日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Evaluating Prevalence of Preterm Postnatal Growth Faltering Using Fenton 2013 and INTERGROWTH-21st Growth Charts with Logistic and Machine Learning Models

利用Fenton 2013和INTERGROWTH-21st生长曲线结合逻辑回归和机器学习模型评估早产儿出生后生长发育迟缓的患病率

Kakatsaki, Ioanna; Anagnostatou, Nicolina Hilda; Roumeliotaki, Theano; Panteris, Eleftherios; Liapikos, Theodoros; Papanikolaou, Styliani; Hatzidaki, Eleftheria

Predicting Non-Alcoholic Steatohepatitis: A Lipidomics-Driven Machine Learning Approach

预测非酒精性脂肪性肝炎:一种基于脂质组学的机器学习方法

Mouskeftara, Thomai; Kalopitas, Georgios; Liapikos, Theodoros; Arvanitakis, Konstantinos; Germanidis, Georgios; Gika, Helen

A Comprehensive Analysis of Liver Lipidomics Signature in Adults with Metabolic Dysfunction-Associated Steatohepatitis-A Pilot Study

代谢功能障碍相关脂肪性肝炎成人患者肝脏脂质组学特征的综合分析——一项初步研究

Mouskeftara, Thomai; Kalopitas, Georgios; Liapikos, Theodoros; Arvanitakis, Konstantinos; Theocharidou, Eleni; Germanidis, Georgios; Gika, Helen

Lipidomic-Based Algorithms Can Enhance Prediction of Obstructive Coronary Artery Disease

基于脂质组学的算法可以增强阻塞性冠状动脉疾病的预测

Thomai Mouskeftara, Olga Deda, Theodoros Liapikos, Eleftherios Panteris, Efstratios Karagiannidis, Andreas S Papazoglou, Helen Gika

Machine Learning Algorithm to Predict Obstructive Coronary Artery Disease: Insights from the CorLipid Trial

利用机器学习算法预测阻塞性冠状动脉疾病:来自 CorLipid 试验的启示

Panteris, Eleftherios; Deda, Olga; Papazoglou, Andreas S; Karagiannidis, Efstratios; Liapikos, Theodoros; Begou, Olga; Meikopoulos, Thomas; Mouskeftara, Thomai; Sofidis, Georgios; Sianos, Georgios; Theodoridis, Georgios; Gika, Helen

Platelet-activating factor acetylhydrolase and transacetylase activities in human plasma low-density lipoprotein

人血浆低密度脂蛋白中血小板活化因子乙酰水解酶和转乙酰酶活性

D C Tsoukatos, T A Liapikos, A D Tselepis, M J Chapman, E Ninio