Jurnal
Integration of Random Forest, ADASYN, and SHAP for Diabetes Prediction and Interpretation
Scientific Journal of Informatics · Vol. 12 No. 2 (2025) · hlm. 211–222
- ISSN
- 2407-7658, 2460-0040
- Terbit
- 2025-06-23
- Penerbit
- Universitas Negeri Semarang
- Bahasa
- eng
Abstrak
Purpose: Diabetes is a chronic disease with a globally rising prevalence. Early detection of individuals at risk is essential to prevent long-term complications. This study aims to develop a diabetes prediction model that not only achieves high classification accuracy but also provides transparent explanations of the factors influencing its predictions. Methods: The study utilized the Pima Indians Diabetes Dataset, which contains clinical data from 768 female patients aged over 21. The methodology included data preprocessing (handling of missing values and feature engineering, such as the creation of Age_BMI and Glucose_BMI features), a 70:30 train-test split, class imbalance handling using the ADASYN technique, model development using the Random Forest algorithm with hyperparameter tuning via GridSearchCV, and model interpretability analysis using SHAP. Result: The proposed model achieved an accuracy of 79.2% and a recall of 85.2% on the test data. SHAP analysis revealed that Glucose, Age_BMI, BMI, and DiabetesPedigreeFunction were the most influential features in predicting diabetes. Furthermore, the SHAP heatmap indicated that individuals aged 30–50 years with obesity were at the highest risk. These findings align with existing medical literature, reinforcing the role of metabolic and age-related factors in diabetes development. Novelty: This study presents an integrative approach combining class balancing (ADASYN), classification (Random Forest), and model interpretability (SHAP) in a unified framework for diabetes prediction. It emphasizes the importance of transparent model interpretation for healthcare professionals, enabling not only predictive outcomes but also actionable insights into risk factors. The findings support future research opportunities, including the integration of lifestyle variables and external validation using real-world clinical data from diverse populations.
Kata kunci
Jaringan kolaborasi para penulis
40 penulis · 95 tautan kepenulisan bersama · 33 lintas organisasi · menampilkan 40 yang paling banyak terhubung
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- Universitas Hang Tuah
- Diponegoro University
- Institut Agama Islam An-Nawawi Purworejo
- University of Brawijaya
- Sekolah Tinggi Agama Buddha Negeri Raden Wijaya Wonogiri
- University of Bangka Belitung
- Universitas Jambi
- Organisasi lain
- Afiliasi tidak diketahui
- Organisasi berbeda
- Organisasi sama
- Afiliasi tidak diketahui
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Tampilkan sebagai tabel
| Rekan penulis | Organisasi | Artikel bersama |
|---|---|---|
| Robert Tambun | Afiliasi tidak diketahui | 2 |
| Hadi Prasutiyon | Afiliasi tidak diketahui | 2 |
| Robert Tambun | Universitas Hang Tuah | 2 |
| Hadi Prasutiyon | Universitas Hang Tuah | 2 |
| Hima Sakina Firdhausy | Afiliasi tidak diketahui | 2 |
| Fatmawati - Fatmawati | Gunadarma University | 2 |
| Dian Eka Ratnawati | University of Brawijaya | 1 |
| Rozaq Akbar | University of Brawijaya | 1 |
| Khoirun Nisa’ | Institut Agama Islam An-Nawawi Purworejo | 1 |
| Bagus Panuntun | Afiliasi tidak diketahui | 1 |
| Fikri Irfan Adristi | Afiliasi tidak diketahui | 1 |
| Sutrisno Sutrisno | Universitas Hang Tuah | 1 |
| Sutrisno Sutrisno | Universitas PGRI Semarang | 1 |
| Lery Prasetyo | Sekolah Tinggi Agama Buddha Negeri Raden Wijaya Wonogiri | 1 |
| Metta Puspita Dewi | Sekolah Tinggi Agama Buddha Negeri Raden Wijaya Wonogiri | 1 |
| Dwi Purwanti | Afiliasi tidak diketahui | 1 |
| Dwi Haryadi | University of Bangka Belitung | 1 |
| Jeanne Darc Noviayanti Manik | University of Bangka Belitung | 1 |
| Abdul Kadir | Universitas Halu Oleo | 1 |
| Froilan Delute Mobo | Philippine Merchant Marine Academy | 1 |
| Galih Wisnu Wardhana | Universitas Dharma AUB Surakarta | 1 |
| Yusnaidar Yusnaidar | Universitas Jambi | 1 |
| Lizawati Lizawati | Afiliasi tidak diketahui | 1 |
| Elis Kartika | Afiliasi tidak diketahui | 1 |
| Indra Lasmana Tarigan | Afiliasi tidak diketahui | 1 |
| Madyawati Latief | Afiliasi tidak diketahui | 1 |
| Muhammad Irhash Shalihin | Afiliasi tidak diketahui | 1 |
| Adzuan Handi Duansyah | Afiliasi tidak diketahui | 1 |
| Samsidar Samsidar | Afiliasi tidak diketahui | 1 |
| Kurniawan Kurniawan | Khairun University | 1 |
| Tezza Adriansyah Anwar | Universitas Jenderal Achmad Yani | 1 |
| Anik Sarwanti | Universitas Widyatama | 1 |
| Syamsurizal Syamsurizal | Universitas Jambi | 1 |
| Lendriadi Lendriadi | Afiliasi tidak diketahui | 1 |
| Linda Tunaerah | Universitas Pasundan | 1 |
| Hasan Baharun | Universitas Nurul Jadid | 1 |
| Heny Mulyani | Sunan Gunung Djati State Islamic University Bandung | 1 |
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