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p-Index From 2019 - 2024
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This Author published in this journals
All Journal Infolitika Journal of Data Science Indonesian Journal of Case Reports
Raihan Raihan
Department of Child Health, dr. Zainoel Abidin General Hospital, Banda Aceh 24415, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Health Professions Medicine & Pharmacology Neuroscience Public Health

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Maternal Health Risk Detection Using Light Gradient Boosting Machine Approach Teuku Rizky Noviandy; Sarah Ika Nainggolan; Raihan Raihan; Isra Firmansyah; Rinaldi Idroes
Infolitika Journal of Data Science Vol. 1 No. 2 (2023): December 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijds.v1i2.123

Abstract

Maternal health risk detection is crucial for reducing morbidity and mortality among pregnant women. In this study, we employed the Light Gradient Boosting Machine (LightGBM) model to identify risk levels using data from rural healthcare facilities. The dataset included key health indicators aligned with the United Nations Sustainable Development Goals. The LightGBM model underwent rigorous optimization through hyperparameter tuning and 10-fold cross-validation. Its predictive performance was benchmarked against other algorithms using accuracy, precision, recall, and F1-score, with feature importance assessed to identify critical risk predictors. The LightGBM model demonstrating the highest performance across all metrics. The results underscore the value of advanced machine learning techniques in public health. Future research directions include expanding the demographic scope, incorporating temporal data, and enhancing model transparency. This study highlights the transformative potential of machine learning in maternal healthcare, providing a foundation for improved risk detection and proactive healthcare interventions.
Liver Involvement During Flare-ups in Pediatric SLE: Lupus Hepatitis vs. Other Causes Adelia Anggraini Utama; Priyanti Kisworini; Raihan Raihan
Indonesian Journal of Case Reports Vol. 1 No. 1 (2023): August 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijcr.v1i1.48

Abstract

Systemic lupus erythematosus (SLE) is an autoimmune disease characterized by production of autoantibodies that can affect multiorgan of the body, including the liver. Liver dysfunction is not part of the SLE classification criteria and rarely found compared to other organs. In patient with SLE with liver involvement signed by abnormal liver enzyme should consider whether it is SLE-associated hepatitis, known as lupus hepatitis, or cause by other entities such as drug-induced hepatitis, or a primary liver disease such as viral hepatitis and autoimmune hepatitis condition that coexisting with SLE. We are reporting a 13-year-old boy that has been diagnosed with SLE who had flare since he discontinued his medication by himself. He presented with jaundice, alopecia, oral ulcers, pale and malaise. Laboratory examination showed anemia, thrombocytopenia, elevated transaminases and bilirubin level. It is important to differentiate the cause of deranged liver function test in patient with SLE, because other entities may present similar to lupus hepatitis, but they have a different management and prognosis.
Co-Authors Adelia Anggraini Utama Isra Firmansyah Priyanti Kisworini Rinaldi Idroes Sarah Ika Nainggolan Teuku Rizky Noviandy