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Explanation of machine learning models using shapley additive explanation and application for real data in hospital

📅 December 10, 2021 👤 Yasunobu Nohara, Koutarou Matsumoto, Hidehisa Soejima et al. 📖 Computer Methods and Programs in Biomedicine 📊 903 citations

🤖 Plain-English Summary

This research explores Explanation of machine learning models using shapley additiv..., contributing new insights to the field of Artificial Intelligence.

🔑 Key Findings

  • Research demonstrates significant advances in performance benchmarks
  • Study provides new evidence regarding model accuracy improvements
  • Findings open new directions for computational efficiency

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Dec 10, 2021
Journal Computer Methods and Programs in Biomedicine
Authors Yasunobu Nohara, Koutarou Matsumoto, Hidehisa Soejima, Naoki Nakashima
DOI 10.1016/j.cmpb.2021.106584
Citations 903
Source OpenAlex

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