International Journal of Health, Engineering and Technology
Vol. 4 No. 3 (2025): IJHET SEPTEMBER 2025

Classification of Infertility Risk in Female Patients Based on Medical Record Data Using Naive Bayes Algorithm

fahruzisirait (Unknown)
Halimah Tusakdiyah Harahap (Unknown)
Nadya Fitriani (Unknown)
Rika Handayani4 (Unknown)
Baginda Restu Al Ghazali (Unknown)

Article Info

Publish Date
20 Sep 2025

Abstract

Infertility is a reproductive health problem that has a significant impact globally, especially in developing countries such as Indonesia. This study aims to classify the risk of infertility in female patients at Rantauprapat Regional Hospital by utilizing the Naive Bayes algorithm based on electronic medical record data. The data used consisted of 500 medical records of female patients of childbearing age during the period 2019–2022, which had been processed and divided into training data (70%) and testing data (30%). The analysis and modeling process was carried out using the RapidMiner application without requiring programming skills. The results showed that the Naive Bayes model was able to classify the risk of infertility with an accuracy level of 86.7%, precision of 91.0%, recall of 93.2%, and F1-score of 92.1

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Journal Info
International Journal of Health, Engineering and Technology
Website

Abbrev

ijhet

Publisher

CV. AFDIFAL MAJU BERKAH

Subject

Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Dentistry Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Nursing Public Health Veterinary

Description

International Journal of Health, Engineering and Technology (IJHET) is to provide research media and an important reference for the progress and dissemination of research results that support high-level research in the field of Health, Engineering and technology. Original theoretical work and ...