In recent years, machine learning methods have become increasingly popular prediction methods in psychology. At the same time, psychological researchers are typically not only interested in making predictions about the dependent variable, but also in...
The Q-matrix, which specifies the relationship between items and attributes, is a crucial component of cognitive diagnostic models (CDMs). A precisely specified Q-matrix allows for valid cognitive diagnostic assessments. In practice, a Q-matrix is us...
Journal of personality and social psychology
May 25, 2023
This research examines whether the phenomenon of nominative determinism (a name-driven outcome) exists in the real world. Nominative determinism manifests as a preference for a profession or city to live in that begins with the same letter as a perso...
OBJECTIVES: Current state-of-the-art natural language processing (NLP) techniques use transformer deep-learning architectures, which depend on large training datasets. We hypothesized that traditional NLP techniques may outperform transformers for sm...
Robot-assisted thoracoscopic surgery for the treatment of thoracic outlet syndrome is a novel approach that continues to increase in popularity due to advantages compared with traditional open first rib resection. Following publication of the Society...
International journal of medical informatics
May 25, 2023
BACKGROUND: As diagnostic and prognostic models developed by traditional statistics perform poorly in real-world, artificial intelligence (AI) and Big Data (BD) may improve the supply chain of heart transplantation (HTx), allocation opportunities, co...
Journal of applied clinical medical physics
May 25, 2023
PURPOSE: To evaluate deep learning (DL)-based deformable image registration (DIR) for dose accumulation during radiotherapy of prostate cancer patients.
The suggestion that the systemic immune response in lymph nodes (LNs) conveys prognostic value for triple-negative breast cancer (TNBC) patients has not previously been investigated in large cohorts. We used a deep learning (DL) framework to quantify...
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