E-Health Telecommunication Systems and Networks

E-Health Telecommunication Systems and Networks

ISSN Print: 2167-9517
ISSN Online: 2167-9525
www.scirp.org/journal/etsn
E-mail: etsn@scirp.org
"Medical Diagnosis Expert System for Malaria and Related Diseases for Developing Countries"
written by Kenneth Ikechukwu Nkuma-Udah, Gloria Azogini Chukwudebe, Emmanuel Nwabueze Ekwonwune,
published by E-Health Telecommunication Systems and Networks, Vol.7 No.2, 2018
has been cited by the following article(s):
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[1] A Modified Approach to Malaria Diagnosis Using Artificial Bee Colony Algorithm
International Journal of Innovative Science and Research Technology, 2021
[2] Unknown Oriented Programming: Mathematical Continuation
Journal of Software, 2021
[3] Diabetes Disease Prediction using Machine Learning
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[4] НЕЧЕТКАЯ ЛОГИЧЕСКАЯ СИСТЕМА ДЛЯ ПОВЫШЕНИЯ ТОЧНОСТИ ДИАГНОСТИРОВАНИЯ ПАРАЗИТАРНЫХ ЗАБОЛЕВАНИЙ ЖЕЛУДОЧНО …
2021
[5] IDENTIFIKASI SOP TINGKAT PENANGANAN PENYAKIT PADA ANAK BALITA MENGGUNAKAN METODE FORWARD CHAINING (STUDI KASUS DI RUMAH SAKIT …
2020
[6] Identifikasi Sop Tingkat Penanganan Penyakit Pada Anak Balita Menggunakan Metode Forward Chaining (Studi Kasus Di Rumah Sakit Umum Tanjung Balai)
Jurnal Pendidikan Teknologi Informasi (JUKANTI), 2020
[7] A web-based intelligence platform for diagnosis of malaria in thick blood smear images: a case for a developing country
2020
[8] Design of Expert System for Diagnosis of Malaria Using VB 6.0
2020
[9] Identifikasi Sistem Operasi Prosedur Tingkat Penanganan Penyakit Pada Anak Balita
2020
[10] Automating the clinical stools exam using image processing integrated in an expert system
2019
[11] Rule Based System for Better Prediction of Diabetes
2019
[12] Rapid Microscopic Analysis Using Natural Neighbor Interpolation
2019
[13] การ ศึกษา เพื่อ พัฒนา ระบบ ผู้เชี่ยวชาญ ใน การ เลือก ใช้ บริการ โล จิ สติ ก ส์
2018
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