PREDICTION AND ANALYSIS OF CARDIOVASCULAR DISEASE WITH NEURAL NETWORK ALGORITHM

Prediksi Dan Analisis Penyakit Kardiovaskular Dengan Algoritma Neural Network

Authors

  • Ardi Ramadhan Sukma STMIK Nusa Mandiri
  • Riqadri Halfis Ilmu Komputer STMIK Nusa Mandiri

DOI:

https://doi.org/10.33480/techno.v16i2.642

Keywords:

Algoritma Neural Network, Kardiovaskular, Prediksi Penyakit, CARDIOVASCULAR DISEASE

Abstract

In the medical and health world it is very necessary to predict one of his cardiovascular diseases in patients. On this occasion, there were 220 datasets used in the study and 220 attributes. Prediction is done by using a neural network algorithm. Then do a calculation using Rapidminer from the cardiovascular disease dataset. The dataset will be predicted and analyzed with two trials at Rapidminer to determine the optimal level of prediction. The results of the first trial at Rapidminer are 68.81% accuracy with a prescription value of 65.85%, 79.41% recall and, AUC value of 0.745 and the second trial result is 77.27% accuracy, with a precision value of 77.14%, 79.41% recall and, AUC value of 0.764.

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Published

2019-09-06

How to Cite

Sukma, A. R., & Halfis, R. (2019). PREDICTION AND ANALYSIS OF CARDIOVASCULAR DISEASE WITH NEURAL NETWORK ALGORITHM: Prediksi Dan Analisis Penyakit Kardiovaskular Dengan Algoritma Neural Network. Jurnal Techno Nusa Mandiri, 16(2), 79–84. https://doi.org/10.33480/techno.v16i2.642

Issue

Vol. 16 No. 2 (2019): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode September 2019

Section

Articles

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