Results 11 to 20 of about 23,893 (215)
Prediction and Classification the Risk of Stroke Patients Using Machine Learning Techniques: A Retrospective Cross-Sectional Study. [PDF]
Health Sci RepABSTRACT 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
Predicting Pharmacological Treatment Response in Migraine Using AI/ML: A Scoping Review of the Evidence and Future Directions. [PDF]
PharmacotherapyABSTRACT 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
Implementasi Data Mining Pada Klasifikasi Ketidakhadiran Pegawai Menggunakan Metode C4.5
Computer Science, 2021 Not all employee absences have reasons that are always labeled as bad. There is also an absence that can be tolerated by an agency or company, where these reasons are acceptable reasons, for example, due to illness, or certain permits that are considered
Nandang Iriadi +2 more
doaj +1 more source
Identification of Poison using C4.5 Algorithm
International Journal of Scientific Research in Science, Engineering and Technology, 2020 Data mining is the task of discovering interesting patterns from large amounts of data where the data can be stored in databases, data warehouses or other information repositories. This can be viewed as a result of the natural evolution of information technology. The key point is that data mining is the application of these and other AI and statistical
Lai Lai Yee, Myo Ma Ma
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CommIT Journal, 2023 Technology advancements in the world of information have made it easier for many people to process data. Data mining is a process of mining more valuable information from large data sets.
Muhasshanah Muhasshanah +5 more
doaj +1 more source
Sistemasi: Jurnal Sistem Informasi, 2021 Abstrak Analisis tekstur lazim dimanfaatkan sebagai proses untuk melakukan klasifikasi dan interpretasi citra. Suatu proses klasifikasi citra berbasis analisa tekstur pada umumnya membutuhkan tahapan ekstraksi ciri, yang terdiri dari tiga macam metode ...
Hamdun Sulaiman
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Jurnal Teknologi Informasi dan Ilmu Komputer, 2020 Perkembangan teknologi yang begitu pesat menjadikan kebutuhan akan suatu informasi semakin meningkat, sehingga keakuratan suatu informasi menjadi suatu hal yang sangat penting, Terutama keakuratan informasi yang dibutuhkan dalam memprediksi penyakit ...
Erwin Prasetyo, Budi Prasetiyo
doaj +1 more source
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023 One of the datasets used to classify heart disease is UCI dataset. unfortunately, the dataset contains missing data. Backpropagation is an easy and fast method, but it is very dependent on input data so if there is missing data, it can reduce the ...
Anita Desiani +6 more
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Pilar Nusa Mandiri, 2022 Classification of blood donor data at UTD PMI Bali Province by applying the C4.5 and K-Nearest Neighbor algorithms. The number of blood donor data donors is 34,948, of which 90% of the data, namely 31,454 is used as training data.
Ni Ketut Melly Astuti +2 more
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Optimization of PBFT Algorithm Based on Improved C4.5 [PDF]
Mathematical Problems in Engineering, 2021 Aiming at the problems of PBFT algorithm of consortium blockchain, such as high communication overhead, low consensus efficiency, and random selection of leader nodes, an optimized algorithm of PBFT is proposed. Firstly, the algorithm improves C4.5 and introduces weighted average information gain to overcome the mutual influence between conditional ...
Xiandong Zheng +3 more
openaire +1 more source