2022
DOI: 10.20474/jahms-8.1
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The effect of convalescent plasma administration on increasing blood IGG and IGM levels as an effort to prevent death due to Covid-19 in ICU Panglima Sebaya hospital, Paser Regency, East Kalimantan

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Cited by 3 publications
(3 citation statements)
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“…U-Net is a fully-convolutional network-based model of the end-to-end scheme proposed for image segmentation in the biomedical field. It was named U-Net because of its network configuration ('U') [2,3,10,11]. A network for obtaining the overall context information of the image and a network for accurate localization are constructed in a symmetrical form.…”
Section: U-netmentioning
confidence: 99%
“…U-Net is a fully-convolutional network-based model of the end-to-end scheme proposed for image segmentation in the biomedical field. It was named U-Net because of its network configuration ('U') [2,3,10,11]. A network for obtaining the overall context information of the image and a network for accurate localization are constructed in a symmetrical form.…”
Section: U-netmentioning
confidence: 99%
“…(3) Inspect setting that includes the communication range between pin of travel resonance layer and their system consist of the properly appear by the monitoring [18,23,24,25].…”
Section: Fcrr Of Circulate-down Rainbow Dot Indexmentioning
confidence: 99%
“… Early initiation of TPE followed by the infusion of CP may minimize the likelihood of the disease’s progression and, ultimately, the probability of negative consequences in patients with severe and critical COVID-19. Efry Sofyan Noor et al 165 Impact of CP administration on elevating blood IgG and IgM levels to avoid Covid-19-related fatalities in the ICU (ORA) Quasi experimental design Panglima Sebaya Hospital, Paser Regency, East Kalimantan 50 patients Administration of CP to COVID-19 patients in ICU. The results showed that the IgG level was 269, 18 ±217,341 before Tx and 1648, 1 ±490.140 following Tx (p-value = 0.000).…”
Section: Introductionmentioning
confidence: 99%