Metabolomic machine learning predictor for diagnosis and ...

Metabolomic selection–based machine learning improves fruit taste ...

In order to do so, they used the genomic best linear unbiased prediction method (9) to predict the consumer sensory ratings from a subset of ...

Interpretable machine learning on metabolomics data reveals ...

The use of machine learning (ML) with metabolomics provides opportunities for the early diagnosis of disease. ... predict disease and ...

Lilikoi V2.0: a deep learning–enabled, personalized pathway-based ...

Metabolomics is an increasingly popular platform to systematically investigate metabolites as potential biomarkers for diseases [1]. With the rapid development ...

Integration of metabolomics and machine learning revealed ...

(A), Accuracy and AUC of machine learning models used to assess pemetrexed efficiency. (B) the AUC of ROC for diagnosing NSCLC, (C) the AUC of ...

Diagnostics of Thyroid Cancer Using Machine Learning and ... - MDPI

The objective of this research is, with the analysis of existing data of thyroid cancer (TC) metabolites, to develop a machine-learning model that can diagnose ...

Predicting human health from biofluid-based metabolomics using ...

This work trains machine learning models for health state-prediction in 35 human metabolomics studies, representing 148 individual data sets, and finds that ...

Machine learning-derived prediction model based on plasma ...

Machine learning-derived prediction model based on plasma metabolome for GC diagnosis a Design of the modeling workflow. LASSO regression and random forest ...

predicting diagnosis of coronary artery disease using automated ...

Selecting the optimal machine learning (ML) model for a given dataset is often challenging. Automated ML (AutoML) has emerged as a powerful tool for enabling ...

Covid-19 Automated Diagnosis and Risk Assessment through ...

The use of machine learning as a mean for the discrimination of diseases from mass spectrometric data aims to develop diagnostic and prognostic ...

A comparative evaluation of the generalised predictive ability of ...

Metabolomics is increasingly being used in the clinical setting for disease diagnosis, prognosis and risk prediction. Machine learning ...

Combining Machine Learning and Metabolomics to Identify Weight ...

At the end of the process, the method provides a Random Forest classifier, called diagnosis classifier, that can predict weight gain markers ...

Machine Learning and Artificial Intelligence in Metabolomics

Biomarker Identification: Discovering Metabolite Biomarkers for Disease Diagnosis and Prognosis: ... Metabolic Pathway Prediction: Inferring ...

Predictive Modeling for Metabolomics Data

Other Keywords. Metabolomics. Mass Spectrometry. Decision Tree. Diagnostic Techniques. Machine Learning. Differential Expression Analysis.

Machine learning approaches to the human metabolome in sepsis ...

Metabolic predictors and potential mediators of survival in sepsis have been incompletely characterized. We examined whether machine ...

Metabolomics-Based Machine Learning for Predicting Mortality

The three independent machine learning methods (logistic regression, XGBoost, Welch'test) identified 32 metabolites having the most im-pactful ...

AutoML Optimizes and Accelerates COVID-19 Predictive Modeling

Standard machine learning analysis of proteomic and metabolomic data from COVID-19 patients produced biosignatures which contain large numbers of predictors ...

Machine learning for screening active metabolites with ...

Metabolomics is increasingly used in environmental science, not only to understand the biological mechanisms of environmental stress on ...

Machine Learning in Metabolomics: Powerful Insights and ...

Clinical metabolomics: ML methods can be used to analyse the metabolomic data of patients or healthy individuals, and to provide diagnostic, ...

Machine Learning-Enabled Prediction of Metabolite Response in ...

Metabolomics has emerged as a promising discipline in pharmaceuticals and preventive healthcare, holding great potential for disease detection ...

Predictive Modeling for Metabolomics Data. - Abstract - Europe PMC

DT is also known as Classification and Regression Trees (CART), which was first introduced in the machine learning literature [33]. The main difference between ...