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217 related items for PubMed ID: 38325619
1. Prediction of weighted arithmetic water quality index for urban water quality using ensemble machine learning model. Mohseni U, Pande CB, Chandra Pal S, Alshehri F. Chemosphere; 2024 Mar; 352():141393. PubMed ID: 38325619 [Abstract] [Full Text] [Related]
6. Mapping of groundwater productivity potential with machine learning algorithms: A case study in the provincial capital of Baluchistan, Pakistan. Rasool U, Yin X, Xu Z, Rasool MA, Senapathi V, Hussain M, Siddique J, Trabucco JC. Chemosphere; 2022 Sep; 303(Pt 3):135265. PubMed ID: 35691394 [Abstract] [Full Text] [Related]
9. Integrated machine learning-based model and WQI for groundwater quality assessment: ML, geospatial, and hydro-index approaches. Abu El-Magd SA, Ismael IS, El-Sabri MAS, Abdo MS, Farhat HI. Environ Sci Pollut Res Int; 2023 Apr; 30(18):53862-53875. PubMed ID: 36864333 [Abstract] [Full Text] [Related]
11. Integrating machine learning models with cross-validation and bootstrapping for evaluating groundwater quality in Kanchanaburi province, Thailand. Thanh NN, Chotpantarat S, Ngu NH, Thunyawatcharakul P, Kaewdum N. Environ Res; 2024 Jul 01; 252(Pt 2):118952. PubMed ID: 38636644 [Abstract] [Full Text] [Related]
12. Optimisation and interpretation of machine and deep learning models for improved water quality management in Lake Loktak. Talukdar S, Shahfahad, Bera S, Naikoo MW, Ramana GV, Mallik S, Kumar PA, Rahman A. J Environ Manage; 2024 Feb 01; 351():119866. PubMed ID: 38147770 [Abstract] [Full Text] [Related]
13. Predictive modeling of blood pressure during hemodialysis: a comparison of linear model, random forest, support vector regression, XGBoost, LASSO regression and ensemble method. Huang JC, Tsai YC, Wu PY, Lien YH, Chien CY, Kuo CF, Hung JF, Chen SC, Kuo CH. Comput Methods Programs Biomed; 2020 Oct 01; 195():105536. PubMed ID: 32485511 [Abstract] [Full Text] [Related]