Research map: An Interpretable Machine Learning Framework for Pediatric Appendicitis and Peritonitis Diagnosis

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Papers in this map

  1. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI · Alejandro Barredo Arrieta · 2019 · 10061 citations · Cited by this paper
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  24. A Survey on Explainable Artificial Intelligence (XAI) Techniques for Visualizing Deep Learning Models in Medical Imaging · Deepshikha Bhati · 2024 · 108 citations · Cited by this paper
  25. Why black box machine learning should be avoided for high-stakes decisions, in brief · Cynthia D Rudin · 2022 · 102 citations · Cited by this paper
  26. Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparison · André Pfob · 2022 · 98 citations · Cited by this paper
  27. Using Machine Learning to Predict the Diagnosis, Management and Severity of Pediatric Appendicitis · Ričards Marcinkevičs · 2021 · 83 citations · Cited by this paper
  28. Artificial Intelligence and Acute Appendicitis: A Systematic Review of Diagnostic and Prognostic Models · Mahbod Issaiy · 2023 · 72 citations · Cited by this paper
  29. Ethical considerations in AI for child health and recommendations for child-centered medical AI · Seo Yi Chng · 2025 · 71 citations · Cited by this paper
  30. Beyond Post hoc Explanations: A Comprehensive Framework for Accountable AI in Medical Imaging Through Transparency, Interpretability, and Explainability · Yashbir Singh · 2025 · 66 citations · Cited by this paper
  31. E-CatBoost: An efficient machine learning framework for predicting ICU mortality using the eICU Collaborative Research Database · Nima Safaei · 2022 · 62 citations · Cited by this paper
  32. Comparison and integration of physical and interpretable AI-driven models for rainfall-runoff simulation · Sara Asadi · 2024 · 38 citations · Cited by this paper
  33. Unlocking the black box: Enhancing human-AI collaboration in high-stakes healthcare scenarios through explainable AI · Reda Hassan · 2025 · 36 citations · Cited by this paper
  34. A novel integrated logistic regression model enhanced with recursive feature elimination and explainable artificial intelligence for dementia prediction · Rasel Ahmed · 2024 · 30 citations · Cited by this paper
  35. Improved pediatric ICU mortality prediction for respiratory diseases: machine learning and data subdivision insights · Johayra Prithula · 2024 · 28 citations · Cited by this paper
  36. An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients · Krishnaraj Chadaga · 2024 · 19 citations · Cited by this paper
  37. A comparative study of explainable machine learning models with Shapley values for diabetes prediction · Keona Pang · 2025 · 18 citations · Cited by this paper
  38. Artificial intelligence for the diagnosis of pediatric appendicitis: A systematic review · Mariam Chekmeyan · 2025 · 18 citations · Cited by this paper
  39. Interpretable machine learning model for predicting acute kidney injury in critically ill patients · Xunliang Li · 2024 · 15 citations · Cited by this paper

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