Tag: Machine Learning models
Browse our exclusive articles!
Credgenics Secures $50M Funding for Global Expansion and Product Innovation, India
Credgenics raises $50M in Series-B funding, reaching a valuation of $340M. The debt resolution platform plans for expansion and innovation in BFSI.
Child Self-Harm Risk Detection Improved: UCLA Health Study
Improved child self-harm risk detection: UCLA Health study reveals promising results in identifying at-risk children using machine learning models.
New Study Finds Machine Learning Models Improve Detection of Self-Harm Risk in Children
New Study Finds Machine Learning Models Improve Identification of Children at Risk of Self-Harm. UCLA researchers developed effective methods to detect at-risk children. Read more.
New Study Reveals Hidden Risks of Self-Harm in Children, Leading to Breakthrough in Detection, United States (US)
Current data storage and tracking methods fail to identify children at risk of self-harm, according to a study by UCLA Health. Machine learning models developed by researchers were more effective at detecting self-injurious thoughts or behaviors. This breakthrough highlights the limitations of current risk-prediction models, urging health systems to reevaluate their approach and leverage machine learning for improved detection. #YouthMentalHealth
CMU Researchers Introduce Zeno: A Framework for Evaluating Machine Learning Model Behavior
Introducing Zeno: A framework for evaluating ML models. Simplify behavioral evaluation and address model flaws. Join now!