These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
211 related articles for article (PubMed ID: 35395577)
1. Predicting chemical ecotoxicity by learning latent space chemical representations. Gao F; Zhang W; Baccarelli AA; Shen Y Environ Int; 2022 May; 163():107224. PubMed ID: 35395577 [TBL] [Abstract][Full Text] [Related]
2. 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; 195():105536. PubMed ID: 32485511 [TBL] [Abstract][Full Text] [Related]
3. Predicting crop root concentration factors of organic contaminants with machine learning models. Gao F; Shen Y; Brett Sallach J; Li H; Zhang W; Li Y; Liu C J Hazard Mater; 2022 Feb; 424(Pt B):127437. PubMed ID: 34678561 [TBL] [Abstract][Full Text] [Related]
4. Estimate ecotoxicity characterization factors for chemicals in life cycle assessment using machine learning models. Hou P; Jolliet O; Zhu J; Xu M Environ Int; 2020 Feb; 135():105393. PubMed ID: 31862642 [TBL] [Abstract][Full Text] [Related]
5. Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage. Cui S; Luo Y; Tseng HH; Ten Haken RK; El Naqa I Med Phys; 2019 May; 46(5):2497-2511. PubMed ID: 30891794 [TBL] [Abstract][Full Text] [Related]
6. Learning Relationships Between Chemical and Physical Stability for Peptide Drug Development. Fine J; Wijewardhane PR; Mohideen SDB; Smith K; Bothe JR; Krishnamachari Y; Andrews A; Liu Y; Chopra G Pharm Res; 2023 Mar; 40(3):701-710. PubMed ID: 36797504 [TBL] [Abstract][Full Text] [Related]
7. Automated Landslide-Risk Prediction Using Web GIS and Machine Learning Models. Tengtrairat N; Woo WL; Parathai P; Aryupong C; Jitsangiam P; Rinchumphu D Sensors (Basel); 2021 Jul; 21(13):. PubMed ID: 34283153 [TBL] [Abstract][Full Text] [Related]
8. Deep learning methods for protein torsion angle prediction. Li H; Hou J; Adhikari B; Lyu Q; Cheng J BMC Bioinformatics; 2017 Sep; 18(1):417. PubMed ID: 28923002 [TBL] [Abstract][Full Text] [Related]
9. Linear and Non-linear Dimensionality-Reduction Techniques on Full Hand Kinematics. Portnova-Fahreeva AA; Rizzoglio F; Nisky I; Casadio M; Mussa-Ivaldi FA; Rombokas E Front Bioeng Biotechnol; 2020; 8():429. PubMed ID: 32432105 [TBL] [Abstract][Full Text] [Related]
10. Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology. Hudson IL Methods Mol Biol; 2021; 2190():167-184. PubMed ID: 32804365 [TBL] [Abstract][Full Text] [Related]
11. Retention time prediction for small samples based on integrating molecular representations and adaptive network. Wang X; Zheng F; Sheng M; Xu G; Lin X J Chromatogr B Analyt Technol Biomed Life Sci; 2023 Feb; 1217():123624. PubMed ID: 36780745 [TBL] [Abstract][Full Text] [Related]
12. Foundations of Machine Learning-Based Clinical Prediction Modeling: Part V-A Practical Approach to Regression Problems. Staartjes VE; Kernbach JM Acta Neurochir Suppl; 2022; 134():43-50. PubMed ID: 34862526 [TBL] [Abstract][Full Text] [Related]
13. Exploring the potential of in silico machine learning tools for the prediction of acute Daphnia magna nanotoxicity. Balraadjsing S; Peijnenburg WJGM; Vijver MG Chemosphere; 2022 Nov; 307(Pt 2):135930. PubMed ID: 35961453 [TBL] [Abstract][Full Text] [Related]
14. Development and validation of a meta-learner for combining statistical and machine learning prediction models in individuals with depression. Liu Q; Salanti G; De Crescenzo F; Ostinelli EG; Li Z; Tomlinson A; Cipriani A; Efthimiou O BMC Psychiatry; 2022 May; 22(1):337. PubMed ID: 35578254 [TBL] [Abstract][Full Text] [Related]
15. Cochlear Implantation in Postlingually Deaf Adults is Time-sensitive Towards Positive Outcome: Prediction using Advanced Machine Learning Techniques. Kim H; Kang WS; Park HJ; Lee JY; Park JW; Kim Y; Seo JW; Kwak MY; Kang BC; Yang CJ; Duffy BA; Cho YS; Lee SY; Suh MW; Moon IJ; Ahn JH; Cho YS; Oh SH; Chung JW Sci Rep; 2018 Dec; 8(1):18004. PubMed ID: 30573747 [TBL] [Abstract][Full Text] [Related]
16. On the Use of Machine Learning Models for Prediction of Compressive Strength of Concrete: Influence of Dimensionality Reduction on the Model Performance. Wan Z; Xu Y; Šavija B Materials (Basel); 2021 Feb; 14(4):. PubMed ID: 33546376 [TBL] [Abstract][Full Text] [Related]
17. Machine learning for toxicity characterization of organic chemical emissions using USEtox database: Learning the structure of the input space. Marvuglia A; Kanevski M; Benetto E Environ Int; 2015 Oct; 83():72-85. PubMed ID: 26101085 [TBL] [Abstract][Full Text] [Related]