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4,871 results for “Symptom”
The impact of a heat and moisture exchange mask on respiratory symptoms and airway response to exercise in asthma
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Supplemental Materials Eikelboom et al. Neuropsychiatric and cognitive symptoms across the Alzheimer's disease clinical spectrum
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Patient-reported outcomes via electronic health record portal vs. telephone: process and retention data in a pilot trial of anxiety or depression symptoms in epilepsy
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Dietary ketosis improves circadian dysfunction as well as motor symptoms in the BACHD mouse model of Huntington’s disease
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Data from: Consecutive treatments of methamphetamine promote the development of cardiac pathological symptoms in zebrafish
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Data from: The "Dr Jekyll and Mr Hyde fungus": noble rot versus gray mold symptoms of Botrytis cinerea on grapes
Many cryptic species have recently been discovered in fungi, especially in fungal plant pathogens. Cryptic fungal species co-occurring in sympatry may occupy slightly different ecological niches, for example infecting the same crop plant but specialized on different organs or having different phenologies. Identifying cryptic species in fungal pathogens of crops and determining their ecological specialization is therefore crucial for disease management. Here we addressed this question in the ascomycete Botrytis cinerea, the agent of grey mold on a wide range of plants. On grape, B. cinerea causes severe damages but is also responsible for noble rot used for processing sweet wines. We used microsatellite genotyping and clustering methods to elucidate whether isolates sampled on grey mold vs. noble rot symptoms in three French regions belong to genetically differentiated populations. The inferred population structure matched geography rather than the type of symptom. Noble rot symptoms therefore do not seem caused by a specific B. cinerea population but instead seem to depend essentially on microclimatic conditions, which has applied consequences for the production of sweet wines.
Data from: Prevalence and severity of asthmatic symptoms in Grenadian school children: the Grenada National Asthma Survey
Objective: The goal of this study was to determine the prevalence of asthma in school children in the tri-island Caribbean nation of Grenada. Setting, participants and outcomes: This was a self-report study provided to the guardians of all primary school children between ages 6 and 7 throughout Grenada, Carriacou and Petite Martinique in 2013. Of the 2362 surveys provided, 1374 were returned, resulting in a response rate of 58.2%. Only responders listing birthdays between 1 January 2006 and 31 December 2007 were included in the analysis, resulting in 1165 qualifying responders. Asthma diagnosis was based on previous physician diagnosed asthma and/or self-reported presence of wheeze in the past 12 months (current wheeze). Severity of asthma, medication usage, environmental exposures, physician and emergency department visits were compared among respondents. Results: The prevalence of wheezing in the past year was 30.5±1.8%, and of these 68.4% were previously diagnosed with asthma. Of the current wheeze participants, 39.9±9.2% reported moderate to severe asthma symptoms and increased exposure to cigarette smoke, excessive dust, burning brush and landfills. Carriacou and Petite Martinique, the two smaller islands, had a lower incidence of current wheeze (14.1±7.7%) and exposure rates to cigarette smoke and burning brush as compared to the larger, denser island of Grenada. Although 65.7% of respondents diagnosed with asthma reported taking medication, the number of annual doctor and emergency department visits were high (2.82 and 0.86, respectively). Respondents with the most severe asthma symptoms reported the most emergency department visits with an average of 1.05 visits annually, whereas respondents with moderate asthma symptoms had the most doctor visits with an average of 3.33 visits annually. Conclusions: This study indicates that the prevalence of childhood asthma in Grenada is very high and warrants policy consideration in public health and education to decrease its morbidity.
Data from: Asthma-like symptoms in homeless children in the Greater Paris area in 2013: prevalence, associated factors and utilization of healthcare services in the ENFAMS survey
Asthma remains poorly studied in homeless children. We sought to estimate the prevalence of asthma-like symptoms (ALS) and to identify the factors associated with ALS and healthcare service utilisation. Materials and Methods: A cross-sectional survey of a random sample of sheltered homeless families was conducted by interviewing 801 parents of children (0–12 years) in 17 languages. ALS were defined as wheezing or night cough without fever during the previous year. Poisson regression models with robust error variance were used to compute prevalence ratios (PR) for factors associated with ALS and healthcare service utilisation for ALS. Results: The prevalence of ALS among the children was 19.9%. Poor housing sanitation was significantly associated with ALS, as being born in the European Union. Most of the children with ALS had used healthcare services (85.4%). The main barriers to accessing such services were having lived in France for less than 49 months, having difficulties in French and living in poor housing conditions. Conclusion: ALS prevalence seemed lower than in the general child population, possibly because of the children's origins. Environmental factors associated with ALS point to the need to improve the indoor environment of family shelters. The relatively high rate of healthcare service utilisation should not overshadow existing barriers.
Adult picky eaters with symptoms of Avoidant/Restrictive Food Intake Disorder: Comparable distress and comorbidity but different eating behaviors compared to those with disordered eating symptoms
<p>Picky eaters are people who avoid many new and familiar foods because they dislike the taste, smell, texture, or appearance of many foods. When it is severe, picky eating can lead to weight loss or difficulty maintaining a healthy weight, nutritional deficiencies, dependence on supplements to get adequate nutrition or calories, or shame, anxiety, or difficulty engaging in daily life. When severe picky eating leads to these consequences, it can be diagnosed as Avoidant/Restrictive Food Intake Disorder (ARFID). People who restrict the amount of food they consume (or engage in exercise, purging, or fasting behaviors to get rid of calories after eating) because they are afraid of gaining weight or being fat are diagnosed with anorexia or bulimia when their eating leads to weight loss, nutritional problems, or interferes with life. ARFID is a new diagnosis, and in this paper, we show that 1) adults with ARFID symptoms are just as distressed, and just as likely to have symptoms of depression, anxiety, and obsessive compulsive disorder, as those with anorexia or bulimia, but that 2) adults with ARFID show very different types of eating behavior from adults with symptoms of anorexia or bulimia.</p>
Dataset for the analysis of the association of atopic dermatitis(AD) symptom with air pollution and weather
<p>This dataset includes atopic dermatitis(AD) symptom, air pollution, weather data on a daily bases. The dataset was made for the analyses of the association of AD symptom in children with air pollution and weather. 177 AD patients <6 years old from the Seoul Metropolitan Area in Korea were enrolled and followed for 17 months between August 2013 and December 2014.</p> <p>Definition of symptom presence: Parents or guardians were instructed to record the extent of itching, sleep disturbance, erythema, dryness, oozing, and edema on a scale of 0 to 4 by using smartphone-adjusted symptom diary. The presence of AD symptoms was determined when a symptom score was 2 points or more for both itching and sleep disturbance scores, accompanied by at least 2 points of the sum of the following symptoms: erythema, dryness, edema, or oozing. </p>
Posttraumatic stress symptoms and posttraumatic growth. The mediating role of cognitive coping
<p>The aim of the present study is to identify the relation between posttraumatic stress symptoms and posttraumatic growth, as well as the mediating role of cognitive coping in this relation. A sample of 212 adults that reported the experience of a traumatic life events involving death or the threat of death, severe injury, or sexual violence in the last three years were included in the present study (<i>M</i>age = 33.33; <i>SD</i> = 10.99). The participants completed scales for measuring posttraumatic stress symptoms, posttraumatic growth, and cognitive coping. The results showed that the functional and dysfunctional coping strategies are related to posttraumatic growth and mediate the relationship between the posttraumatic stress symptomatology and the posttraumatic growth. Particularly, our results indicate that the relations between PTSD symptoms and PTG is mediated by self-blame and positive reappraisal. In order to facilitate positive posttraumatic outcomes and posttraumatic growth processes, intervention should be focusing on increasing positive reappraisal and decreasing self-blame. </p>
Awareness of Lung Cancer Risk Factors and Symptoms in Syria: An Online Cross-Sectional Study
<p><strong>Background:</strong> Globally, lung cancer is the leading cause of cancer fatalities and the second most frequent cancer. Population knowledge of the features of lung cancer is a crucial strategy for early diagnosis and decreasing the mortality rate of lung cancer patients. In this study, we aim to assess the Syrian population's knowledge of lung cancer and its risk factors and to measure awareness of symptoms related to lung cancer. <strong>Methods:</strong> This national cross-sectional study was conducted between October 12 to November 21, 2022 in Syria. We included Syrian people above 18 years from all Syrian governorates. The questionnaire consisted of three categories of questions: sociodemographic information, awareness of lung cancer symptoms, and awareness of lung cancer risk factors. <strong>Results:</strong> Overall, 2251 participants were involved in this research; almost half of them (47.3%) were aged between 21-30 years, and 30.9% indicated they are smoking cigarettes. The overall mean score of knowledge regarding closed questions about risk factors of lung cancer was 4.29; however, the mean score of knowledge regarding open questions about symptoms of lung cancer was 1.52. About half of the study sample (51.3%) indicated that unexplained weight loss is a possible symptom of lung cancer. Our findings showed that cigarette smokers have a lower probability of having adequate knowledge toward lung cancer risk factors than a non-smoker (AOR=0.73, COR=0.68, P-value<0.05). We also defined that females have higher statistically significant odds (AOR=1.3, COR=1.38, P-value<0.05) for being knowledgeable about the symptoms of lung cancer compared to the male sample study. Conclusion: According to our findings, there is inadequate knowledge toward lung cancer risk factors and moderate knowledge of lung cancer symptoms. Along with educational programs to raise public knowledge of the dangers of smoking and other LC risk factors, effective tobacco control policy execution is crucial. </p>
SympTEMIST Corpus: Gold Standard annotations for clinical symptoms, signs and findings information extraction
<p><strong>SympTEMIST</strong> stands for Symptoms TExt MIning Shared Task. It is a shared task and set of resources focused on the <strong>detection of mentions, normalization and indexing of symptoms, signs and findings in medical documents</strong> in <strong>Spanish</strong>. SympTEMIST is complementary to the DisTEMIST (https://temu.bsc.es/distemist) and MedProcNER/ProcTEMIST (https://temu.bsc.es/medprocner) corpora as they all use the same document collection.</p> <p> </p> <p><strong>Please cite if you use this dataset:</strong></p> <p>"Lima-López, S., Farré-Maduell, E., Gasco-Sánchez, L., Rodríguez-Miret, J. and Krallinger, M. (2023). Overview of SympTEMIST at BioCreative VIII: corpus, guidelines and evaluation of systems for the detection and normalization of symptoms, signs and findings from text. In: <em>Proceedings of the BioCreative VIII Challenge and Workshop: Curation and Evaluation in the era of Generative Models</em>."</p> <p> </p> <p>This repository includes the:</p> <ul> <li><strong>Train </strong>and<strong> Test Set </strong>for the three subtasks</li> <li><strong>SYMPTEMIST gazetteer </strong>of <strong>SNOMED symptoms, signs & findings </strong></li> <li><strong>Multilingual </strong>Silver Standard<strong> </strong>in <strong>9 languages:</strong> <ul> <li><em><strong>English</strong></em></li> <li><em><strong>Portuguese</strong></em></li> <li><em><strong>French</strong></em></li> <li><em><strong>Italian</strong></em></li> <li><em><strong>Romanian</strong></em></li> <li><em><strong>Catalan</strong></em></li> <li><em><strong>Swedish</strong></em></li> <li><em><strong>Dutch</strong></em></li> <li><em><strong>Czech</strong></em></li> </ul> </li> <li><strong>Background set</strong> of over 15,000 clinical cases.</li> <li><strong>Spanish</strong> Silver Standard (predictions by participants over the background set)</li> </ul> <p> </p> <p>Please read the README file attached for more information on folder structure and file format.</p> <p> </p> <p>SympTEMIST was developed by the Barcelona Supercomputing Center's NLP for Biomedical Information Analysis and used as part of BioCREATIVE 2023. For more information on the corpus, annotation scheme and task in general, please visit: https://temu.bsc.es/symptemist.</p> <p> </p> <p><strong>Resources:</strong></p> <ul> <li><a href="https://temu.bsc.es/symptemist/"><strong>Task web</strong></a></li> <li><a href="https://biocreative.bioinformatics.udel.edu/"><strong>BioCreative web</strong></a></li> <li><strong>Citation: </strong>Lima-López, S., Farré-Maduell, E., Gasco-Sánchez, L., Rodríguez-Miret, J. and Krallinger, M. (2023). Overview of SympTEMIST at BioCreative VIII: corpus, guidelines and evaluation of systems for the detection and normalization of symptoms, signs and findings from text. In: <em>Proceedings of the BioCreative VIII Challenge and Workshop: Curation and Evaluation in the era of Generative Models</em>.</li> <li><a href="../records/8246440"><strong>Annotation guidelines</strong></a></li> <li><a href="../records/10103191"><strong>BioCreative/AMIA workshop proceedings</strong></a></li> <li><a href="../doi/10.5281/zenodo.10104546"><strong>Overview paper</strong></a></li> <li><a href="https://www.youtube.com/playlist?list=PLyLDDulunoofv79Pci0-y2rGP5GOBoZhp"><strong>Youtube videos (overview & teams)</strong></a></li> <li><a href="https://www.slideshare.net/MartinKrallinger/symptemist-shared-task-on-symptoms-signs-and-findings-detection-and-normalization-task-overview-talk-at-biocreative-viii-workshop-amia-2023"><strong>SympTEMIST overview talk slides at BioCreative/AMIA workshop</strong></a></li> </ul> <p> </p> <p><strong>License</strong></p> <p>This work is licensed under a <a href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.</p> <p><strong>Contact</strong></p> <p>If you have any questions or suggestions, please contact us at:</p> <p>- Salvador Lima-López (<salvador [dot] limalopez [at] gmail [dot] com>)<br>- Martin Krallinger (<krallinger [dot] martin [at] gmail [dot] com>)</p> <p><strong>Additional resources and corpora</strong></p> <p>If you are interested in SympTEMIST, you might want to check out these corpora and resources:</p> <ul> <li><a href="../records/7614764">DisTEMIST</a> (Corpus of disease mentions and normalization to SNOMED CT, same document collection)</li> <li><a href="../records/8224056">MedProcNER </a>(Corpus of clinical procedure mentions and normalization to SNOMED CT, same document collection)</li> <li><a href="../records/4270158">PharmaCoNER</a> (Corpus of medications, drugs, chemical substances, genes, proteins and vaccine mentions and normalization, same document collection)</li> <li><a href="../records/7116201">MEDDOPROF</a> (Corpus of mentions of professions, occupations and working status and normalization, different document collection with some overlapping documents)</li> <li><a href="../records/8403498">MEDDOPLACE</a> (Corpus of mentions of place-related entity mentions, including departments, nationalities or patient movements etc.. and normalization, different document collection with some overlapping documents)</li> <li><a href="../records/4279323">MEDDOCAN</a> (Corpus of mentions of Personal Health Identifiers (PHI), modified synthetic verions of the document collection)</li> <li><a href="../records/3978041">CANTEMIST</a> (Corpus of cancer tumor morphology mentions and normalization, different document collection)</li> <li><a href="../records/3837305">CodiESp</a> (Corpus of clinical case reportes with assigned clinical codes from ICD10, Spanish version, same document collection)</li> <li><a href="../records/7684093">LivingNER</a> (Corpus of mentions of species, including human/family members, pathogens, food, etc.. and normalization to NCBI Taxonomy, different document collection with some overlapping documents)</li> <li><a href="../records/2560344">SPACCC-POS</a> (Corpus of clinical case reports in Spanish annotated with POS-tags, same document collection)</li> <li><a href="../records/2560338">SPACCC-TOKEN</a> (Corpus of clinical case reports in Spanish annotated with token-tags (word mention boundaries), same document collection)</li> <li><a href="../records/2560338">SPACCC-SPLIT</a> (Corpus of clinical case reports in Spanish annotated with sentence boundary-tags, same document collection)</li> <li><a href="../records/5602914">MESINESP-2</a> (Corpus of manually indexed records with DeCS /MeSH terms comprising scientific literature abstracts, clinical trials, and patent abstracts, different document collection)</li> </ul> <p> </p>
A digital phenotyping dataset for impending panic symptoms: a prospective longitudinal study
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A digital phenotyping dataset for impending panic symptoms: a prospective longitudinal study
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COVID-19 symptoms over time, Israel
<p>COVID-19 symptoms over time in Israel on a daily basis for people who tested positive. This dataset was made by processing a larger dataset of symptoms reported to testing centers for only COVID-19 positive testing patients. The dataset has been organized on a daily basis. </p>
Data from: Dispersion of SARS-CoV-2 in air surrounding COVID-19 infected individuals with mild symptoms
<p><span>Since the beginning of the pandemic, the transmission modes of SARS-CoV-2—particularly the role of aerosol transmission—has been much debated. Accumulating evidence suggests that SARS-CoV-2 can be transmitted by aerosols, and not only via larger respiratory droplets. In this study, we quantified SARS-CoV-2 in air surrounding 14 test subjects in a controlled setting. All subjects had SARS-CoV-2 infection confirmed by a recent positive PCR test and had mild symptoms when included in the study. RT-PCR and cell culture analyses were performed on air samples collected at distances of one, two, and four meters from test subjects. Oronasopharyngeal samples were taken from consenting test subjects and analyzed by RT-PCR. Additionally, total aerosol particles were quantified during air sampling trials. Air viral concentrations at one-meter distance were significantly correlated with both viral loads in the upper airways, mild coughing, and fever. One sample collected at four-meter distance was RT-PCR positive. No samples were successfully cultured. The results reported here have potential application for SARS-CoV-2 detection and monitoring schemes, and for increasing our understanding of SARS-CoV-2 transmission dynamics.</span></p>
In 2017, Plantix, a free smartphone app that helps identify plant damage, was introduced to the Indian state of Andhra Pradesh, with an extension partner. Plantix was created by Progressive Environmental and Agricultural Technologies (PEAT), a German startup. Two PEAT cofounders, Charlotte Schuman (second from the right) and Alex Kennepohl (center, with eyeglasses), confer about the smartphone app with students from Angrau University. Farmers and gardeners can transmit their plant images to Plantix, which uses deep learning and computer vision to help identify diseases and pests. The smartphone app offers symptom descriptions, treatment recommendations, and potential preventive actions. Photographs: Courtesy of PEAT GmbH. in Deep learning brings speed, accuracy to the life sciences.
In 2017, Plantix, a free smartphone app that helps identify plant damage, was introduced to the Indian state of Andhra Pradesh, with an extension partner. Plantix was created by Progressive Environmental and Agricultural Technologies (PEAT), a German startup. Two PEAT cofounders, Charlotte Schuman (second from the right) and Alex Kennepohl (center, with eyeglasses), confer about the smartphone app with students from Angrau University. Farmers and gardeners can transmit their plant images to Plantix, which uses deep learning and computer vision to help identify diseases and pests. The smartphone app offers symptom descriptions, treatment recommendations, and potential preventive actions. Photographs: Courtesy of PEAT GmbH.
St. Jude Lifetime Study Cohort dataset for multilevel characteristics of cumulative symptom burden in young survivors of childhood cancer
<p>The dataset contains variables from the St. Jude Lifetime Cohort Study used in the study of multilevel characteristics of cumulative symptom burden in young survivors of childhood cancer in Horan et al., 2024 (DOI:<a href="https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2818384" target="_blank" rel="noopener">10.1001/jamanetworkopen.2024.10145</a>). </p> <p><strong>When using downloaded data, please cite corresponding paper and this repository:</strong></p> <ol> <li>Horan MR, Srivastava DK, Choi J, et al. Multilevel characteristics of cumulative symptom burden in young survivors of childhood cancer. <em>JAMA Netw Open.</em> 2024;7(5):e2410145. doi:10.1001/jamanetworkopen.2024.10145</li> <li>Horan MR, Srivastava DK, Choi J, et al. (2018). St. Jude Lifetime Study Cohort Dataset for multilevel characteristics of cumulative symptom burden in young survivors of childhood cancer (Version 1) [Data set]. 2024. Zenodo. http://doi.org/10.5281/zenodo.11474180</li> </ol> <p><strong>Funding:</strong></p> <p>The research reported in the manuscript was supported by the US National Cancer Institute under award numbers U01CA195547, R01CA238368, T32CA225590, and P30CA021765. The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies.</p>
Genome Sequence of Colletotrichum karsti isolated from rose leaves exhibiting anthracnose symptoms in Potchefstroom, South Africa.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.