Vol. 4 No. 1 (2026): International Journal of Artificial Intelligence in Medical Issues

The articles in this issue (7 Original Articles) were authored or co-authored by 24 unique authors from one country, Indonesia, and represented 19 affiliations: Universitas Almarisah Madani; Politeknik Negeri Batam; Universitas Palangka Raya; Politeknik Negeri Kupang; Universitas Islam Negeri Raden Intan Lampung; Politeknik Negeri Jember; Universitas Islam Sultan Agung Semarang; Universitas Megarezky; STIMIK El Rahma Yogyakarta; Universitas Trilogi; Politeknik Negeri Banjarmasin; Universitas Bina Darma; Universitas Sembilanbelas November Kolaka; Universitas Teknologi Yogyakarta; Institut Bisnis dan Teknologi Indonesia; Universitas Teknologi Digital Indonesia; Universitas Ahmad Dahlan; Institut Teknologi dan Bisnis STIKOM Ambon; and Universitas Jenderal Achmad Yani Yogyakarta.

DOI: https://doi.org/10.56705/61zeaf69

Published: 2026-05-30

Articles

Explainable Machine Learning for Predicting the Mental Health Impact of AI and Digital Platform Usage among Students

Agus Halid, Dwi Amalia Purnamasari, Ade Chandra Saputra, Nicodemus Mardanus Setiohardjo

1-18
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Leakage-Aware and Explainable Machine Learning for Healthcare Claim Fraud Detection Using Imbalanced Medical Insurance Data

Dian Hafidh Zulfikar, Ery Setiyawan Jullev Atmadji, Bagus Satrio Wahyu Poetro

19-34
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Confidence-Aware Depression Severity Detection in Low-Resource Urdu Social Media Text: A Multilingual Machine Learning Approach

Ahmad Naswin, Yuli Praptomo Pamungkas Hari Sungkowo

35-53
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Depression Risk Prediction Among Teenagers Using Explainable Machine Learning and Imbalanced Behavioral Data

Rudi Setiawan, Effan Najwaini, Rezania Agramanisti Azdy, Rasmiati Rasyid

54-71
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Machine Learning-Based Clustering of Viruses Using Taxonomic and Genomic Features for Health Informatics Applications

Adityo Permana Wibowo, Made Leo Radhitya, Edi Faizal, Ika Arfiani

72-92
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A Comparative Study of Machine Learning Models for Stress Level Classification Using Social Media and Lifestyle Data

M. Ikbal Siami, Aris Wahyu Murdiyanto, Sumiyatun

93-109
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Gender-Aware Prediction of Liver Disease Using Machine Learning and Clinical Laboratory Data

Umar Zaky, Muhammad Habibi, Adri Priadana, Thomas Edyson Tarigan

110-130
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Vol. 4 No. 1 (2026): International Journal of Artificial Intelligence in Medical Issues

Articles

Explainable Machine Learning for Predicting the Mental Health Impact of AI and Digital Platform Usage among Students

Leakage-Aware and Explainable Machine Learning for Healthcare Claim Fraud Detection Using Imbalanced Medical Insurance Data

Confidence-Aware Depression Severity Detection in Low-Resource Urdu Social Media Text: A Multilingual Machine Learning Approach

Depression Risk Prediction Among Teenagers Using Explainable Machine Learning and Imbalanced Behavioral Data

Machine Learning-Based Clustering of Viruses Using Taxonomic and Genomic Features for Health Informatics Applications

A Comparative Study of Machine Learning Models for Stress Level Classification Using Social Media and Lifestyle Data

Gender-Aware Prediction of Liver Disease Using Machine Learning and Clinical Laboratory Data

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