INTERPRETABLE CLINICAL VISUALIZATION MODEL FOR PREDICTION OF PROGNOSIS IN OSTEOSARCOMA: A LARGE COHORT DATA STUDY

Interpretable clinical visualization model for prediction of prognosis in osteosarcoma: a large cohort data study

BackgroundCurrently, the clinical prediction model for patients with osteosarcoma was almost developed from single-center data, lacking external validation.Due to their low reliability and low predictive power, there were few clinical applications.Our study aimed to set up a clinical prediction model with stronger predictive ability, credibility, a

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Automatic Identification for the Boundaries of InSAR Anomalous Deformation Areas Based on Semantic Segmentation Model

Interferometric synthetic aperture radar (InSAR) technology has become one of the mainstream techniques for active landslide identification over a large area.However, read more the method for interpreting anomalous deformation areas derived from InSAR data is still mainly manual delineation through human–computer interaction.This study focuses on

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Making it their idea: The Learning Cycle in library instruction

http://www.flickr.com/photos/penguinchris/ / CC BY-NC-ND 2.0 Librarians Supplies are always struggling to convince someone of something: convincing voters to say ‘yes’ to a library bond; persuading a library director to invest in a text-messaging reference tool; trying to get students to use library resources instead of Google.One of the most e

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