Results 101 to 110 of about 91,636 (169)

Development of a machine learning model for hepatic steatosis screening using non-invasive Traditional Chinese Medicine diagnostics and clinical variables: a health checkup study with community screening potential. [PDF]

Front Med (Lausanne)
Zhu K, Li L, Zhao Z, Zheng S, Lin B, Tang W, Li W.   +6 more
europepmc   +1 more source

Detecting Parkinson's Disease Using XGBoost

International Journal of Science and Research (IJSR), 2023
openaire   +1 more source

Malware Executables Detection Using XGBOOST

International Journal for Research in Applied Science and Engineering Technology
Abstract: Malicious software, called malware, is a big problem for computers. It can steal information, cause financial losses, and more. We came up with a new way to find malware using a smart computer program called XGBoost. XGBoost is good at solving problems with computers. We used it to tell if a computer program is malware or not.
openaire   +1 more source

Hybrid CFD and machine learning analysis of CO₂ enhanced oil recovery in naturally fractured reservoirs. [PDF]

Sci Rep
Asim T, Ur Rahman K, Kukha Hawez H, Mishra R.   +3 more
europepmc   +1 more source

A study on energy consumption analysis and prediction of electric bus at intersections considering driving behavior. [PDF]

Sci Rep
Lyu A, Zhang H, Zhang Y, Li C, Chen Y.
europepmc   +1 more source

An ultrasound-based machine learning model for predicting pelvic adhesions: A SHAP-enhanced XGBoost approach. [PDF]

Digit Health
Huang Y, Su S, Chen J, Zhang X, Tan K, Guo Q.   +5 more
europepmc   +1 more source

Hypoxemia prediction model based on XGBoost during sedation for gastrointestinal endoscopy. [PDF]

Front Med (Lausanne)
Zhao R, Chen Z, Teng Q, Xu T, Li Q, Gong H, Ji H, Zhang H.   +7 more
europepmc   +1 more source

In silico perturbations provide multivariate interpretability in predicting post-lung transplant outcomes. [PDF]

Sci Rep
Luo L, Możejko M, Markov NS, Peltekian A, Mohsin S, Carn M, Cooper P, Lysne J, Joudi A, Betensley A, Bemiss BC, Myers C, Bharat A, Tomic R, Arunachalam A, Szczurek E, Budinger GRS, Misharin AV, Subramani MV.   +18 more
europepmc   +1 more source

An XGBoost-based cellular automata for modeling PM₂.₅ concentration using ground and satellite data. [PDF]

Sci Rep
Farokhi S, Maleki J, Foroutan E.
europepmc   +1 more source

Entropy-Augmented Forecasting and Portfolio Construction at the Industry-Group Level: A Causal Machine-Learning Approach Using Gradient-Boosted Decision Trees. [PDF]

Entropy (Basel)
Cohen G, Aiche A, Eichel R.
europepmc   +1 more source