PLoS ONE最新文献

{"title":"Reliability and validity of the Japanese version of the Sleep Problem Acceptance Questionnaire.","authors":"Mizuki Bando, Tomohiro Asakura, Hiroshi Sato, Isa Okajima","doi":"10.1371/journal.pone.0358990","DOIUrl":"10.1371/journal.pone.0358990","url":null,"abstract":"<p><p>This study aimed to develop a Japanese version of the Sleep Problem Acceptance Questionnaire (SPAQ-J) and assess its reliability and validity. The SPAQ-J was developed through a forward-backward translation procedure with permission from the original authors. The sample included 861 adults with insomnia who completed questionnaires on experiential avoidance, insomnia symptoms, dysfunctional beliefs about sleep, sleep-related safety behaviors, insomnia catastrophizing, and pre-sleep arousal. Confirmatory factor analysis confirmed that the SPAQ-J retained the two-factor structure of the original version (CFI = 0.972, TLI = 0.958, RMSEA = 0.082, SRMR = 0.059): Activity Engagement and Willingness. Although internal consistency was adequate (Activity Engagement: α = 0.868, ω = 0.870; Willingness: α = 0.895, ω = 0.895), test-retest reliability was below the recommended threshold (Activity Engagement: ICC = 0.586, Willingness: ICC = 0.589). In terms of construct validity, Willingness moderately correlated with all scales, whereas Activity Engagement showed moderate-to-weak correlations. Hierarchical multiple regression analysis revealed that adding the SPAQ-J subscales significantly enhanced the explanatory power. Measurement invariance analysis across sex and age groups showed no significant changes in the fit indices, indicating stability. These findings suggest that the SPAQ-J is a valid and partially reliable measure of psychological flexibility related to sleep problems in the Japanese population.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"21 10","pages":"e0358990"},"PeriodicalIF":2.8,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13674769/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149207857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rising stroke burden in Uganda: A national time-series analysis and forecasts, 2016-2028.","authors":"Suzan Nakasendwa, Joan Nankya Mutyoba, Alex Riolexus Ario, Evans Omondi, Brenda Birungi Bashemera, Francis Kakooza, Letisha Najjemba, Joyce Nakatumba Nabende, David Guwatudde, Agnes Kiragga","doi":"10.1371/journal.pone.0360963","DOIUrl":"10.1371/journal.pone.0360963","url":null,"abstract":"<p><strong>Introduction: </strong>Stroke is a leading cause of mortality and disability globally, with a disproportionate and growing burden in low- and middle-income Countries. However, evidence on national temporal trends and potential impacts in Uganda remains limited. This study examined trends in stroke cases and deaths in Uganda and forecast of future stroke burden through December 2028.</p><p><strong>Methods: </strong>We conducted a retrospective time-series analysis of District Health Information System (DHIS2) from 2016 to 2025. Monthly stroke cases, and deaths were analyzed. Monthly populations of Uganda were estimated using exponential growth interpolation and incorporated as an offset term in Bayesian negative binomial regression models to estimate incidence rate ratios (IRR) at 95% confidence interval (CI). Decomposition analysis using the Kitagawa method was applied to derive contributions from population growth and epidemiological change, based on model estimates. Stationarity and autocorrelation were assessed using the unit root and Ljung-Box tests. Forecasting was performed using the exponential smoothing state-space (ETS) model at 80% prediction intervals (PI).</p><p><strong>Results: </strong>Trend analysis showed sustained monthly increases in stroke incidence and mortality with IRR; 1.005 (95% CI: 1.004-1.006), and 1.006 (95% CI: 1.005-1.007), respectively (all p < 0.001). The epidemiological effect was approximately twice as large as the population effect, indicating that the majority of the increase in stroke cases and deaths is attributable to rising incidence rates rather than population growth alone. ETS model demonstrated that by December 2028, monthly cases and deaths are projected to reach approximately 927 (80% PI: 709-1,156) and 126 (80% PI: 94-160), respectively.</p><p><strong>Conclusion: </strong>Stroke burden in Uganda is projected to continue increase further over the next years in the absence of effective prevention measures. Strengthened primary prevention, expanded acute stroke care capacity, and improved surveillance systems are urgently needed to mitigate the growing health system impact.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"21 10","pages":"e0360963"},"PeriodicalIF":2.8,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13674727/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149207898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Word-color association from large-scale online data: Methodology and applications.","authors":"Sungpil Wang, Juyong M Park","doi":"10.1371/journal.pone.0360407","DOIUrl":"10.1371/journal.pone.0360407","url":null,"abstract":"<p><p>Words and colors are intimately associated in humans, a sign of the close relationship between verbal, linguistic expression and cognition. Word-color association therefore plays an important role in areas of communication such as marketing and literature. Traditional efforts to build a general, scalable, and quantitative mapping of word-color association have often relied on surveys, experiencing difficulties in curating large-scale data sets, enrolling sufficient participants, and excising potential inherent researcher biases in the choice of the words and the colors to be mapped. Even the most recent computational efforts based on Large Language Models (LLMs) do not overcome these problems due to their near-complete lack of transparency in data and methodology that results in low confidence, consistency, and reliability. Here we propose a framework that overcomes these limitations via the use of freely accessible large-scale web image data, and fully transparent and reproducible methods that allow one to build color associations for almost any given word. We also showcase the methodology in action through analyses of color usage in corporate branding and 20th-century Anglo-American poetry. These show that our framework can help form new answers to and perspectives on long-standing questions in communication. Additionally, our framework by design can be readily adopted for use in any language supported by a web image search engine, and its code is freely available in open source; we therefore expect it to contribute towards achieving a universal, multilingual understanding of word-color association.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"21 10","pages":"e0360407"},"PeriodicalIF":2.8,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13674752/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149207527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pain experiences of Tibetan children with hematologic malignancies in China: A descriptive phenomenological study.","authors":"Yi Chen, Yu Liu, Juan Zhou, Huarong Pu, Jinglan Zhang","doi":"10.1371/journal.pone.0360911","DOIUrl":"10.1371/journal.pone.0360911","url":null,"abstract":"<p><strong>Background: </strong>Pain is common in children with hematologic malignancies. It can be highly distressing and can shape how children feel and function during hospitalization. Children's pain experiences are influenced not only by disease and treatment but also by developmental level, family context, language, and culture. However, little is known about how Tibetan children with hematologic malignancies experience and communicate pain in clinical settings.</p><p><strong>Aim: </strong>We aimed to explore the pain experiences of Tibetan children with hematologic malignancies and to inform culturally responsive pain assessment and nursing care.</p><p><strong>Methods: </strong>We used a descriptive phenomenological design. From February to March 2026, we purposively recruited 15 Tibetan children with hematologic malignancies from a pediatric hematology-oncology ward in Sichuan, China. Data were collected through play-based, semi-structured face-to-face interviews with children and analyzed using an adapted version of Colaizzi's phenomenological method.</p><p><strong>Results: </strong>Four themes were identified: (1) cultural and spiritual interpretations of pain, including silent endurance and religious or traditional coping; (2) linguistic and communicative constraints in pain expression, including limited Mandarin vocabulary and indirect expression of discomfort; (3) family-centered dimensions of pain experience, including emotional security through family presence, relational continuity through family accompaniment, and familiar family-based comfort practices; and (4) hospitalization-related disruptions to everyday social life, including disrupted schooling and peer contact and concerns about illness disclosure and social isolation.</p><p><strong>Conclusions: </strong>The findings suggest that culturally responsive pain assessment may benefit from child-centered communication, attention to indirect and nonverbal expressions of pain, and recognition of the supportive role of family relationships and familiar comfort practices.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"21 10","pages":"e0360911"},"PeriodicalIF":2.8,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13674772/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149207727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A mild, effective, and green micro-dissolution treatment for wool fiber using choline-ascorbic acid NADES.","authors":"Zhe Jiang","doi":"10.1371/journal.pone.0360539","DOIUrl":"10.1371/journal.pone.0360539","url":null,"abstract":"<p><p>Herein, we proposed a mild and effective approach for the surface modification of wool fiber using a natural deep eutectic solvent (NADES) composed of choline chloride and ascorbic acid (Vitamin C), avoiding the unsustainability of oxidation methods and severe damage of enzyme methods. The results showed that the NADES could remove keratin-associated proteins partly due to the breakage of disulfide bonds with the retention of the protein's main macromolecular skeleton and secondary structure, and the exposure degree increase of hydrophilic groups. Furthermore, the hydrophily, dye performance, and anti-felting properties were improved and met industrial standards. The developed method had apparent advances in treatment time, energy consumption, and chemical usage compared to present methods. This work contributes to the further investigation of NADES on the protein modification.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"21 10","pages":"e0360539"},"PeriodicalIF":2.8,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13674698/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149207728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clustering of patient-derived laboratory data: A privacy-preserving distributed approach to enhance clinical laboratory quality control and regional external quality assessment.","authors":"Chao Song, Qian Chen, Chunsheng Qu, Liqing Xu, Zhiming Shan, Jun Zhou, Weixing Li","doi":"10.1371/journal.pone.0359083","DOIUrl":"10.1371/journal.pone.0359083","url":null,"abstract":"<p><strong>Background: </strong>Traditional quality control (QC) has inherent limitations, and there are still various challenges existing in patient-based real-time QC (PBRTQC) and patient-based quality assurance (PBQA). We developed an integrated PBRTQC-PBQA model using density-based clustering and evaluated its effectiveness as a regional clinical laboratory quality assurance tool.</p><p><strong>Methods: </strong>A 20-month multicentre study across seven hospitals analysed five haematological analytes(white blood cell count [WBC], red blood cell count [RBC], haemoglobin [HGB], platelet count [PLT], and mean corpuscular volume [MCV]). Custom Clustering-PBRTQC-PBQA(CPP) models were developed using log/Box-Cox transformation, 3D spatial construction with companion analytes determined by distribution morphology, Mahalanobis distance filtering (chi-square = 0.3, ~ 47% exclusion rate), and iterative OPTICS clustering to identify hospital-specific core reference populations. A privacy-preserving distributed architecture transmitted only aggregated statistical summaries. Median/EWMA harts (PBRTQC) and Z-score/relative bias charts (PBQA) were created alongside a closed-loop quality improvement system and calibration event verification.</p><p><strong>Results: </strong>The CPP model reduced EWMA alert episodes by 25.0% (92-69) while increasing 1-3S alert episodes by 31.2% (64-84) compared with conventional moving-average PBRTQC, demonstrating selective elimination of systematic bias signals while preserving sensitivity to random errors (net change: 180-173 episodes, -3.9%). Overall calibration consistency was 82.3% (95% CI: 74.1%-88.7%). Among 52 confirmed true-positive alerts, 37 (71.2%) were detected without concurrent internal QC out-of-control signals, demonstrating the model's capacity to capture low-magnitude biases that conventional IQC misses.</p><p><strong>Conclusion: </strong>Density-based clustering underpins the PBRTQC-PBQA model's effectiveness in deriving hospital-specific core reference values, filtering unconfirmed QC alerts, validating calibration, and enhancing regional test consistency. The model's ability to detect systematic biases not captured by IQC underscores its value as a complementary quality assurance layer. Its lightweight design supports regional deployment.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"21 10","pages":"e0359083"},"PeriodicalIF":2.8,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13674710/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149207767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Concave sparsity-assisted time-reassigned multisynchrosqueezing transform for early-stage weak fault feature enhancement with applications to bearing fault diagnosis.","authors":"Delong Zhang, Yubo Ma, Hongan Wu","doi":"10.1371/journal.pone.0360733","DOIUrl":"10.1371/journal.pone.0360733","url":null,"abstract":"<p><p>Early-stage defects in wind turbine bearings often generate weak impulsive signatures that are easily obscured by strong background noise, posing a significant challenge to accurate extraction of fault-related features. To overcome this limitation, a novel concave sparsity-assisted time-reassigned multisynchrosqueezing transform (CSA-TMSST) is developed to improve the extraction of weak fault-related signatures. First, a non-convex sparse optimization model incorporating the generalized minimax-concave (GMC) penalty is established to reconstruct fault impulsive components from the raw signal. The introduced GMC-based sparse regularization enhances signal sparsity, enabling the accurate extraction of impulsive fault signatures. Subsequently, TMSST is employed to characterize the reconstructed signal in the time-frequency (TF) domain, yielding a more concentrated time-frequency representation (TFR). Furthermore, the iterative reassignment mechanism is utilized to enhance the concentration of TF energy distribution, thereby yielding a clearer TFR of transient fault features. Finally, characteristic fault frequencies are identified via spectral analysis. The results demonstrate that CSA-TMSST is capable of extracting weak fault-related signatures and producing high-quality TFRs under strong noise conditions, confirming its effectiveness and superiority.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"21 10","pages":"e0360733"},"PeriodicalIF":2.8,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13674754/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149207777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improved vision transformer for sports image classification via transfer learning and knowledge distillation.","authors":"Chao Li, Daniel Memmert, Qiang Liu","doi":"10.1371/journal.pone.0337744","DOIUrl":"10.1371/journal.pone.0337744","url":null,"abstract":"<p><p>To address the challenges posed by complex visual characteristics in sports image classification, this study proposes an enhanced Vision Transformer (ViT) model built upon the Native Resolution ViT (NaViT) architecture. The principal innovations include replacing conventional single-layer feedforward networks with parallel feedforward networks and introducing an attention-guided distillation framework with input-dependent attention-weighted feature fusion, which adaptively regulates the contribution of frozen distillation features to the prediction pathway. The proposed approach leverages ImageNet-pretrained weights and performs domain-specific fine-tuning on sports datasets. Experimental results demonstrate substantial performance gains. On the multi-sport classification dataset, the proposed model achieves an accuracy of 0.9752 and a Macro-F1 score of 0.9753, outperforming the evaluated CNN benchmarks and ViT variants. For soccer match event classification, it achieves an accuracy of 0.9863 and a Macro-F1 score of 0.9718, while ranking first in the TOPSIS evaluation. These results demonstrate the effectiveness of integrating parallel feedforward processing, transfer learning, and distillation-guided feature fusion for sports image classification under complex visual conditions.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"21 10","pages":"e0337744"},"PeriodicalIF":2.8,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13674770/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149207710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disaster-related information support systems for families of older adults with special healthcare needs: A scoping review.","authors":"Qianmei Zhong, Chunyue Xiao, Dan Liu, Lawrence T Lam, Jia Pu","doi":"10.1371/journal.pone.0358320","DOIUrl":"10.1371/journal.pone.0358320","url":null,"abstract":"<p><p>Based on the theory of structural vulnerability, this study systematically examines the characteristics and underlying mechanisms shaping information needs among families of older adults with special healthcare needs in disaster contexts, providing a theoretical foundation for developing a family-system collaborative disaster information support system. In this scoping review, we systematically searched PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang Data, VIP Database, and the Chinese Biomedical Literature Database from inception to December 31, 2025. A total of 22 studies were included. The findings suggest that the information needs in this population are highly heterogeneous, particularly among families managing cognitive impairments and chronic diseases. These families not only bear the responsibility of information transmission but also act as intermediaries responsible for translating, interpreting, and filtering information. However, existing disaster information support systems insufficiently meet their needs, particularly regarding information accessibility and comprehensibility, which presents significant gaps. Additionally, family caregivers face a disparity between responsibility and capacity, lacking effective support tools, potentially contributing to decision fatigue and information overload. Overall, the study suggests that the information needs of these families may arise from structural mechanisms embedded within disaster response systems. Future disaster information support strategies should move beyond the simple \"family-centered\" approach to a family-system synergy model. Such an approach should incorporate decision-support toolkits and parallel communication channels while also providing structured decision support and risk-sharing mechanisms. This shift would transform family caregivers from unsupported gap-fillers into active yet supported decision participants, thereby enhancing both disaster response capacity and equity for this vulnerable population.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"21 10","pages":"e0358320"},"PeriodicalIF":2.8,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13674750/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149207729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"H-HQNN: Hybrid quantum-classical neural network with feature selection by heuristics to predict heart failure.","authors":"Neeraja Peddinti, M Sowmya Vani","doi":"10.1371/journal.pone.0360391","DOIUrl":"10.1371/journal.pone.0360391","url":null,"abstract":"<p><p>Cardiovascular diseases are the most dominant cause of mortality across the entire world, claiming 17.9 million lives every year. According to recent trends, the mortality rate as a result of heart failure continues to increase particularly in low- and middle-income areas which means that early diagnostic tools desperately need to be discovered. Conventional biomarkers like NT-proBNP, troponins and creatinine levels are useful, although their sensitivity and specificity are low, particularly in identifying heart failure onset before it is actually clinically apparent. We suggest addressing these issues by proposing the following Hybrid Quantum-Classical Neural Network with Heuristics-Based Feature Selection that can be used to predict the onset of heart failure: H-HQNN: A Hybrid Quantum-Classical Neural Network with Heuristics-Based Feature Selection. Given this, SMOTE is used to balance the clinical data and reduce class imbalance, whereas the most informative cardiac biomarkers and clinical features are selected using a two-stage process in which Recursive Feature Elimination (RFE) first prunes redundant attributes, followed by a dual-phase optimization where PSO refines the feature subset and Cuckoo Search (CS) enhances global exploration to avoid local minima, resulting in a compact and highly relevant feature set. These features are then represented in a variational quantum circuit (4 qubits) and are implemented as ZZFeatureMap, Pauli-Z gates, EfficientSU2, and RealAmplitudes, which are combined in a hybrid quantum-classical neural network. Performance was estimated using stratified 5-fold cross-validation on a single public dataset; external validation on independent cohorts has not yet been performed. The average accuracy of our model is 96.62% ± 3.45 with precision of 96.11, recall of 96.10, F1-score of 96.54 and AUC = 0.9604. The most efficient fold has 98.30% accuracy and AUC = 0.9872 with a confusion matrix of almost perfect balance in true positive and true negative rates. H-HQNN is more efficient and interpretable as it achieves better discriminative power, with fewer features, compared to classical baselines (e.g., Random Forests, deep neural networks). H-HQNN presents an opportunity toward novel methodology of identifying early heart failure by utilizing quantum-classical hybrid modeling and heuristic feature selection to ensure progress in preventative cardiology and therapeutic intervention in particular where advanced imaging studies or invasive measurements of biomarkers are not feasible.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"21 10","pages":"e0360391"},"PeriodicalIF":2.8,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13674744/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149207891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}