Search alternatives:
predictive » prediction (Expand Search)
Showing 441 - 460 results of 8,667 for search 'predictive behavior', query time: 0.17s Refine Results
  1. 441

    Determinants of self-care behaviors in patients with knee osteoarthritis based on the theory of planned behavior in Iran by Mohammad Ali Morowatisharifabad, Sakineh Gerayllo, Zohreh Karimiankakolaki, Ali Dehghan, Hossein Soleymani Salehabadi, Hossein Fallahzadeh

    Published 2020-01-01
    “…Following data analysis, the constructs of the TPB predicted 8% of the variance of intention and 16.2% of the variance of OA self-care behaviors. …”
    Get full text
    Article
  2. 442
  3. 443

    Deep learning with ensemble-based hybrid AI model for bipolar and unipolar depression detection using demographic and behavioral based on time-series data by Naga Raju Kanchapogu, Sachi Nandan Mohanty

    Published 2025-12-01
    “…Integrating temporal and static features improved prediction of Bipolar and Unipolar Depression. Interpretability tools revealed key features and time patterns influencing predictions.Conclusions This work introduces a robust and interpretable framework for depression classification using synthetic multimodal data. …”
    Get full text
    Article
  4. 444

    Parents’ Educational Background and Child’s Learned Skills Are More Predictive for a Positive School Career than Earlier Parenting Behavior or Child’s Mental Health—Results from an 18-Year Longitudinal Observation Study by Beate Muschalla, Ann-Katrin Job, Wolfgang Schulz

    Published 2025-04-01
    “…<b>Results</b>: Educational degree of the parents was predictive of the child’s school success (<i>β</i> = −0.267, <i>p</i> < 0.001, in regression analysis). …”
    Get full text
    Article
  5. 445

    The mediating role of healthy behaviors and self-perceived health in the relationship between eating behaviors and comorbidity in adults by Cristian Ramos-Vera, Gleni Quispe-Callo, Miguel Basauri-Delgado, Yaquelin E. Calizaya-Milla, Christian Casas-Gálvez, Norma Del Carmen Gálvez-Díaz, Jacksaint Saintila

    Published 2024-11-01
    “…This study aimed to evaluate the mediating role of these factors in the relationship between eating behaviors and comorbidity in U.S. adults. Methods A cross-sectional predictive study using data from 5,247 adults from the Health Information National Trends Survey (HINTS) 5, cycle 3 (2019) was conducted. …”
    Get full text
    Article
  6. 446

    Vaccination behavior under uncertainty: a longitudinal study on factors associated with COVID-19 vaccination behavior in Japan with a focus on the effect of close contacts’ vaccina... by Yu Ishii, Kazuhiro Yamaguchi, Ryota Sakakibara

    Published 2024-12-01
    “…This study aimed to examine how beliefs, attitudes, and changes in the vaccination behavior of close contacts from the beginning of vaccine distribution predict COVID-19 vaccination behavior approximately one year later in a Japanese sample.Method A longitudinal web-based survey was conducted at three points between May 14–16, 2021, and August 12–18, 2022. …”
    Get full text
    Article
  7. 447
  8. 448
  9. 449
  10. 450

    Predictive learning as the basis of the testing effect by Haopeng Chen, Cathy Hauspie, Kate Ergo, Cristian Buc Calderon, Tom Verguts

    Published 2025-02-01
    “…Emergent frameworks propose fundamental (Hebbian and predictive) learning principles as its basis. Predictive learning posits that learning occurs based on the contrast (error) between a prediction and the feedback on that prediction (prediction error). …”
    Get full text
    Article
  11. 451
  12. 452
  13. 453

    An active inference account of stuttering behavior by Evan Usler

    Published 2025-04-01
    “…The principles of active inference, a theory of predictive processing and sentient behavior, can be used to conceptualize stuttering as a disruption in perception-action cycling underlying speech production. …”
    Get full text
    Article
  14. 454

    Wear Characterization and Coefficient of Friction Prediction Using a Convolutional Neural Network Model for Chromium-Coated SnSb11Cu6 Alloy by Mihail Kolev, Vladimir Petkov, Veselin Petkov, Rositza Dimitrova, Shaban Uzun, Boyko Krastev

    Published 2025-04-01
    “…To further analyze the frictional behavior, a deep learning model based on a one-dimensional convolutional neural network was employed to predict COF trends over time, achieving excellent accuracy with R<sup>2</sup> values of 0.9971 for validation and 0.9968 for testing. …”
    Get full text
    Article
  15. 455

    Integrating the Situational Theory of Problem Solving and Technology Acceptance Model to Predict Intention to Practice Health Protective Behavior for Influenza-Like Illness Among TikTok Users: Cross-Sectional Study by Can Li, Jen-Sern Tham, Ghazali Akmar Hayati Ahmad, Norliana Hashim, Jeong-Nam Kim

    Published 2025-07-01
    “…Both attitude (β=.390; P<.001) and situational motivation (β=.471; P<.001) significantly influenced communicative action, which in turn predicted intention to practice protective behaviors (β=.570; P<.001). …”
    Get full text
    Article
  16. 456
  17. 457

    APPROACHES TO ASSESSING FACTORS OF CONSUMER BEHAVIOR by I. P. Lapteva, L. N. Trusova, E. N. Grishina

    Published 2018-06-01
    “…The use of a set of special indicators for predicting consumer behavior allows a deeper and broader look at the problem under study. …”
    Get full text
    Article
  18. 458

    Quasispecies theory and the behavior of RNA viruses. by Adam S Lauring, Raul Andino

    Published 2010-07-01
    “…A quasispecies is a cloud of diverse variants that are genetically linked through mutation, interact cooperatively on a functional level, and collectively contribute to the characteristics of the population. Many predictions of quasispecies theory run counter to traditional views of microbial behavior and evolution and have profound implications for our understanding of viral disease. …”
    Get full text
    Article
  19. 459
  20. 460

    Mesoscale Modelling of the Mechanical Behavior of Metaconcretes by Antonio Martínez Raya, Gastón Sal-Anglada, María Pilar Ariza, Matías Braun

    Published 2025-06-01
    “…This study develops the first two-dimensional mesoscale finite-element model that explicitly represents steel cores, rubber coatings, and interfacial transition zones to predict the quasi-static behavior of MC. The model is validated against benchmark experiments, reproducing the 56% loss of compressive strength recorded for a 10.6% resonator volume fraction with an error of less than 1%. …”
    Get full text
    Article