Application of interpretable machine learning for early prediction
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Application of interpretable machine learning for early prediction of prognosis in acute kidney injury - ScienceDirect
Why Are We Using Black Box Models in AI When We Don't Need To? A Lesson From an Explainable AI Competition · Issue 1.2, Fall 2019
Opening the Black Box: Interpretable Machine Learning for Geneticists - ScienceDirect
Artificial intelligence in early detection and prediction of pediatric/neonatal acute kidney injury: current status and future directions
Sensors, Free Full-Text
Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation, European Journal of Medical Research
Interpretable Machine Learning Approaches for Forecasting and Predicting Air Pollution: A Systematic Review - Aerosol and Air Quality Research
Explainable Machine-Learning Model for Prediction of In-Hospital Mortality in Septic Patients Requiring Intensive Care Unit Readmission. - Abstract - Europe PMC
A robust and interpretable machine learning approach using multimodal biological data to predict future pathological tau accumulation
Explainable artificial intelligence for mental health through transparency and interpretability for understandability
Artificial intelligence in early detection and prediction of pediatric/neonatal acute kidney injury: current status and future directions
Diagnostics, Free Full-Text
Towards a comparable metric for AI model interpretability — Part 1, by Howard Yang, DSAID GovTech
Artificial intelligence in early detection and prediction of pediatric/neonatal acute kidney injury: current status and future directions
Expression rewiring and methylation of non-coding RNAs involved in rhizome phenotypic variations of lotus ecotypes - Computational and Structural Biotechnology Journal
