Scopus Documents

Total : 53

Q3
Lymphocyte Levels in Predicting the Outcome of COVID-19 Patient: A Prognostic Study from Single Center in Indonesia
Authors : ZEN AHMAD
Citation : 1
Cover Date : 2021-12-14
Type Doc : Journal
Publication Name : Journal of Nepal Health Research Council
ISSN :
DOI : 10.33314/jnhrc.v19i3.3529
Q1
Deep learning?based computer?aided fetal echocardiography: Application to heart standard view segmentation for congenital heart defects detection
Authors : RADIYATI UMI PARTAN
Citation : 29
Cover Date : 2021-12-01
Type Doc : Journal
Publication Name : Sensors
ISSN : 14248220
DOI : 10.3390/s21238007
Q4
Effect of N-Acetylcysteine on IL-10 and Total Lymphocyte Count in HIV Infected Patients Undergoing Antiretroviral Treatment
Authors : HARUN HUDARI
Citation : 0
Cover Date : 2021-12-01
Type Doc : Journal
Publication Name : Journal of Medicine (Bangladesh)
ISSN : 19979797
DOI : 10.3329/JOM.V22I2.56700
Q3
Optimizing anabas testudineus oil processing by refinement process for quality parameters and fatty acid composition
Authors : RADIYATI UMI PARTAN
Citation : 0
Cover Date : 2021-10-30
Type Doc : Journal
Publication Name : AACL Bioflux
ISSN : 18448143
DOI :
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Nephrology in Indonesia
Authors : ZULKHAIR ALI
Citation : 1
Cover Date : 2021-03-18
Type Doc : Book
Publication Name : Nephrology Worldwide
ISSN :
DOI : 10.1007/978-3-030-56890-0_22
Q2
Automated image segmentation for cardiac septal defects based on contour region with convolutional neural networks: A preliminary study
Authors : RADIYATI UMI PARTAN
Citation : 8
Cover Date : 2021-01-01
Type Doc : Journal
Publication Name : Informatics in Medicine Unlocked
ISSN : 23529148
DOI : 10.1016/j.imu.2021.100601
Q2
Machine Learning Classification for Blood Glucose Performances Using Insulin Sensitivity and Respiratory Scores in Diabetic ICU Patients
Authors : RADIYATI UMI PARTAN
Citation : 0
Cover Date : 2021-01-01
Type Doc : Book Series
Publication Name : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and
ISSN : 03029743
DOI : 10.1007/978-3-030-90235-3_44