Results 11 to 20 of about 31,619 (193)

Predicting Pharmacological Treatment Response in Migraine Using AI/ML: A Scoping Review of the Evidence and Future Directions. [PDF]

open access: yesPharmacotherapy
ABSTRACT The treatment of migraine is hampered by inter‐individual variability, leading to an inefficient “trial and error” approach. Artificial intelligence (AI) and machine learning (ML) offer a path towards precision medicine by predicting therapeutic outcomes.
Giacon M, Terrazzino S.
europepmc   +2 more sources

Prediction and Classification the Risk of Stroke Patients Using Machine Learning Techniques: A Retrospective Cross-Sectional Study. [PDF]

open access: yesHealth Sci Rep
ABSTRACT Background Stroke is one of the most common causes of death and neurological disabilities in all societies. The use of machine learning techniques to create predictive models is very helpful in identifying people at risk to reduce the complications of the disease. The purpose of this study was to investigate the performance of machine learning
Alizadeh-Dizaj G, Khoshsirat S.
europepmc   +2 more sources

PERFORMANCE COMPARISON OF MUSHROOM TYPE CLASSIFICATION BASED ON MULTI-SCENARIO DATASET USING DECISION TREE C4.5 AND C5.0

open access: yesJurnal Riset Informatika, 2022
Indonesia has a tropical climate that supports mushroom growth. Mushroom classification into poisonous and non-poisonous mushrooms. Identification of the type of mushroom is vital because mushrooms, especially poisonous mushrooms, risk causing potential ...
Citra Mirna Wati   +2 more
doaj   +1 more source

Application of machine learning in the classification of traffic in telecommunication networks: working with network modeling systems [PDF]

open access: yesE3S Web of Conferences, 2023
The issues of classification of online traffic in the framework of the work of network infrastructure modeling systems are considered. The main classifiers C4.5 Decision Tree, Random forest Method, SVM, KNN are considered.
Uymin Anton
doaj   +1 more source

Klasifikasi Penyakit Tiroid Menggunakan Algoritma C4.5 (Studi Kasus : Rumah Sakit Umum Daerah (RSUD) Hasanuddin Damrah Manna)

open access: yesRekayasa, 2020
Tiroid adalah merupakan salah satu bagian tubuh yang sangat penting bagi manusia, tiroid berbentuk kelenjar dan letaknya di bawah jakun pada leher. Penyakit gondok disebabkan oleh gangguan pada kelenjar tiroid.
Devi Sartika, Yupianti Yupianti
doaj   +1 more source

RR Interval-based atrial fibrillation detection using traditional and ensemble machine learning algorithms

open access: yesJournal of Medical Signals and Sensors, 2023
Atrial fibrillation (AF) is a life threatening disease and can cause stroke, heart failure, and sometimes death. To reduce the rate of mortality and morbidity due to increased prevalence of AF, early detection of the same becomes a prior concern ...
S K Shrikanth Rao, Roshan Joy Martis
doaj   +1 more source

A Soft Voting Ensemble Classifier to Improve Survival Rate Predictions of Cardiovascular Heart Failure Patients

open access: yesIlkom Jurnal Ilmiah, 2023
Cardiovascular disease is one of the deadliest diseases, claiming around 17 million lives worldwide each year. According to data from the World Health Organization (WHO), more than four out of five deaths from cardiovascular disease are caused by heart ...
Arif Munandar   +2 more
doaj   +1 more source

Can k-NN imputation improve the performance of C4.5 with small software project data sets? A comparative evaluation [PDF]

open access: yes, 2008
Missing data is a widespread problem that can affect the ability to use data to construct effective prediction systems. We investigate a common machine learning technique that can tolerate missing values, namely C4.5, to predict cost using six real world
Albrecht   +60 more
core   +1 more source

Optimasi Akurasi Algoritma C4.5 Berbasis Particle Swarm Optimization dengan Teknik Bagging pada Prediksi Penyakit Ginjal Kronis

open access: yesTechno.Com, 2020
Penyakit Ginjal Kronis merupakan penyakit dengan tingkat pengeluaran biaya terbesar di dunia. Penyakit tersebut sering kali tidak menunjukkan adanya gejala yang terjadi seperti penyakit pada umumnya.
Ita Yulianti   +3 more
doaj   +1 more source

Penerapan Algoritma C4.5 pada Aplikasi Prediksi Kelulusan Mahasiswa Prodi Informatika

open access: yesKhazanah Informatika, 2018
Data tentang mahasiswa yang lulus merupakan sebuah data yang penting baik bagi departemen, fakultas maupun universitas karena data tersebut digunakan dalam proses akreditasi. Data tentang mahasiswa yang lulus terus bertambah di tiap tahunnya dan menumpuk
Ratna Puspita Sari Putri, Indra Waspada
doaj   +1 more source

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