IMPLEMENTASI ALGORITMA RANDOM FOREST DALAM PREDIKSI STROKE DENGAN PENGGUNAAN SYNTHETIC MINORITY OVER-SAMPLING TECHNIQUE
Stroke is one of the significant global health issues, being a leading cause of disability and death worldwide. In Indonesia, stroke has emerged as one of the most fatal diseases. According to the 2020 Indonesia health profile data, stroke ranks third with a total of 1,789,261 reported cases. The ai...
Saved in:
Main Author: | Johanes Gerald, (Author) |
---|---|
Format: | Book |
Published: |
2024-01-15.
|
Subjects: | |
Online Access: | Link Metadata |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
IMPLEMENTASI ALGORITMA RANDOM FOREST TERHADAP PREDIKSI GOOD LOAN/BAD LOAN KREDIT NASABAH BANK DI JAKARTA
by: Sultan Farel Syah Reza,
Published: (2023) -
IMPLEMENTASI ALGORITMA EXTREME LEARNING MACHINE PADA PREDIKSI AKTIVITAS BADAI GEOMAGNETIK
by: Prawira, Irsyad Riandri Dana
Published: (2017) -
IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOR UNTUK PREDIKSI PASIEN GAGAL JANTUNG
by: Rendy,
Published: (2022) -
IMPLEMENTASI ALGORITMA RANDOM FOREST UNTUK IDENTIFIKASI DINI SISWA YANG MENGALAMI KENDALA AKADEMIK
by: Iva Rachmawati, -
Published: (2020) -
IMPLEMENTASI ALGORITMA BACKPROPAGATION UNTUK PREDIKSI PENYAKIT BATU GINJAL (NEFROLITIASIS) (STUDI KASUS RSUD KOTA TANGERANG)
by: Tyara Pundhi Oviana, -
Published: (2019)