Research map: Predicting Type 2 and gestational diabetes with balanced and explainable machine learning models

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  1. XGBoost · Tianqi Chen · 2016 · 53618 citations · Cited by this paper
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  15. Explanation of machine learning models using shapley additive explanation and application for real data in hospital · Yasunobu Nohara · 2021 · 1077 citations · Cited by this paper
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  17. Type 2 diabetes mellitus prediction model based on data mining · Han Wu · 2017 · 398 citations · Cited by this paper
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  19. A machine learning-based framework to identify type 2 diabetes through electronic health records · Tao Zheng · 2016 · 374 citations · Cited by this paper
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  21. Intelligible Support Vector Machines for Diagnosis of Diabetes Mellitus · Nahla Barakat · 2010 · 372 citations · Cited by this paper
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  23. Prediction of Diabetes Empowered With Fused Machine Learning · Usama Ahmed · 2022 · 292 citations · Cited by this paper
  24. Prediction of Type 2 Diabetes Based on Machine Learning Algorithm · Henock M. Deberneh · 2021 · 260 citations · Cited by this paper
  25. Machine learning and deep learning predictive models for type 2 diabetes: a systematic review · Luis Fregoso-Aparicio · 2021 · 197 citations · Cited by this paper
  26. A diabetes prediction model based on Boruta feature selection and ensemble learning · Hongfang Zhou · 2023 · 185 citations · Cited by this paper
  27. A Smart Healthcare Recommendation System for Multidisciplinary Diabetes Patients with Data Fusion Based on Deep Ensemble Learning · Baha Ihnaini · 2021 · 148 citations · Cited by this paper
  28. Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data · Hiroe Seto · 2022 · 134 citations · Cited by this paper
  29. A review on current advances in machine learning based diabetes prediction · Varun K. Jaiswal · 2021 · 124 citations · Cited by this paper
  30. Explaining the Success of Nearest Neighbor Methods in Prediction · George H. Chen · 2018 · 104 citations · Cited by this paper
  31. Evaluation of Machine Learning Methods Developed for Prediction of Diabetes Complications: A Systematic Review · Kuo Ren Tan · 2021 · 95 citations · Cited by this paper
  32. Explainable machine learning methods for predicting water treatment plant features under varying weather conditions · Mohammed Al Saleem · 2024 · 74 citations · Cited by this paper
  33. Identifying top ten predictors of type 2 diabetes through machine learning analysis of UK Biobank data · Moa Lugner · 2024 · 73 citations · Cited by this paper
  34. RETRACTED ARTICLE: Diabetes prediction model using machine learning techniques · Sandip Kumar Singh Modak · 2023 · 63 citations · Cited by this paper
  35. Artificial Intelligence-based Learning Techniques for Diabetes Prediction: Challenges and Systematic Review · Surabhi Kaul · 2020 · 57 citations · Cited by this paper
  36. A stacked ensemble machine learning approach for the prediction of diabetes · Khondokar Oliullah · 2023 · 45 citations · Cited by this paper
  37. Explainable deep learning for diabetes diagnosis with DeepNetX2 · Sharia Arfin Tanim · 2024 · 39 citations · Cited by this paper
  38. Diabetes emergency cases identification based on a statistical predictive model · Kebira Azbeg · 2022 · 35 citations · Cited by this paper
  39. Hybrid feature selection and classification technique for early prediction and severity of diabetes type 2 · Praveen Talari · 2024 · 34 citations · Cited by this paper

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