Technology Sciences Insights Journal
Vol. 2 No. 2 (2025): Technology Sciences Insights Journal

Prediksi Mortalitas Gagal Jantung Menggunakan PCA dan K-Nearest Neighbors: Analisis Komparatif Metrik Jarak

Feralia Fitri (Unknown)
Navessa Julieth (Unknown)

Article Info

Publish Date
29 Dec 2025

Abstract

Heart failure is a condition in which the heart is unable to pump blood optimally to meet the body’s metabolic demands. Accurate prediction is essential to support timely medical intervention. This study examines the use of the K-Nearest Neighbors (KNN) method to classify heart failure patient outcomes based on nearest-neighbor data from the training set. The method is combined with Principal Component Analysis (PCA) for data dimensionality reduction to predict patient mortality, demonstrating that KNN is a simple and effective approach for medical data analysis.

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Journal Info
Technology Sciences Insights Journal
Website

Abbrev

tsij

Publisher

MID Publisher International

Subject

Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

Technology Sciences Insights Journal (TSIJ) is a distinguished peer-reviewed publication aimed at fostering advancements in the dynamic field of technology sciences. TSIJ provides an inclusive platform for scholars, researchers, industry practitioners, and policymakers to share their original ...