Machine-Learning Based Prediction Model for Prognosis of IgA Nephropathy Patients

被引：0

作者：

Park, Sehoon ^{[1
]}

Koh, Eun Sil ^{[6
]}

Baek, Chung Hee ^{[5
,6
]}

Kim, Yong Chul ^{[1
]}

Lee, Jung Pyo ^{[3
]}

Kim, Dong Ki ^{[1
]}

Han, Seung Hyeok ^{[4
]}

Chin, Ho Jun ^{[2
]}

Joo, Kwon Wook ^{[1
]}

Kim, Yon Su ^{[1
]}

Lee, Hajeong ^{[1
]}

机构：

[1] Seoul Natl Univ Hosp, Seoul, South Korea

[2] Seoul Natl Univ, Bundang Hosp, Seoul, South Korea

[3] Seoul Natl Univ, Seoul Metropolitan Govt, Boramae Med Ctr, Seoul, South Korea

[4] Severance Hosp, Seoul, South Korea

[5] Asan Med Ctr, Seoul, South Korea

[6] Catholic Univ Korea, Sch Med, Seoul, South Korea

来源：

JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY | 2022年 / 33卷 / 11期

关键词：

D O I：

暂无

中图分类号：

R5 [内科学]; R69 [泌尿科学（泌尿生殖系疾病）];

学科分类号：

1002 ; 100201 ;

摘要：

SA-PO716

引用

页码：800 / 801

页数：2

共 50 条

[41] Machine-learning based VMAF prediction for HDR video content
Mueller, Christoph
Steglich, Stephan
Gross, Sandra
Kremer, Paul
PROCEEDINGS OF THE 2023 PROCEEDINGS OF THE 14TH ACM MULTIMEDIA SYSTEMS CONFERENCE, MMSYS 2023, 2023, : 328 - 332
[42] Prediction of Prognosis in Patients with Trauma by Using Machine Learning
Lee, Kuo-Chang
Hsu, Chien-Chin
Lin, Tzu-Chieh
Chiang, Hsiu-Fen
Horng, Gwo-Jiun
Chen, Kuo-Tai
MEDICINA-LITHUANIA, 2022, 58 (10):
[43] Urinary Biomarkers in the Prediction of Prognosis and Treatment Response in IgA Nephropathy
Neuhaus, Julia
Bauer, Frederic
Fitzner, Christina
Hilgers, Ralf-Dieter
Seibert, Felix
Babel, Nina
Doevelaar, Adrian
Eitner, Frank
Floege, Juergen
Rauen, Thomas
Westhoff, Timm H.
KIDNEY & BLOOD PRESSURE RESEARCH, 2018, 43 (05): : 1563 - 1572
[44] Machine Learning-Based Multimodal Prediction of Prognosis in Patients with Intrahepatic Cholangiocarcinoma
Nasar, Naaz
McIntyre, Sarah
Ducret, Valerie
Sauty, Benoit
Maussion, Charles
Schmauch, Benoit
Brion, Eliott
Do, Richard K. G.
Jarnagin, William R.
Chakraborty, Jayasree
JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS, 2024, 239 (05) : S284 - S285
[45] Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database
Tsunoda, Ryoya
Kume, Keitaro
Kagawa, Rina
Sanuki, Masaru
Kitagawa, Hiroyuki
Mase, Kaori
Yamagata, Kunihiro
PLOS ONE, 2024, 19 (12):
[46] A machine-learning model for prediction of Acinetobacter baumannii hospital acquired infection
Neuman, Ido
Shvartser, Leonid
Teppler, Shmuel
Friedman, Yehoshua
Levine, Jacob J.
Kagan, Ilya
Bishara, Jihad
Kushinir, Shiri
Singer, Pierre
PLOS ONE, 2024, 19 (12):
[47] A novel machine-learning based prediction model for ship manoeuvring emissions by using bridge simulator
Senol, Yunus Emre
Seyhan, Alper
OCEAN ENGINEERING, 2024, 291
[48] Credit-Risk Prediction Model Using Hybrid Deep - Machine-Learning Based Algorithms
Melese, Tamiru
Berhane, Tesfahun
Mohammed, Abdu
Walelgn, Assaye
Scientific Programming, 2023, 2023
[49] Prediction of breath-holding spells based on electrocardiographic parameters using machine-learning model
Khalilian, Mohammad Reza
Tofighi, Saeed
Attar, Elham Zohur
Nikkhah, Ali
Hajipour, Mahmoud
Ghazavi, Mohammad
Samimi, Sahar
ANNALS OF NONINVASIVE ELECTROCARDIOLOGY, 2024, 29 (01)
[50] A Hybrid Machine-Learning Model Based on Global and Local Learner Algorithms for Diabetes Mellitus Prediction
Rufo, Derara Duba
Debelee, Taye Girma
Negera, Worku Gachena
JOURNAL OF BIOMIMETICS BIOMATERIALS AND BIOMEDICAL ENGINEERING, 2021, 54 : 65 - 88

← 1 2 3 4 5 →