Improved Multiclassification of Schizophrenia Based on Xgboost and Information Fusion for Small Datasets
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/1581958
Abstract: To improve the performance in multiclass classification for small datasets, a new approach for schizophrenic classification is proposed in the present study. Firstly, the Xgboost classifier is introduced to discriminate the two subtypes of schizophrenia… read more here.
Keywords: fusion; based xgboost; classification; improved multiclassification ... See more keywords
Construction of Prediction Model of Deep Vein Thrombosis Risk after Total Knee Arthroplasty Based on XGBoost Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/3452348
Abstract: Objective Based on the XGBoost algorithm, the prediction model of the risk of deep vein thrombosis (DVT) in patients after total knee arthroplasty (TKA) was established, and the prediction performance was compared. Methods A total… read more here.
Keywords: prediction model; xgboost algorithm; model; based xgboost ... See more keywords
m5Cpred-XS: A New Method for Predicting RNA m5C Sites Based on XGBoost and SHAP
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.853258
Abstract: As one of the most important post-transcriptional modifications of RNA, 5-cytosine-methylation (m5C) is reported to closely relate to many chemical reactions and biological functions in cells. Recently, several computational methods have been proposed for identifying… read more here.
Keywords: based xgboost; m5c sites; m5c; m5cpred new ... See more keywords
Prediction model for missed abortion of patients treated with IVF-ET based on XGBoost: a retrospective study
Sign Up to like & getrecommendations! Published in 2023 at "PeerJ"
DOI: 10.7717/peerj.14762
Abstract: Aim In this study, we established a model based on XGBoost to predict the risk of missed abortion in patients treated with in vitro fertilization-embryo transfer (IVF-ET), evaluated its prediction ability, and compared the model… read more here.
Keywords: based xgboost; abortion patients; prediction; missed abortion ... See more keywords