Výsledky vyhledávání - "Permatasari Silitonga"

Akademický článek

Comparison of Dengue Predictive Models Developed Using Artificial Neural Network and Discriminant Analysis with Small Dataset

Autor: Permatasari Silitonga, Alhadi Bustamam, Hengki Muradi, Wibowo Mangunwardoyo, Beti E. Dewi

Publikováno v: Applied Sciences, Vol 11, Iss 3, p 943 (2021)

In Indonesia, dengue has become one of the hyperendemic diseases. Dengue consists of three clinical phases—febrile phase, critical phase, and recovery phase. Many patients have died in the critical phase due to the lack of proper and timely treatme

Externí odkaz: https://doaj.org/article/3e656b9a6be444cda06878112cc0c64e

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Evaluation of Dengue Model Performances Developed Using Artificial Neural Network and Random Forest Classifiers

Autor: Permatasari Silitonga, Herley Shaori Al-Ash, Beti Ernawati Dewi, Alhadi Bustamam

Publikováno v: Procedia Computer Science. 179:135-143

Dengue is one of the endemic diseases in Indonesia. Dengue is being suffered by many people, regardless of their gender and age. Therefore, research about dengue based on dengue patients’ data was conducted. There was a lot of information written i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dfe3a79f06636eb21b982bc380d0751c
https://doi.org/10.1016/j.procs.2020.12.018

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Comparison of Dengue Predictive Models Developed Using Artificial Neural Network and Discriminant Analysis with Small Dataset

Autor: Hengki Muradi, Permatasari Silitonga, Alhadi Bustamam, Wibowo Mangunwardoyo, Beti Ernawati Dewi

Publikováno v: Applied Sciences
Volume 11
Issue 3
Applied Sciences, Vol 11, Iss 943, p 943 (2021)

In Indonesia, dengue has become one of the hyperendemic diseases. Dengue consists of three clinical phases&mdash
febrile phase, critical phase, and recovery phase. Many patients have died in the critical phase due to the lack of proper and timel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbf6c0908fd5bd2a2da2c2a59ca25a46

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Correlation between laboratory characteristics and clinical degree of dengue as an initial stage in a development of machine learning predictor program

Autor: Titin Siswantining, Permatasari Silitonga, Alhadi Bustamam, Beti Ernawati Dewi

Publikováno v: SYMPOSIUM ON BIOMATHEMATICS 2019 (SYMOMATH 2019).

Dengue is one of the endemic diseases in Indonesia. Dengue is being suffered by many people, regardless of their gender and age. Therefore, a research about dengue based on a dengue patients’ data is conducted. There was a lot of information writte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::be7093c79fc3101e9f4aa656ff3d6aba
https://doi.org/10.1063/5.0023932

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