable diagnosis and progression prediction of diseases with special attention to COVID-19 pandemic.  ...  Even extended longitudinal data will be beneficial for detecting long-term follow up and prediction of cases at the risk of harmful sequelae.  ... 
doi:10.3389/fmed.2020.00294 pmid:32613004 pmcid:PMC7308420 fatcat:igilfcaekvgy7dvtfz2plrfb5i

Geological disposal of nuclear waste: II. From laboratory data to the safety analysis – Addressing societal concerns

Bernd Grambow, Sophie Bretesché
2014 Applied Geochemistry  
Safety analyses have demonstrated that the risk, as measured by exposure to radiation, will be of little consequence.  ...  Safety analysis is treated in its social and temporal dimensions. This perspective provides new insights into the societal dimension of scenarios and risk analysis.  ...  Ewing and an unknown reviewer for careful and critical reviews of this paper.  ... 
doi:10.1016/j.apgeochem.2014.05.015 fatcat:nmch77pvofee5e24okc6tbeeua

Predicting the Risk Genes of Autism Spectrum Disorders

Yenching Lin, Srinivasulu Yerukala Sathipati, Shinn-Ying Ho
2021 Frontiers in Genetics  
The top identified temporospatial regions of the brain for risk gene prediction included the posteroventral parietal cortex at 13 post-conception weeks feature.  ...  ASD-Risk used an optimal feature selection algorithm called inheritable bi-objective combinatorial genetic algorithm to identify the brain temporospatial regions for prediction of the risk genes of ASD  ...  Hence, prediction methods are necessary to identify multiple genetic markers that provide useful information for early stage detection and ASD diagnosis.  ... 
doi:10.3389/fgene.2021.665469 fatcat:xr4q4pndtfb4nnswjyodbyxlea

Life-history syndromes: Integrating dispersal through space and time

Mathieu Buoro, Stephanie M. Carlson, Jean Clobert
2014 Ecology Letters  
for improved ability to predict dispersal by considering suites of dispersal-related traits.  ...  We reviewed the literature that has simultaneously investigated spatial and temporal dispersal to examine the prediction that traits of these two dispersal strategies are negatively correlated.  ...  Quinn for early discussions that piqued the authors' interest in this topic. This manuscript benefited from constructive comments from M. Bogan, J. Clobert, O. Eriksson, A. Hendry, V. Lehouck, F.  ... 
doi:10.1111/ele.12275 pmid:24690406 fatcat:2crsunatwbdhhfixxlqrgncism

Landscapes of Fear: Spatial Patterns of Risk Perception and Response

Kaitlyn M. Gaynor, Joel S. Brown, Arthur D. Middleton, Mary E. Power, Justin S. Brashares
2019 Trends in Ecology & Evolution  
The concept of the landscape of fear has recently become central to describing this spatial variation in risk, perception, and response.  ...  We present a framework linking the landscape of fear, defined as spatial variation in prey perception of risk, to the underlying physical landscape and predation risk, and to resulting patterns of prey  ...  Studies should account for this temporal variation by framing the question of interest.  ... 
doi:10.1016/j.tree.2019.01.004 fatcat:wousjzn3jzfdzjcvfa5pjo5oli

A spatial time-to-event approach for estimating associations between air pollution and preterm birth

Howard H. Chang, Brian J. Reich, Marie Lynn Miranda
2012 Journal of the Royal Statistical Society, Series C: Applied Statistics  
The paper describes a Bayesian spatial discrete time survival model to estimate the effect of air pollution on the risk of preterm birth.  ...  Time varying exposures can arise either in short-term lagged exposures due to seasonality in air pollution or long-term cumulative exposures due to changes in length of exposure.  ...  For example, this does not allow for some regions to have elevated risk very early in pregnancy but low risk late in the pregnancy.  ... 
doi:10.1111/j.1467-9876.2012.01056.x pmid:24353351 pmcid:PMC3864864 fatcat:vpoqnfrltvextavuvuoyx3npjq

Early warning systems (EWSs) for chikungunya, dengue, malaria, yellow fever, and Zika outbreaks: What is the evidence? A scoping review

Laith Hussain-Alkhateeb, Tatiana Rivera Ramírez, Axel Kroeger, Ernesto Gozzer, Silvia Runge-Ranzinger, Kate Zinszer
2021 PLoS Neglected Tropical Diseases  
While some advanced EWS showed high prediction abilities, the scarcity of tool assessments in terms of integration into existing national surveillance systems as well as of the feasibility of transforming  ...  Early warning systems (EWSs) are of increasing importance in the context of outbreak-prone diseases such as chikungunya, dengue, malaria, yellow fever, and Zika.  ...  The terms "early warning," "forecasting," and "prediction" have been probed in a pilot search as Medical Subject Headings (MeSH) terms and as free-text terms.  ... 
doi:10.1371/journal.pntd.0009686 pmid:34529649 pmcid:PMC8445439 fatcat:qywapuh6mnallfdq2egevawuzq

Investigation of nuclear nano-morphology marker as a biomarker for cancer risk assessment using a mouse model

Rajan K. Bista
2012 Journal of Biomedical Optics  
Therefore, our proof-of-concept study establishes the feasibility of the SL-QPM derived nuclear nano-morphology marker OPL as a promising, simple and clinically applicable biomarker for cancer risk assessment  ...  The development of accurate and clinically applicable tools to assess cancer risk is essential to define candidates to undergo screening for early-stage cancers at a curable stage or provide a novel method  ...  Coulter foundation and University of Pittsburgh Medical Center for supporting this research. The authors appreciate the help from Kevin Staton in sample preparation.  ... 
doi:10.1117/1.jbo.17.6.066014 pmid:22734770 pmcid:PMC3382352 fatcat:r357avplbzbrblvawsklhtc4g4
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