Results 111 to 120 of about 2,525,063 (363)

Hip morphology‐based osteoarthritis risk prediction models: development and external validation using individual participant data from the World COACH Consortium

Arthritis Care &Research, Accepted Article.
Objectives This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the World COACH consortium ...
Myrthe A. van den Berg, Fleur Boel, Michiel M.A. van Buuren, Noortje S. Riedstra, Jinchi Tang, Harbeer Ahedi, Nigel K. Arden, Sita M.A. Bierma‐Zeinstra, Cindy G. Boer, Flavia M. Cicuttini, Timothy F. Cootes, David T. Felson, Willem Paul Gielis, Joshua Heerey, Graeme Jones, Stefan Kluzek, Nancy E. Lane, Claudia Lindner, Joyce B.J. van Meurs, Andrea Mosler, Amanda E. Nelson, Michael C. Nevitt, Edwin H. Oei, Jos Runhaar, Harrie Weinans, Jesse H. Krijthe, Rintje Agricola   +26 more
wiley   +1 more source

Improving Classifier Performance Assessment of Credit Scoring Models [PDF]

In evaluating credit scoring predictive power it is common to use the Re-ceiver Operating Characteristics (ROC) curve, the Area Under the Curve(AUC) and the minimum probability-weighted loss.
Raffaella Calabrese
core  

Exploring patients’ profiles associated with the resolution of acute calcium pyrophosphate arthritis treatedwith colchicine and prednisone: post hoc analysis of a randomized controlled trial

Arthritis Care &Research, Accepted Article.
Objective The objective was to identify factors determining acute arthritis resolution and safety with colchicine and prednisone in acute calcium pyrophosphate (CPP) crystal arthritis. Methods We conducted a post hoc analysis of the COLCHICORT trial, which compared colchicine and prednisone for the treatment of acute CPP crystal arthritis, using a ...
Tristan Pascart, Laurène Norberciak, Pascal Richette, Pierre Robinet, Aurore Pacaud, Gauthier Marchasson, Thibault Rabin, Hélène Luraschi, Pierre Maciejasz, Anne‐France Georgel, Augustin Latourte, Hang‐Korng Ea, Sébastien Ottaviani, Charlotte Jauffret, Vincent Ducoulombier   +14 more
wiley   +1 more source

Identificação das características associadas com a aprovação de candidatos de escolas públicas e privadas, Vestibular-2004, UFMG Identification of the factors associated with the approval of candidates from public and private schools, Vestibular-2004, UFMG

Educação em Revista, 2007
Este trabalho visa a conhecer melhor o perfil dos candidatos oriundos de escolas das redes públicas e privadas de ensino que tentaram ingressar na UFMG em 2004.
Cristiane B. Lopes, Raphael L. F. Ribeiro, Mariana G. Carvalho, Glaura C. Franco, Rosângela H. Loschi, Mauro M. Braga   +5 more
doaj   +1 more source

Serum soluble mediator signatures of lupus nephritis: histological features and response to treatment

Arthritis Care &Research, Accepted Article.
Objective Lupus nephritis (LN) management remains challenging, and novel noninvasive biomarkers are needed. This study quantified serum soluble mediators in the Accelerating Medicines Partnership (AMP) LN cohort to identify biomarkers of histological features and treatment response.
Andrea Fava, Catriona A. Wagner, Carla J. Guthridge, Susan Macwana, Wade DeJager, Melissa E. Munroe, Peter Izmirly, H. Michael Belmont, Betty Diamond, Anne Davidson, Paul J. Utz, Michael H Weisman, Philip M Carlucci, Maria Dall'Era, Kenneth Kalunian, Chaim Putterman, Jennifer Anolik, Jennifer L Barnas, David Wofsy, Diane Kamen, Richard A Furie, Deepak A Rao, the Accelerating Medicines Partnership (AMP) RA/SLE Network, Michelle Petri, Joel M. Guthridge, Jill Buyon, Judith A. James   +26 more
wiley   +1 more source

Determining cut-off values and predictors for the Snaith–Hamilton Pleasure Scale: comparison between clinical and school settings

BJPsych Open
Background Few previous studies have established Snaith–Hamilton Pleasure Scale (SHAPS) cut-off values using receiver operating characteristic curve analysis and applied these values to compare predictors of anhedonia between clinical and nonclinical ...
Yen-Chung Ho, Susan Shur-Fen Gau, Ying-Sian Wu, Chun-Hsin Chen, Jiunn-Kae Wang, Hsin-Chien Lee, Kuo-Hsuan Chung, Yi-Hang Chiu, Kah Kheng Goh, Mong-Liang Lu, Yu-Chun Lin, Pi-Chen Chang, Hsiu-Ju Chang   +12 more
doaj   +1 more source

Analytic Models of the ROC Curve: Applications to Credit Rating Model Validation [PDF]

In this paper, the authors use the concept of the population ROC curve to build analytic models of ROC curves. Information about the population properties can be used to gain greater accuracy of estimation relative to the non-parametric methods currently
Stephen Satchel, Wei Xia
core  

Biomarker selection for medical diagnosis using the partial area under the ROC curve

BMC Research Notes, 2014
BackgroundA biomarker is usually used as a diagnostic or assessment tool in medical research. Finding an ideal biomarker is not easy and combining multiple biomarkers provides a promising alternative. Moreover, some biomarkers based on the optimal linear
Man-Jen Hsu, Y. Chang, Huey-miin Hsueh
semanticscholar   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

Automated Atrial Fibrillation Detection from Electrocardiogram [PDF]

, 2019
In this study, a novel Atrial Fibrillation (AFib) detection algorithm is presented based on Electrocardiography (ECG) signals. In particular, the spectrogram of ECG signal is used as an input to a Convolutional Neural Network (CNN) to classify normal and
Lu, Senbao
core   +1 more source