AIMC Topic: Machine Learning

Clear Filters Showing 10031 to 10040 of 34417 articles

Fine-tuning inflow prediction models: integrating optimization algorithms and TRMM data for enhanced accuracy.

Water science and technology : a journal of the International Association on Water Pollution Research Jul 3, 2024
This research explores machine learning algorithms for reservoir inflow prediction, including long short-term memory (LSTM), random forest (RF), and metaheuristic-optimized models. The impact of feature engineering techniques such as discrete wavelet...
Machine Learning Algorithms Models, Theoretical
View on PubMed DOI

Predicting Successful Chronic Total Occlusion Crossing With Primary Antegrade Wiring Using Machine Learning.

JACC. Cardiovascular interventions Jul 3, 2024
BACKGROUND: There is limited data on predicting successful chronic total occlusion crossing using primary antegrade wiring (AW).
Percutaneous Coronary Intervention Coronary Occlusion Chronic Disease Predictive Value of Tests Machine Learning Registries Reproducibility of Results Humans Decision Support Techniques Risk Factors Female Time Factors Aged Male Treatment Outcome Middle Aged
View on PubMed DOI

Docking Score ML: Target-Specific Machine Learning Models Improving Docking-Based Virtual Screening in 155 Targets.

Journal of chemical information and modeling Jul 3, 2024
In drug discovery, molecular docking methods face challenges in accurately predicting energy. Scoring functions used in molecular docking often fail to simulate complex protein-ligand interactions fully and accurately leading to biases and inaccuraci...
Machine Learning Molecular Docking Simulation Drug Discovery Humans Drug Evaluation, Preclinical Antineoplastic Agents User-Computer Interface Ligands Proteins
View on PubMed DOI

Derivative Method to Detect Sleep and Awake States through Heart Rate Variability Analysis Using Machine Learning Algorithms.

Sensors (Basel, Switzerland) Jul 3, 2024
Sleep disorders can have harmful consequences in both the short and long term. They can lead to attention deficits, as well as cardiac, neurological and behavioral repercussions. One of the most widely used methods for assessing sleep disorders is po...
Sleep Polysomnography Female Male Humans Young Adult Heart Rate Machine Learning Adult Wakefulness Algorithms
View on PubMed DOI

Investigation of ferroptosis-associated molecular subtypes and immunological characteristics in lupus nephritis based on artificial neural network learning.

Arthritis research & therapy Jul 3, 2024
BACKGROUND: Lupus nephritis (LN) is a severe complication of systemic lupus erythematosus (SLE) with poor treatment outcomes. The role and underlying mechanisms of ferroptosis in LN remain largely unknown. We aimed to explore ferroptosis-related mole...
Neural Networks, Computer Machine Learning Prognosis Male Middle Aged Female Adult Humans Ferroptosis Lupus Nephritis
View on PubMed DOI

Prediction of chromosomal abnormalities in the screening of the first trimester of pregnancy using machine learning methods: a study protocol.

Reproductive health Jul 3, 2024
BACKGROUND: For women in the first trimester, amniocentesis or chorionic villus sampling is recommended for screening. Machine learning has shown increased accuracy over time and finds numerous applications in enhancing decision-making, patient care,...
Amniocentesis Adult Cross-Sectional Studies Pregnancy Trimester, First Prenatal Diagnosis Chromosome Disorders Iran Chromosome Aberrations Machine Learning Humans Pregnancy Female
View on PubMed DOI

Predicting dyslipidemia incidence: unleashing machine learning algorithms on Lifestyle Promotion Project data.

BMC public health Jul 3, 2024
BACKGROUND: Dyslipidemia, characterized by variations in plasma lipid profiles, poses a global health threat linked to millions of deaths annually.
Life Style Male Middle Aged Incidence Health Promotion Iran Dyslipidemias Algorithms Female Adult Humans Machine Learning
View on PubMed DOI

Discovery of urinary biosignatures for tuberculosis and nontuberculous mycobacteria classification using metabolomics and machine learning.

Scientific reports Jul 3, 2024
Nontuberculous mycobacteria (NTM) infection diagnosis remains a challenge due to its overlapping clinical symptoms with tuberculosis (TB), leading to inappropriate treatment. Herein, we employed noninvasive metabolic phenotyping coupled with comprehe...
Phenotype Biomarkers Aged Humans Machine Learning Metabolomics Models, Statistical Liquid Chromatography-Mass Spectrometry Metabolome Male Middle Aged ROC Curve Down-Regulation Up-Regulation Random Forest Tuberculosis Mycobacterium Infections, Nontuberculous Diagnosis, Differential Area Under Curve Amino Acids
View on PubMed DOI

Deriving general structure-activity/selectivity relationship patterns for different subfamilies of cyclin-dependent kinase inhibitors using machine learning methods.

Scientific reports Jul 3, 2024
Cyclin-dependent kinases (CDKs) play essential roles in regulating the cell cycle and are among the most critical targets for cancer therapy and drug discovery. The primary objective of this research is to derive general structure-activity relationsh...
Protein Kinase Inhibitors Cyclin-Dependent Kinases Humans Drug Discovery Structure-Activity Relationship Neural Networks, Computer Machine Learning
View on PubMed DOI

Advanced Modeling and Optimization Strategies for Process Synthesis.

Annual review of chemical and biomolecular engineering Jul 3, 2024
This article provides a systematic review of recent progress in optimization-based process synthesis. First, we discuss multiscale modeling frameworks featuring targeting approaches, phenomena-based modeling, unit operation-based modeling, and hybrid...
Machine Learning Algorithms
View on PubMed DOI
Popular Topics
Recent Journals