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All Journal Jambura Journal of Health Sciences and Research Jurnal Kesehatan Masyarakat
Kie, Justin
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Biochemistry, Genetics & Molecular Biology Education Health Professions Medicine & Pharmacology Nursing Public Health

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Artificial Intelligence in Type II Diabetes Mellitus: Screening, Treatment, and Complication Lians, Airine Stefanie; Tunru, Andi Miyanza Rezkyawan Lakipadada; Chindia, Chindia; Prasetyo, Juan Alexandra; Kie, Justin; Christian, Raffael; Sean, Sherlyn; Larasati, Victoria; Yen, Liauw Djai
Jurnal Kesehatan Masyarakat Vol. 20 No. 4 (2025)
Publisher : Universitas Negeri Semarang in collaboration with Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI Tingkat Pusat) and Jejaring Nasional Pendidikan Kesehatan (JNPK)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/kemas.v20i4.1138

Abstract

Type II diabetes mellitus is one of the chronic metabolic diseases that are associated with insulin resistance. Type II diabetes mellitus incidence continues to increase each year and may cause various health complications, even death. Addressing early detection and appropriate treatment is important in decreasing the incidence of type II diabetes mellitus and improving the quality of life in diabetic patients. The potential of artificial intelligence in healthcare is expected to assist in screening, therapy management, and even detection of type II diabetes mellitus complications. Despite limited literature, this study aims to understand the benefit of AI in assisting health workers in screening and managing type II diabetes mellitus. Searches are conducted with search engines, such as PubMed, Science Direct, and Google Scholar, with the keywords “Artificial Intelligence” and “Diabetes Mellitus Type 2”, as well as their synonyms. The search results in twenty English and Indonesian studies were published in the last ten years. These various studies found that many Artificial intelligence models developed to assist in screening, therapy management, and detect complications in patients with type II diabetes mellitus.
INDEKS MASSA TUBUH (IMT) DAN WAIST TO HEIGHT RATIO (WHTR) SEBAGAI PREDIKTOR PREHIPERTENSI: KAJIAN PADA MAHASISWA KEDOKTERAN DI JAKARTA Kie, Justin; Vetinly, Vetinly; Astiarani, Yunisa; Santi, Bryany Titi
Jambura Journal of Health Sciences and Research Vol 6, No 4 (2024): OKTOBER: JAMBURA JOURNAL OF HEALTH SCIENCES AND RESEARCH
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35971/jjhsr.v6i4.20209

Abstract

Hipertensi penyakit yang sering kali tidak terdeteksi di masyarakat. Mendeteksi hipertensi sejak fase prehipertensi sangat diperlukan agar tidak berlanjut menjadi komplikasi yang lebih berat. Obesitas merupakan salah satu faktor resiko dari hipertensi yang dapat dinilai dari IMT dan WHtR. Kebaruan penelitian ini mencari hubungan antara IMT dan WHtR terhadap prehipertensi pada mahasiswa laki-laki kedokteran. Tujuan penelitian ini mencari hubungan antara IMT dan WHtR terhadap prehipertensi pada mahasiswa laki-laki kedokteran. Penelitian observasional analitik dengan studi potong lintang. Responden berasal dari mahasiswa preklinik laki-laki FKIK UAJ dengan pengambilan sampel secara acak berstrata. Pengambilan data responden dilakukan dengan menggunakan kuesioner penelitian. Data dianalisis secara univariat dan bivariat menggunakan metode uji Chi-Square. Hasil dari 74 responden, sebanyak 28,4% responden dengan normotensi dan 71,6% responden dengan prehipertensi dan hipertensi. Berdasarkan IMT didapatkan 59,5% underweight dan normal, 40,5% overweight dan obesitas. Berdasarkan WHtR didapatkan sebanyak 41,9% tidak ada peningkatan resiko dan 58,1% resiko tinggi. Hasil analisis bivariat menunjukkan adanya hubungan yang signifikan antara IMT dan WHtR terhadap prehipertensi (P-value 0,02, P-value 0,038). Kesimpulan pada penelitian ini, didapatkan hubungan yang bermakna antara IMT dan WHtR terhadap prehipertensi pada mahasiswa kedokteran preklinik laki-laki.
Co-Authors Chindia, Chindia Christian, Raffael Larasati, Victoria Lians, Airine Stefanie Prasetyo, Juan Alexandra Santi, Bryany Titi Sean, Sherlyn Tunru, Andi Miyanza Rezkyawan Lakipadada Vetinly, Vetinly Yen, Liauw Djai Yunisa Astiarani