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Laporan Kasus: Dengue Fever dengan Warning sign dan Diare Akut pada Bayi
Jurnal Ilmu Kesehatan dan Gizi
Vol 4
, No 2
(2026)
Introduction: Dengue fever is a viral infection transmitted through the bite of infected female Aedes aegypti mosquito, caused by four dengue virus serotypes (DEN-1 to DEN-4), with clinical manifestations ranging from asymptomatic to severe disease and may be accompanied by warning sign. Concurrent infections, such as acute diarrhea, may worsen outcomes, particularly in children. Case Report: A nine-month-old female presented with a five-day history of intermittent fever and watery diarrhea. Add...
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Sosialisasi Kreativitas, Komunikasi, serta Sadar Lingkungan: Pendampingan Siswa dalam Upaya Meningkatkan Kreativitas dan Public Speaking
Prabowo, Budi
; Haque, Annisa Mutiara Salma
; Josilina, Grecila Naftali
; Tanzaga, Daivan Putra
; Putra, Victor Pramudita
Jurnal Pengabdian kepada Masyarakat
Vol 4
, No 3
(2024)
Education plays an important role in student development, especially in developing effective communication skills or public speaking. This community service aims to improve the creativity and public speaking skills of students at SDN Sumput, Sidoarjo, through socialization activities for making flower pots from plastic bottle waste. The main problems identified were the lack of self-confidence and public speaking skills among grade 5 students. Lack of interest and motivation as well as fear of p...
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An Intelligent Telediagnosis of Acute Lymphoblastic Leukemia using Histopathological Deep Learning
Khan Tusar, Md. Taufiqul Haque
; Islam, Md. Touhidul
; Sakil, Abul Hasnat
; Khandaker, M N Huda Nahid
; Hossain, Md. Monir
Journal of Computing Theories and Applications
Vol 2
, No 1
(2024)
Leukemia, a global health challenge characterized by malignant blood cell proliferation, demands innovative diagnostic techniques due to its increasing incidence. Among leukemia types, Acute Lymphoblastic Leukemia (ALL) emerges as a particularly aggressive form affecting diverse age groups. This study proposes an advanced mechanized system utilizing Deep Neural Networks for detecting ALL blast cells in microscopic blood smear images. Achieving a remarkable accuracy of 97% using MobileNetV2, our...
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