… In this study, we constructed the data table of acupoint … function index of the acupoint is 1,
otherwise it is 0. Thus, a 0-1 coding table with a size of 311×651 is generated, which is the data …

… , liver cirrhosis and other liver function damage diseases. … In conclusion, the predicted
results of network pharmacology … The network pharmacology approach is an effective way to …

… The main focus would be on the prediction of some major diseases, … scientific fields, and
analyzing biological data may involve algorithms in artificial intelligence, soft computing or data …

… (1) The transmission ways of hepatitis B include blood … to improve liver function in patients
with HBV-induced cirrhosis, … DE-lncRNAs were predicted by calculating pearson correlation …

… molecular mechanics optimization methods under the MMFF … The results of ADMET prediction
were not very consistent … experiments and reduced errors of prediction. Of course, the side …

… facilitate the metabolomics data differentiation and prediction .RESULTS :Using PCA and
PLS-… In the present study, we used a GC MS based metabolomic approach for determining the …

… fatty liver disease (NAFLD) is the most common liver disease and … liver disease, but also
for extrahepatic diseases, such as type 2 diabetes mellitus (T2DM) and cardiovascular disease (…

… and varia-tional autoencoder methods. These algorithms are … the prediction effect and
optimize the overfitting of the model. Across simulated data, liver cirrhosis data, and diabetes data, …

… of business and science. There are two coexisting approaches to time series forecasting, …
released by the American social networking service Facebook's core data science team (…

… The WHtR was able to evaluate cardiometabolic risk factors and to effectively predict the …
This study aimed to evaluate the superiority of WHtR for predicting several cardiometabolic …