ArticleScientific reports2023
Computational intelligence modeling of hyoscine drug solubility and solvent density in supercritical processing: gradient boosting, extra trees, and random forest models.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
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- Machine learning for quantitative LIBS analysis of aluminum alloys: a comparison of random forest, gradient boosting, and extremely randomized trees.Scientific reports · 2026Article
- From Tea to Topical Agent: Machine Learning and Bioinformatics Reveal KU DING Tea's Anti-UV Ingredients and Mechanisms.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Modelling of immune infiltration in prostate cancer treated with HDR-brachytherapy using Raman spectroscopy and machine learning.Scientific reports · 2025Article
- Intelligence modeling of solubility of raloxifene and density of solvent for green supercritical processing of medicines for enhanced solubility.Scientific reports · 2025Article
- From Preliminary Urinalysis to Decision Support: Machine Learning for UTI Prediction in Real-World Laboratory Data.Journal of personalized medicine · 2025Article
- Development of a Machine Learning Model to Predict Epidural-Related Maternal Fever During Labor Analgesia: A Multi-Algorithm Comparative Study with Prospective Implementation Framework.International journal of women's health · 2025Article
- Machine learning-based analysis of factors influencing surgical duration in type A aortic dissection.Frontiers in public health · 2025Article
- Clustering and classification for dry bean feature imbalanced data.Scientific reports · 2024Article
- Prediction model for survival of younger patients with breast cancer using the breast cancer public staging database.Scientific reports · 2024Article
- Determination of morphine sulfate anti-pain drug solubility in supercritical COScientific reports · 2024Article
- Research on predicting the driving forces of digital transformation in Chinese media companies based on machine learning.Scientific reports · 2024Article
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- Modeling based on machine learning to investigate flue gas desulfurization performance by calcium silicate absorbent in a sand bed reactor.Scientific reports · 2024Article
- Advanced modeling of pharmaceutical solubility in solvents using artificial intelligence techniques: assessment of drug candidate for nanonization processing.Frontiers in medicine · 2024Article
- Simulation and Optimization: A New Direction in Supercritical Technology Based Nanomedicine.Bioengineering (Basel, Switzerland) · 2023Review
- An ensemble-based machine learning solution for imbalanced multiclass dataset during lithology log generation.Scientific reports · 2023Article
- Machine learning analysis and risk prediction of weather-sensitive mortality related to cardiovascular disease during summer in Tokyo, Japan.Scientific reports · 2023Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This work presents the results of using tree-based models, including Gradient Boosting, Extra Trees, and Random Forest, to model the solubility of hyoscine drug and solvent density based on pressure and temperature as inputs. The models were trained on a dataset of hyoscine drug with known solubility and density values, optimized with WCA algorithm, and their accuracy was evaluated using R
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