Classification of heart disease trigger factors using Naive Bayes method to predict the risk of heart disease using IoT-based heart rate sensors-Reference-Cited by-同舟云学术

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Classification of heart disease trigger factors using Naive Bayes method to predict the risk of heart disease using IoT-based heart rate sensors

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:INTERNATIONAL CONFERENCE ON INDUSTRIAL, ENTERPRISE, AND SYSTEM ENGINEERING: Collaboration of Science, Technology, and Innovation Toward Sustainable Development
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Author:

Jahja Jeffrey,Agung Halim,Mulyana Teady Matius Surya,Hakim Lukman,Sipayung Evaria

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0119083

Reference27 articles.

1. Lina N., S Dian. Deteksi dini penyakit jantung koroner di Pos Pembinaan Terpadu Penyakit Tidak Menular (POSBINDU PTM). J Kesehat Komunitas Indones. 2019;15(1):93–104.

2. Cardiovascular diseases (CVDs) [Internet]. 2017 [cited 2020 Dec 21]. Available from: https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds)

3. Adrian K. Waspada dan Kenali Lebih Jauh Ciri-Ciri Sakit Jantung - Alodokter [Internet]. 2020 [cited 2020 Dec 26]. Available from: https://www.alodokter.com/kenali-ciri-ciri-sakit-jantung

4. Cara Sederhana Mendeteksi Penyakit Jantung [Internet]. [cited 2021 Apr 15]. Available from: https://doktersehat.com/cara-sederhana-mendeteksi-penyakit-jantung/

5. Sabransyah M., Nasution Y.N., Amijaya FDT. Aplikasi Metode Naive Bayes dalam Prediksi Risiko Penyakit Jantung. J EKSPONENSIAL. 2017;8(2):111–8.

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