Results 111 to 120 of about 20,217 (261)

Early prediction of acute kidney injury in traumatic and non‐traumatic rhabdomyolysis using an interpretable machine learning model: A multicenter study with external validation

Journal of Intelligent Medicine, EarlyView.
Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu, Jie Shi, Fengjuan Wang, Liang Ma, Huangang Hu, Li Zhang, Jie Song, Heng Jin, Dingwei Yang, Xiaoqin Guo, Haojun Fan, Qi Lv   +11 more
wiley   +1 more source

Autonomous Velocity Encoding (VENC) Selection Improves Precision of Quantitative Flow Measurement

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background The optimal velocity encoding limit (VENC) in phase contrast MRI is subject‐specific because it depends on peak flow rate and the presence of flow jets. Currently, VENC is set manually with limited prior knowledge of the peak velocity. Setting the correct VENC might improve measurement precision or shorten scan times.
Pierre Daudé, Rajiv Ramasawmy, Christine Mancini, Dominique Franson, Sunggun Lee, Anastasia Tsakirellis, W. Patricia Bandettini, Ahsan Javed, Kelvin Chow, Adrienne E. Campbell‐Washburn   +9 more
wiley   +1 more source

Nonparametric Bootstrap Likelihood Estimation to Investigate the Chance Set-Up on Clustering Results

IEEE Open Journal of the Computer Society
Clustering algorithms are widely used in the knowledge discovery domain, but concerns and questions about the validity of the results must be considered.
Ammar Elnour, Wencheng Yang, Yan Li
doaj   +1 more source

Inter‐Reader Agreement for CT and MRI LI‐RADS Version 2018: An Individual Participant Data Meta‐Analysis

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background The Liver Imaging Reporting and Data System (LI‐RADS) is a classification system to diagnose hepatocellular carcinoma (HCC) noninvasively. The reported LI‐RADS inter‐reader variability in single‐center studies highlights the need to better understand the variability on a broader scale.
S. Das, E. Lam, O. Muhn, S. Mahbub, D. Ansari, H. Osman, R. Awad, M. K. Al‐Ghita, R. Thornhill, C. Walsh, M. M. G. Leeflang, H. Naringrekar, C. B. van der Pol, M. Alabousi, M. R. Bashir, A. F. Costa, B. Levis, J. Salameh, H. Kang, C. Clarke, D. R. Ludwig, M. D. Burgio, S. Lewis, T. J. Fraum, M. D. F. McInnes   +24 more
wiley   +1 more source

Validation of model predicting furcation involvement in newly crowned teeth—A 5‐year retrospective follow‐up

Journal of Periodontology, EarlyView.
Abstract Background This study aimed to perform a prediction model validation for furcation involvement (FI) risk in molars receiving a new fixed prosthesis (FP) using a unique cohort assessed at three time points. Methods Following the Oral Health Statistical (OHStat) reporting guidelines, this cohort study examined 181 patients (203 molars) from 2018–
Khushboo Kalani, Giuseppe Troiano, Asfandyar Sheikh, Era Kakar, Hom‐Lay Wang, Muhammad H. A. Saleh   +5 more
wiley   +1 more source

Nonparametric Bootstrap of Sample Means of Positive-Definite Matrices with an Application to Diffusion-Tensor-Imaging Data Analysis. [PDF]

Commun Stat Simul Comput, 2017
Ellingson L, Groisser D, Osborne D, Patrangenaru V, Schwartzman A.   +4 more
europepmc   +1 more source

Development of simple predictive models of tooth loss in the community setting

Journal of Periodontology, EarlyView.
Abstract Background A simple tool for predicting the risk of tooth loss is considered valuable for the implementation of early preventive measures in community settings. This study aimed to establish a simple predictive model for tooth loss in a community‐dwelling Japanese population.
Michiko Furuta, Takanori Honda, Shinya Kageyama, Nanami Sawada, Satoko Sakata, Jun Hata, Toshiharu Ninomiya, Toru Takeshita   +7 more
wiley   +1 more source

Paraben Exposure in the General Taiwanese Population: Reference Values, Personal Care Products, and Cumulative Risk Assessment

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Parabens (parahydroxybenzoates), which are frequently used as preservatives in pharmaceuticals, foodstuffs, and personal care products, have recently attracted considerable attention due to their adverse health effects and endocrine‐disrupting properties.
Jung‐Wei Chang, Yen‐Hsuan Huang, Hsin‐Chang Chen, Vinoth Kumar Ponnusamy, Wan‐Ting Chang, Po‐Chin Huang   +5 more
wiley   +1 more source

Bootstrapped Tests for Epistemic Fuzzy Data

International Journal of Applied Mathematics and Computer Science
Epistemic bootstrap is a resampling algorithm that generates bootstrap real-valued samples based on some epistemic fuzzy data input. We apply this method as a universal basis for various statistical tests which can be then directly used for fuzzy random ...
Grzegorzewski Przemysław, Romaniuk Maciej   +1 more
doaj   +1 more source

Feeling Vulnerable With My AI Companion: Examining Well‐Being in Human‐AI Relationships

Psychology &Marketing, EarlyView.
ABSTRACT Individuals resort to human‐AI relationships to fulfill psychological, social, and empathetic needs. Nevertheless, dilemmas arise from these interdependent relationships which, although destined to enhance users' well‐being, can also be detrimental to them.
Liliane Abboud, Valentina Pitardi, Hannah Marriott   +2 more
wiley   +1 more source