Results 121 to 130 of about 2,573 (145)

First-Trimester Gestational Diabetes Mellitus Risk Prediction with Machine Learning Techniques: Results from the BORN2020 Cohort Study. [PDF]

J Clin Med
Pazaras N, Siargkas A, Tranidou A, Apostolopoulou A, Tsakiridis I, Bamidis PD, Stavros S, Potiris A, Chourdakis M, Dagklis T.   +9 more
europepmc   +1 more source

A predictive model of inadequate minimum dietary diversity among women with a child under 24 months in ethiopia: a machine learning approach using the 2016 EDHS. [PDF]

J Health Popul Nutr
Belete AK, Yirsaw BG, Taye BA.
europepmc   +1 more source

Lung cancer risk prediction using augmented machine learning pipelines with explainable AI. [PDF]

Front Artif Intell
M S P, D S, Chakrabortty A.
europepmc   +1 more source

Explainable machine learning-based 28-day mortality prediction model for elderly patients with acute kidney injury. [PDF]

BMC Nephrol
Jiao Y, Wu Z, Zhang Y, Liu Y, Zhi P, Ao Q, Cheng Q.   +6 more
europepmc   +1 more source

Machine learning algorithms for prediction of cerebrospinal fluid leakage after posterior surgery for thoracic ossification of the ligamentum flavum. [PDF]

Sci Rep
Guo R, Liu B, Wu Y, Zhang Y, Wang X, Jiang D, Liu Z.   +6 more
europepmc   +1 more source

Enhanced diabetes prediction using CTGAN-MLP approach on body composition data. [PDF]

Sci Rep
Joloudari JH, Maftoun M, Nematollahi MA, Rajesh KNVPS, Vaidya SP, Reddy KR, Kolivand P.   +6 more
europepmc   +1 more source

The Impact of SMOTE and ADASYN on Random Forest and Advanced Gradient Boosting Techniques in Telecom Customer Churn Prediction

This paper explores the capability of various machine learning algorithms, including Random Forest and advanced gradient boosting techniques such as XGBoost, LightGBM, and CatBoost, to predict customer churn in the telecommunications sector.
Mehdi Imani, Majid Joudaki, Ali Beikmohammadi   +2 more
exaly   +2 more sources

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DAD-Net: Classification of Alzheimer’s Disease Using ADASYN Oversampling Technique and Optimized Neural Network

Molecules, 2022
Gulnaz Ahmed, Mian Muhammad Sadiq Fareed, Syeda Fizzah Jilani   +2 more
exaly  

ADASEML: Hospitalization Period Prediction of COVID-19 Patients Using ADASYN and Stacking Based Ensemble Learning

Communications in Computer and Information Science, 2023

exaly  

ADASYN and ABC-optimized RBF convergence network for classification of electroencephalograph signal

Personal and Ubiquitous Computing, 2021
Pradeep Kumar Mallick, Sandeep Satapathy, Gyoo-Soo Chae   +2 more
exaly