Klasifikasi Penjurusan pada Sekolah Menengah Atas (SMA) dengan Metode Algoritma C4. 5

YS Eirlangga, AE Syaputra - Jurnal Informasi dan Teknologi, 2022 - jidt.org
Abstract The Indonesian Minister of Education has stipulated 12 years of compulsory
education, but only at high school (SMA) students can only determine the major they are …

Applications of dynamic feature selection and clustering methods to medical diagnosis

MM Ershadi, A Seifi - Applied Soft Computing, 2022 - Elsevier
Abstract Machine learning methods are commonly used for disease and cancer diagnosis.
The model performance can be improved via feature selection, feature reduction, and …

Machine learning and deep learning methods for building intelligent systems in medicine and drug discovery: A comprehensive survey

GJ Chowdary - arXiv preprint arXiv:2107.14037, 2021 - arxiv.org
With the advancements in computer technology, there is a rapid development of intelligent
systems to understand the complex relationships in data to make predictions and …

Different scenarios for the prediction of hospital readmission of diabetic patients

C Neto, F Senra, J Leite, N Rei, R Rodrigues… - Journal of Medical …, 2021 - Springer
Hospitals generate large amounts of data on a daily basis, but most of the time that data is
just an overwhelming amount of information which never transitions to knowledge. Through …

Hospital readmission and length-of-stay prediction using an optimized hybrid deep model

A Tavakolian, A Rezaee, F Hajati, S Uddin - Future Internet, 2023 - mdpi.com
Hospital readmission and length-of-stay predictions provide information on how to manage
hospital bed capacity and the number of required staff, especially during pandemics. We …

[PDF][PDF] Comparison of Naïve Bayes Algorithm and Decision Tree C4. 5 for Hospital Readmission Diabetes Patients using HbA1c Measurement.

U Pujianto, AL Setiawan, HA Rosyid, AMM Salah - Knowl. Eng. Data Sci., 2019 - core.ac.uk
Special care for diabetic patients is important for their survival. The HbA1c examination is
useful for controlling patients for diabetes. Therefore, diabetes is a metabolic disorder …

[PDF][PDF] Analisis Data Mining Penjualan Ban Menggunakan Algoritma C4. 5

S Anggraini, S Defit, GW Nurcahyo - Jurnal Ilmu Teknik Elektro …, 2018 - academia.edu
Penelitian ini bertujuan untuk mengoptimalisasi transaksi penjualan ban. Optimasi ini akan
mempengaruhi penentuan persediaan ban di gudang. Metode yang digunakan dalam …

[PDF][PDF] Machine learning classification of infectious disease distribution status

IA Wisky, M Yanto, Y Wiyandra… - Indonesian Journal of …, 2022 - academia.edu
Infectious diseases are common diseases and are caused by microorganisms such as
viruses, bacteria, and parasites. Indicators of the spread of this disease can be seen based …

Utilizing Machine and Deep Learning Techniques for Predicting Re-admission Cases in Diabetes Patients

MS Gaso, RR Mekuria, A Khan, MI Gulbarga… - Proceedings of the …, 2024 - dl.acm.org
Analysing dataset representing ten years (1999-2008) of clinical care at 130 US hospitals
and integrated delivery networks which includes over 50 features representing patient and …

Self-organizing map (SOM) for diagnosis coronary heart disease

T Widiyaningtyas, IAE Zaeni… - 2019 4th International …, 2019 - ieeexplore.ieee.org
Coronary Heart Disease (CHD) is one of the diseases that is the highest cause of death in
various countries, including Indonesia. There are a number of factors that play an important …