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Systemic lupus erythematosus damage risk index (SLE-DRI): a simple machine learning-based tool for identifying patients at risk for early organ damage

Objective Organ damage is a key determinant of poor prognosis and increased mortality in systemic lupus erythematosus (SLE).
McKnight's Long-Term Care News

Simple screening questionnaires better for identifying social needs compared to advanced machine learning, study determines

Simple patient screening questionnaires addressing five different health-related social needs performed better than advanced machine learning methods at tracking HRSNs ...

AI model automates detection of developmental abnormalities in zebrafish embryos

CISPA researcher Sarath Sivaprasad, together with Hui-Po Wang and Mario Fritz from CISPA and other colleagues from HIPS, has ...

JD YUANSHENG AI Risk Identification Patent: Machine Learning Enhances Financial Risk Control Efficiency

Recently, Beijing JD Yuansheng Technology Co., Ltd. applied for a patent titled "Method and Device for Identifying Risk Payments," which has attracted industry attention. The core of this patent lies ...

Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to cleaning ingredients (handling missing values, standardization) Model ...