Vol. 3 No. 2 (2025): International Journal of Artificial Intelligence in Medical Issues

View Vol. 3 No. 2 (2025): International Journal of Artificial Intelligence in Medical Issues

The articles in this issue (7 articles) were authored/co-authored by 20 unique authors from 2 countries and 15 affiliations.

Countries: ID flag ID, PK flag PK

Affiliations: ITB STIKOM Bali; Politeknik Negeri Jember; Politeknik Negeri Kupang; Punjab Institute of Neurosciences; Syiah Kuala University; Universitas Islam Negeri Raden Intan Lampung; Universitas Islam Sultan Agung; Universitas Megarezky Makassar; Universitas Muslim Indonesia; Universitas Negeri Malang; Universitas Pendidikan Ganesha; Universitas Teknologi Digital Indonesia; Universitas Teknologi Yogyakarta; Universitas Udayana; University of Punjab Lahore

DOI: https://doi.org/10.56705/ijaimi.v3i2

Published: 2025-11-30

Articles

Predicting Cardiovascular Disease Using Machine Learning: A Feature Engineering and Model Comparison Approach

Bagus Satrio Waluyo Poetro, Dian Hafidh Zulfikar, I Made Sunia Raharja, Nicodemus Mardanus Setiohardjo

69-78
- PDF
Comparative Machine Learning Models for Dementia Prediction Using SMOTE

Rahma Puspitasari, Tazkirah Amaliah, Herdianti Darwis

79-90
- PDF
Machine Learning-Based Prediction of HIV/AIDS Infection and Treatment Effectiveness: A Clinical Dataset Analysis

Agus Aan Jiwa Permana, I Gusti Ngurah Wikranta Arsa, Ahmad Naswin, Sumiyatun

91-101
- PDF
Comparative Study of Machine Learning Methods for Disease Classification Based on Natural Language Symptom Descriptions

Ery Setiyawan Jullev Atmadji, Adityo Permana Wibowo, Edi Faizal

102-109
- PDF
Hybrid Feature Benchmark for Blood Cell Classification Using ResNet50 and EfficientNetV2 Features with SVM and ANN Classifiers via Unsupervised Segmentation

Ahmad Kholish Fauzan Shobiry, Rahma Puspitasari

110-126
- PDF
Optimizing Air Quality Index Classification Using Multiple Machine Learning Models and Oversampling Techniques

Nuwairy El Furqany

127-141
- PDF
A Comprehensive Review of Automated Techniques for Brain Stroke Classification

Saba Inam, Zobia Suhail, Saira Bilal

142-188
- PDF