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Total 33 results found since Jan 2013.

IJERPH, Vol. 17, Pages 1828: Stroke Prediction with Machine Learning Methods among Older Chinese
ang Timely stroke diagnosis and intervention are necessary considering its high prevalence. Previous studies have mainly focused on stroke prediction with balanced data. Thus, this study aimed to develop machine learning models for predicting stroke with imbalanced data in an elderly population in China. Data were obtained from a prospective cohort that included 1131 participants (56 stroke patients and 1075 non-stroke participants) in 2012 and 2014, respectively. Data balancing techniques including random over-sampling (ROS), random under-sampling (RUS), and synthetic minority over-sampling technique (SMOTE) were used...
Source: International Journal of Environmental Research and Public Health - March 11, 2020 Category: Environmental Health Authors: Yafei Wu Ya Fang Tags: Article Source Type: research

IJERPH, Vol. 16, Pages 1876: The Use of Deep Learning to Predict Stroke Patient Mortality
e Lim The increase in stroke incidence with the aging of the Korean population will rapidly impose an economic burden on society. Timely treatment can improve stroke prognosis. Awareness of stroke warning signs and appropriate actions in the event of a stroke improve outcomes. Medical service use and health behavior data are easier to collect than medical imaging data. Here, we used a deep neural network to detect stroke using medical service use and health behavior data; we identified 15,099 patients with stroke. Principal component analysis (PCA) featuring quantile scaling was used to extract relevant background feat...
Source: International Journal of Environmental Research and Public Health - May 27, 2019 Category: Environmental Health Authors: Songhee Cheon Jungyoon Kim Jihye Lim Tags: Article Source Type: research

IJERPH, Vol. 18, Pages 6500: Free Fatty Acids Are Associated with the Cognitive Functions in Stroke Survivors
ta Szczuko Ischemic stroke is a leading cause of motor impairment and psychosocial disability. Although free fatty acids (FFA) have been proven to affect the risk of stroke and potentially dementia, the evidence of their impact on cognitive functions in stroke patients is lacking. We aimed to establish such potential relationships. Seventy-two ischemic stroke patients were prospectively analysed. Their cognitive functions were assessed seven days post-stroke and six months later as follow-up (n = 41). Seven days post-stroke analysis of serum FFAs levels showed direct correlations between Cognitive Verbal Learning Test ...
Source: International Journal of Environmental Research and Public Health - June 16, 2021 Category: Environmental Health Authors: Dariusz Kotl ęga Barbara Peda Joanna Palma Agnieszka Zembro ń-Łacny Monika Go łąb-Janowska Marta Masztalewicz Przemys ław Nowacki Ma łgorzata Szczuko Tags: Article Source Type: research

IJERPH, Vol. 14, Pages 293: Life after Stroke in an Urban Minority Population: A Photovoice Project
Stroke is a leading cause of disability in the United States and disproportionately affects minority populations. We sought to explore the quality of life in urban, minority stroke survivors through their own photos and narratives. Using the Photovoice method, seventeen stroke survivors were instructed to take pictures reflecting their experience living with and recovering from stroke. Key photographs were discussed in detail; participants brainstormed ways to improve their lives and presented their work in clinical and community sites. Group discussions were recorded, transcribed, and coded transcripts were reviewed with ...
Source: International Journal of Environmental Research and Public Health - March 10, 2017 Category: Environmental Health Authors: Revathi Balakrishnan Benjamin Kaplan Rennie Negron Kezhen Fei Judith Goldfinger Carol Horowitz Tags: Article Source Type: research

IJERPH, Vol. 19, Pages 10465: & ldquo;Back into Life & mdash;With a Power Wheelchair & rdquo;: Learning from People with Severe Stroke through a Participatory Photovoice Study in a Metropolitan Area in Germany
IJERPH, Vol. 19, Pages 10465: “Back into Life—With a Power Wheelchair”: Learning from People with Severe Stroke through a Participatory Photovoice Study in a Metropolitan Area in Germany International Journal of Environmental Research and Public Health doi: 10.3390/ijerph191710465 Authors: Tabea Böttger Silke Dennhardt Julia Knape Ulrike Marotzki Severe stroke leads to permanent changes in everyday life. Many stroke survivors depend on support in community mobility (CM). This leads to restrictions and limited social participation. A power wheelchair (PWC) can enable independent ...
Source: International Journal of Environmental Research and Public Health - August 23, 2022 Category: Environmental Health Authors: Tabea B öttger Silke Dennhardt Julia Knape Ulrike Marotzki Tags: Article Source Type: research

IJERPH, Vol. 18, Pages 813: Hybrid Decision Support to Monitor Atrial Fibrillation for Stroke Prevention
liver Faust In this paper, we discuss hybrid decision support to monitor atrial fibrillation for stroke prevention. Hybrid decision support takes the form of human experts and machine algorithms working cooperatively on a diagnosis. The link to stroke prevention comes from the fact that patients with Atrial Fibrillation (AF) have a fivefold increased stroke risk. Early diagnosis, which leads to adequate AF treatment, can decrease the stroke risk by 66% and thereby prevent stroke. The monitoring service is based on Heart Rate (HR) measurements. The resulting signals are communicated and stored with Internet of Things (I...
Source: International Journal of Environmental Research and Public Health - January 19, 2021 Category: Environmental Health Authors: Ningrong Lei Murtadha Kareem Seung Ki Moon Edward J. Ciaccio U Rajendra Acharya Oliver Faust Tags: Article Source Type: research

IJERPH, Vol. 18, Pages 5925: Self-Management in Stroke Survivors: Development and Implementation of the Look after Yourself (LAY) Intervention
Conclusion: The LAY intervention is the first Italian program to support early self-management in stroke rehabilitation; it has been experimented and its efficacy proven in improving self-efficacy, mental health, and activities of daily living, and detailed results have been published. The LAY intervention is described according to the TIDieR checklist.
Source: International Journal of Environmental Research and Public Health - May 31, 2021 Category: Environmental Health Authors: Stefania Fugazzaro Monica Denti Monia Allisen Accogli Stefania Costi Donatella Pagliacci Simona Calugi Enrica Cavalli Mariangela Taricco Roberta Bardelli on behalf of Look After Yourself Project Tags: Study Protocol Source Type: research

IJERPH, Vol. 20, Pages 4123: Predicting Arm Nonuse in Individuals with Good Arm Motor Function after Stroke Rehabilitation: A Machine Learning Study
Keh-Chung Lin Many stroke survivors demonstrate arm nonuse despite good arm motor function. This retrospective secondary analysis aims to identify predictors of arm nonusers with good arm motor function after stroke rehabilitation. A total of 78 participants were categorized into 2 groups using the Fugl-Meyer Assessment Upper Extremity Scale (FMA-UE) and the Motor Activity Log Amount of Use (MAL-AOU). Group 1 comprised participants with good motor function (FMA-UE ≥ 31) and low daily upper limb use (MAL-AOU ≤ 2.5), and group 2 comprised all other participants. Feature selection analysis was perf...
Source: International Journal of Environmental Research and Public Health - February 25, 2023 Category: Environmental Health Authors: Yu-Wen Chen Yi-Chun Li Chien-Yu Huang Chia-Jung Lin Chia-Jui Tien Wen-Shiang Chen Chia-Ling Chen Keh-Chung Lin Tags: Article Source Type: research

IJERPH, Vol. 19, Pages 5215: Machine Learning and Lean Six Sigma to Assess How COVID-19 Has Changed the Patient Management of the Complex Operative Unit of Neurology and Stroke Unit: A Single Center Study
Conclusions: This work has shown how, thanks to the implementation of protocols for the management of the COU of the Neurology and Stroke Unit, the work of doctors has improved, and this is evident from the values of the parameters taken into consideration.
Source: International Journal of Environmental Research and Public Health - April 26, 2022 Category: Environmental Health Authors: Giovanni Improta Anna Borrelli Maria Triassi Tags: Article Source Type: research

Exploring the impacts of street-level greenspace on stroke and cardiovascular diseases in Chinese adults
In this study, the CVDs and stroke data of participants were retrieved from the 33 Chinese Community Health Study. We measured participants' exposure to street-level greenspace exposure using street view images and machine learning technique. Multilevel logistic regressions were applied. While controlling for confounders, we found that higher level of street-level greenspace exposure was associated with lower CVDs prevalence. However, street-level greenspace exposure was associated with stroke prevalence only for females. The associations were stronger among females, younger adults, participants with educational attainment...
Source: Ecotoxicology and Environmental Safety - August 21, 2022 Category: Environmental Health Authors: Ruoyu Wang Pengxin Dong Guoping Dong Xiang Xiao Jingwen Huang Linchuan Yang Yunjiang Yu Guang-Hui Dong Source Type: research

IJERPH, Vol. 19, Pages 3182: Predictive Model and Mortality Risk Score during Admission for Ischaemic Stroke with Conservative Treatment
Conclusions: It is possible to create a predictive model of mortality for patients with ischaemic stroke from which important advances can be made towards optimising the quality and efficiency of care. The model results are available within a few minutes of admission and would provide a valuable complementary resource for the neurologist.
Source: International Journal of Environmental Research and Public Health - March 8, 2022 Category: Environmental Health Authors: Mar ía Carmen Lea-Pereira Laura Amaya-Pascasio Patricia Mart ínez-Sánchez Mar ía del Mar Rodríguez Salvador Jos é Galván-Espinosa Luis T éllez-Ramírez Fernando Reche-Lorite Mar ía-José Sánchez Juan Manuel Garc ía-Torrecillas Tags: Article Source Type: research

IJERPH, Vol. 18, Pages 1634: Measuring Activities of Daily Living in Stroke Patients with Motion Machine Learning Algorithms: A Pilot Study
This study aimed to develop and determine the accuracy of detecting different ADLs using machine-learning (ML) algorithms and wearable sensors. Eleven post-stroke patients participated in this pilot study at an ADL Simulation Lab across two study visits. We collected blocks of repeated activity (“atomic” activity) performance data to train our ML algorithms during one visit. We evaluated our ML algorithms using independent semi-naturalistic activity data collected at a separate session. We tested Decision Tree, Random Forest, Support Vector Machine (SVM), and eXtreme Gradient Boosting (XGBoost) for model development. X...
Source: International Journal of Environmental Research and Public Health - February 9, 2021 Category: Environmental Health Authors: Pin-Wei Chen Nathan A. Baune Igor Zwir Jiayu Wang Victoria Swamidass Alex W.K. Wong Tags: Article Source Type: research

IJERPH, Vol. 20, Pages 6093: Effects of High-Frequency Repetitive Transcranial Magnetic Stimulation Combined with Motor Learning on Motor Function and Grip Force of the Upper Limbs and Activities of Daily Living in Patients with a Subacute Stroke
Lee Functional paralysis of the upper extremities occurs in >70% of all patients after having a stroke, and >60% showed decreased hand dexterity. A total of 30 patients with a subacute stroke were randomly allocated to either high-frequency repetitive transcranial magnetic stimulation combined with motor learning (n = 14) or sham repetitive transcranial magnetic stimulation combined with motor learning (n = 16). High-frequency repetitive transcranial magnetic stimulation combined with the motor learning group was conducted for 20 min (10 min of high-frequency repetitive transcranial magnetic stimu...
Source: International Journal of Environmental Research and Public Health - June 9, 2023 Category: Environmental Health Authors: Jungwoo Shim Seungwon Lee Tags: Article Source Type: research

IJERPH, Vol. 19, Pages 7020: The Effect of a Coordinative Training in Young Swimmers & rsquo; Performance
This study investigated the effects of a coordinative in-water training. Total 26 young swimmers (16 boys) were divided in a training group (that performed two sets of 6 × 25-m front crawl, with manipulated speed and stroke frequency, two/week for eight weeks) and a control group. At the beginning and end of the training period, swimmers performed 50-m front crawl sprints recorded by seven land and six underwater Qualisys cameras. A linear mixed model regression was applied to investigate the training effects adjusted for sex. Differences between sex were registered in terms of speed, stroke length, and strok...
Source: International Journal of Environmental Research and Public Health - June 8, 2022 Category: Environmental Health Authors: Ana F. Silva Pedro Figueiredo Jo ão P. Vilas-Boas Ricardo J. Fernandes Ludovic Seifert Tags: Article Source Type: research

Between Extremes: Health Effects of Heat and Cold
Nate Seltenrich covers science and the environment from Petaluma, CA. His work has appeared in High Country News, Sierra, Yale Environment 360, Earth Island Journal, and other regional and national publications. Background image: © Roy Scott About This Article open Citation: Seltenrich N. 2015. Between extremes: health effects of heat and cold. Environ Health Perspect 123:A275–A279; http://dx.doi.org/10.1289/ehp.123-A275 Published: 1 November 2015 PDF Version (2.4 MB) Although heat waves and cold snaps pose major health risks and grab headlines when they occur, recent studies have uncovered a more complex and...
Source: EHP Research - November 2, 2015 Category: Environmental Health Authors: Web Admin Tags: Featured Focus News November 2015 Source Type: research