Results 181 to 190 of about 13,846 (260)

Do Rivals' Trade Secret Protections Affect a Firm's Trade Credit? Evidence From the Inevitable Disclosure Doctrine

open access: yesEuropean Financial Management, EarlyView.
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

Personalized machine learning prediction of next‐day migraine persistence using digital headache diary data

open access: yesHeadache: The Journal of Head and Face Pain, EarlyView.
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]

open access: yesSci Rep
Malhat MG   +4 more
europepmc   +1 more source

General Dental Practitioners' and Dental Hygienists' Perspectives on the Dutch Guideline for Periodontal Screening, Diagnostics, and Treatment in General Practice

open access: yesInternational Journal of Dental Hygiene, EarlyView.
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

Machine Learning‐Based Prediction of Dental Caries in 12‐Year‐Old Adolescents: A Nationwide Cross‐Sectional Study in Korea

open access: yesInternational Journal of Dental Hygiene, EarlyView.
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

Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis

open access: yesInternational Endodontic Journal, EarlyView.
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

Home - About - Disclaimer - Privacy