22 papers · ranked by Valyu relevance
Bradley Malin, Khaled El Emam, Urjoshi Sinha, Silvia Figini + 2 more
Cross-validation remains a popular means of developing and validating artificial intelligence for health care. Numerous subtypes of cross-validation exist. Although tutorials on this validation strategy have been published and some with applied examples, we present here a practical tutorial comparing multiple forms of…
Abdullah Aldemir
Background Digital addiction in adolescents is often conceptualized as a latent construct, masking the complex interplay between specific symptoms and psychological resources. This study aims to map the specific symptom-level interactions between digital addiction (Social Media Addiction, Nomophobia) and cognitive…
Janik Goltermann, Nils R. Winter, Marius Gruber, Lukas Fisch + 32 more
Statistical effect sizes are systematically overestimated in small samples, leading to poor generalizability and replicability of findings in all areas of research. Due to the large number of variables, this is particularly problematic in neuroimaging research. While cross-validation is frequently used in multivariate…
Tianchu Zeng, Hetu Li, Shaoshi Zhang, Yan Quan Tan + 40 more
Machine learning is accelerating biomedical research. Cross-validation is widely used to compare predictive performance - not only to benchmark algorithms, but also to inform scientific applications, such as ranking biomarkers. However, prediction performance estimates across cross-validation folds are not independent.…
Nina Schmelter, Benedikt Langenberg, Axel Mayer, Tobias Heed
The tactile temporal order judgment (TOJ) task is widely used in multisensory neuroscience. Participants judge which of two tactile stimuli, one on each hand, came first. A key finding is that TOJ performance declines when the arms are crossed, likely due to interactions between tactile, proprioceptive, and visual…
Authors not listed
Accurate solubility prediction in supercritical carbon dioxide (scCO2) is crucial for optimizing experimental design by eliminating unnecessary and costly trials at an early stage, thereby streamlining the workflow. A comprehensive solubility database containing 31975 records has been compiled, providing a foundation…
Zexiang Li, Donna Spiegelman, Molin Wang, Zuoheng Wang + 1 more
In epidemiology, obtaining accurate individual exposure measurements can be costly and challenging. Thus, these measurements are often subject to error. Regression calibration with a validation study is widely employed as a study design and analysis method to correct for measurement error in the main study due to its…
Prashanth Athri, Vidhya Murali, Pradyumna Y Muralidhar, Cassandra Königs + 4 more
- 1. Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India - 2. PES Center for Pattern Recognition, Department of Computer Science and Engineering, PES University, Bengaluru, India - 3. Bioinformatics and Medical Informatics, Bielefeld University…
Ryan Cory-Wright, Andrés Gómez
We revisit the problem of ensuring strong test-set performance via cross-validation. Motivated by the generalization theory literature, we propose a nested k-fold crossvalidation scheme that selects hyperparameters by minimizing a weighted sum of the usual cross-validation metric and an empirical model-stability…
Nina Schmelter, Benedikt Langenberg, Axel Mayer, Tobias Heed
The tactile temporal order judgment (TOJ) task is widely used in multisensory neuroscience. Participants judge which of two tactile stimuli, one on each hand, came first. A key finding is that TOJ performance declines when the arms are crossed, likely due to interactions between tactile, proprioceptive, and visual…
Yunjae Hwang, Catherine Gorlé
Natural ventilation is gaining popularity in response to an increasing demand for a sustainable and healthy built environment, but the design of a naturally ventilated building can be challenging due to the inherent variability in the operating conditions that determine the natural ventilation flow. Large-eddy…
Florian D. van Leeuwen, Ewout W. Steyerberg, David van Klaveren, Ben Wessler + 2 more
Model Authors: ['Florian D. van Leeuwen' 'Ewout W. Steyerberg' 'David van Klaveren' 'Ben Wessler' 'David M. Kent' 'Erik W. van Zwet'] Background External validations are essential to assess the performance of a clinical prediction model (CPM) before deployment. Apart from model misspecification, also differences in…
Yanzhao Qian, Dinghao Wang, Qi Xuan Ding, Matthew Greenberg + 1 more
Cross-validation (CV) is a widely used technique in statistical learning for model evaluation and selection. Meanwhile, various of statistical learning methods, such as Generalized Least Square (GLS), Linear Mixed-Effects Models (LMM), and regularization methods are commonly used in genomic predictions, a field that…
Franziska Meinck, Lakshmi Neelakantan, Bridget Steele, Janina Jochim + 4 more
'Lynn M. Davies' 'Mark Boyes' 'Jane Barlow' 'Michael Dunne'] Research on violence against children (VAC) requires meaningful, valid, and reliable self-report by children. Many instruments have been used globally and decisions to select suitable measures are complex. This review identifies child and adolescent…
Tieu-Long Phan, Hoang-Son Lai Le, Gia-Bao Truong, The-Chuong Trinh + 4 more
HIV-1 (Human immunodeficiency virus-1) has been causing severe pandemics by attacking the immune system of its host. Left untreated, it can lead to AIDS (acquired immunodeficiency syndrome), where death is inevitable due to opportunistic diseases. Therefore, discovering new antiviral drugs against HIV-1 is crucial.…
Bryan Cai, Fabio Pellegrini, Menglan Pang, Carl de Moor + 3 more
'Changyu Shen' 'Vivek Charu' 'Lü Tian'] Cross-validation is a widely used technique for evaluating the performance of prediction models. It helps avoid the optimism bias in error estimates, which can be significant for models built using complex statistical learning algorithms. However, since the cross-validation…
Giuseppe Gallitto, Robert Englert, Balint Kincses, Raviteja Kotikalapudi + 4 more
Multivariate predictive models play a crucial role in enhancing our understanding of complex biological systems and in developing innovative, replicable tools for translational medical research. However, the complexity of machine learning methods and extensive data pre-processing and feature engineering pipelines can…
Xuan-Truc Dinh Tran, Tieu-Long Phan, Van-Thinh To, Ngoc-Vi Nguyen Tran + 4 more
3D pharmacophore models describe the ligand’s chemical interactions in their bioactive conformation. They offer a simple but sophisticated approach to decipher the chemically encoded ligand information, making them a valuable tool in Drug Design. Our research summarized the key studies for applying 3D pharmacophore…
Maria Cuellar, Susan VanderPlas, Amanda Luby, Michael Rosenblum
Comparisons Authors: ['Maria Cuellar' 'Susan VanderPlas' 'Amanda Luby' 'Michael Rosenblum'] Reviews conducted by the National Academy of Sciences (2009) and the President's Council of Advisors on Science and Technology (2016) concluded that the field of forensic firearm comparisons has not been demonstrated to be…
Authors not listed
Machine learning holds significant promise for accelerating biomarker discovery in clinical proteomics, yet its real-world impact remains limited by widespread methodological pitfalls and unrealistic expectations. In this perspective, we critically examine the integration of machine learning into clinical proteomics…
Authors not listed
Background: Janus Kinase 2 (JAK2) is a key kinase in cellular signal transduction. Its abnormal activation is closely related to various myeloproliferative neoplasms and inflammatory diseases. Developing selective JAK2 inhibitors is an important direction in drug discovery. Accurate prediction of compound inhibitory…
Carmen Ximénez, Javier Revuelta, Raúl Castañeda
Bifactor latent models have gained popularity and are widely used to model construct multidimensionality. When adopting a confirmatory approach, a common practice is to assume that all cross-loadings take zero values. This article presents the results of a simulation study exploring the impact of ignoring non-zero…