Yearly Publication Trends - machine learning

Year	Publication Count
2024	39809
2023	96654
2022	47139
2021	31359
2020	20899
2019	13218
2018	6292
2017	3670
2016	2506
2015	1604
2014	1268

Relevant Publications

Discrimination of multiple sclerosis using scanning laser ophthalmoscopy images with autoencoder-based feature extraction.

Issue Release: 2024

Machine Learning for Single-Molecule Localization Microscopy: From Data Analysis to Quantification.

Issue Release: 2024

Exploring cellular diversity in lung adenocarcinoma epithelium: Advancing prognostic methods and immunotherapeutic strategies.

Issue Release: 2024

Deriving phenotype-representative left ventricular flow patterns by reduced-order modeling and classification.

Issue Release: 2024

A study of forecasting the Nephila clavipes silk fiber\'s ultimate tensile strength using machine learning strategies.

Issue Release: 2024

Development and Optimization of Machine Learning Algorithms for Predicting In-hospital Patient Charges for Congestive Heart Failure Exacerbations, Chronic Obstructive Pulmonary Disease Exacerbations and Diabetic Ketoacidosis.

Issue Release: 2024

Identification of TNFAIP6 as a reliable prognostic indicator of low-grade glioma.

Issue Release: 2024

Driver drowsiness is associated with altered facial thermal patterns: Machine learning insights from a thermal imaging approach.

Issue Release: 2024

Identification of diagnostic signature and immune microenvironment subtypes of venous thromboembolism.

Issue Release: 2024

Applications of MRI in Schizophrenia: Current Progress in Establishing Clinical Utility.

Issue Release: 2024

Establishing and clinically validating a machine learning model for predicting unplanned reoperation risk in colorectal cancer.

Issue Release: 2024

Identification of an ANCA-Associated Vasculitis Cohort Using Deep Learning and Electronic Health Records.

Issue Release: 2024

ViViEchoformer: Deep Video Regressor Predicting Ejection Fraction.

Issue Release: 2024

Predicting cerebrovascular age and its clinical relevance: Modeling using 3D morphological features of brain vessels.

Issue Release: 2024

Construction of a predictive model for postoperative hospitalization time in colorectal cancer patients based on interpretable machine learning algorithm: a prospective preliminary study.

Issue Release: 2024

CPSign: conformal prediction for cheminformatics modeling.

Issue Release: 2024

Can Electrochemical Impedance Spectroscopy be Replaced by Direct Current Techniques in Battery Diagnosis?

Issue Release: 2024

Use of Real-World Data and Machine Learning to Screen for Maternal and Paternal Characteristics Associated with Cardiac Malformations.

Issue Release: 2024

Association between machine learning-assisted heavy metal exposures and diabetic kidney disease: a cross-sectional survey and Mendelian randomization analysis.

Issue Release: 2024

A machine learning radiomics based on enhanced computed tomography to predict neoadjuvant immunotherapy for resectable esophageal squamous cell carcinoma.

Issue Release: 2024