Results 181 to 190 of about 13,846 (260)
ABSTRACT Using the staggered adoption of the Inevitable Disclosure Doctrine (IDD) across U.S. states, this study examines whether legal protection of trade secrets granted to a firm's rivals affects the firm's trade credit when it is not similarly protected.
Yi Shi, Haiyan Jiang
wiley +1 more source
MBUCF: a cross-fusion method for multimodal breast ultrasound based on multidimensional features. [PDF]
Li Y, Liu R, Wei X.
europepmc +1 more source
Abstract Objectives/Background Migraine is a disabling neurological disorder with substantial interindividual variability. Predicting whether an ongoing migraine attack will persist into the following day remains challenging. We evaluated the feasibility and predictive performance of personalized machine learning models for predicting next‐day migraine
Ya‐Hsiu Tsai +7 more
wiley +1 more source
An approach for handling imbalanced datasets using borderline shifting. [PDF]
Malhat MG +4 more
europepmc +1 more source
ABSTRACT Objectives In January 2021, the guideline ‘Periodontal Screening, Diagnosis, and Treatment in General Practice’ was introduced as a successor to the ‘Perio Protocol’. Simultaneously, the screenings tool ‘Dutch Periodontal Screening Index’ (DPSI) was replaced by the ‘Periodic Periodontal Screening’ (PPS).
J. C. L. den Boer +3 more
wiley +1 more source
Credit risks in long-term care: a novel assessment of private long-term care institutions for sustainable development under the silver economy in China. [PDF]
Gu Z +4 more
europepmc +1 more source
ABSTRACT Objective We aimed to develop and evaluate machine learning models to support population‐level risk stratification for dental caries in the permanent dentition of 12‐year‐old Korean children and to visualise the relative importance of key predictors.
Gahyun Cho +4 more
wiley +1 more source
Marketing analytics in banking 4.0: A two-stage explainable AI framework for high-accuracy and well-calibrated predictions. [PDF]
Nasir F +3 more
europepmc +1 more source
Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis
ABSTRACT Aim Postoperative pain is a frequent clinical concern following endodontic treatment. This study aimed to develop and validate supervised machine learning models to predict the occurrence of postoperative pain in cases of irreversible pulpitis.
Pedro Felipe de Jesus Freitas +9 more
wiley +1 more source

