Development, evaluation and comparison of machine learning algorithms for predicting in-hospital patient charges for congestive heart failure exacerbations, chronic obstructive pulmonary disease exacerbations and diabetic ketoacidosis

2024-9-12

Private pathological assessment via machine learning and homomorphic encryption

2024-9-10

Knowledge-slanted random forest method for high-dimensional data and small sample size with a feature selection application for gene expression data

2024-9-10

Enhanced labor pain monitoring using machine learning and ECG waveform analysis for uterine contraction-induced pain

2024-9-7

The goldmine of GWAS summary statistics: a systematic review of methods and tools

2024-9-5

QIGTD: identifying critical genes in the evolution of lung adenocarcinoma with tensor decomposition

2024-9-4

Processing imbalanced medical data at the data level with assisted-reproduction data as an example

2024-9-4

Seven quick tips for gene-focused computational pangenomic analysis

2024-9-3

Deep learning for automatic calcium detection in echocardiography

2024-8-28

Integrating transcriptomics and proteomics to analyze the immune microenvironment of cytomegalovirus associated ulcerative colitis and identify relevant biomarkers

2024-8-27

Understanding predictions of drug profiles using explainable machine learning models

2024-8-1

Modelling the nicotine pharmacokinetic profile for e-cigarettes using real time monitoring of consumers’ physiological measurements and mouth level exposure

2024-7-17

Construction and application of medication reminder system: intelligent generation of universal medication schedule

2024-7-15

Building RadiologyNET: an unsupervised approach to annotating a large-scale multimodal medical database

2024-7-12

Transcriptome- and DNA methylation-based cell-type deconvolutions produce similar estimates of differential gene expression and differential methylation

2024-7-11

Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis

2024-7-1

Electronic medical records imputation by temporal Generative Adversarial Network

2024-6-26

Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis

2024-6-22

Minimization of occurrence of retained surgical items using machine learning and deep learning techniques: a review

2024-6-18

Using GPT-4 to write a scientific review article: a pilot evaluation study

2024-6-18

Unveiling wearables: exploring the global landscape of biometric applications and vital signs and behavioral impact

2024-6-11

A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records

2024-5-25

The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data

2024-5-21

Machine-learning-based models to predict cardiovascular risk using oculomics and clinic variables in KNHANES

2024-4-22

Decoding dynamic miRNA:ceRNA interactions unveils therapeutic insights and targets across predominant cancer landscapes

2024-4-17

Evaluation of network-guided random forest for disease gene discovery

2024-4-16

MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder

2024-3-5

Interpreting drug synergy in breast cancer with deep learning using target-protein inhibition profiles

2024-2-29

Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis

2024-2-28

Assessment of the causal relationship between gut microbiota and cardiovascular diseases: a bidirectional Mendelian randomization analysis

2024-2-26

A network-based drug prioritization and combination analysis for the MEK5/ERK5 pathway in breast cancer

2024-2-21

m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models

2024-2-15

Revealing third-order interactions through the integration of machine learning and entropy methods in genomic studies

2024-1-30

Antibody selection strategies and their impact in predicting clinical malaria based on multi-sera data

2024-1-25

Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records

2024-1-5

Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S

2023-12-14

6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site

2023-11-27

Endoscopy-based IBD identification by a quantized deep learning pipeline

2023-11-25

DeepAutoGlioma: a deep learning autoencoder-based multi-omics data integration and classification tools for glioma subtyping

2023-11-15

Research agenda for using artificial intelligence in health governance: interpretive scoping review and framework

2023-10-31

Correction: A prognostic model based on seven immune-related genes predicts the overall survival of patients with hepatocellular carcinoma

2023-10-26

Prescription pattern analysis of Type 2 Diabetes Mellitus: a cross-sectional study in Isfahan, Iran

2023-10-20

Attention-based dual-path feature fusion network for automatic skin lesion segmentation

2023-10-9

Quantum analysis of squiggle data

2023-10-6

Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods

2023-9-26

STAR_outliers: a python package that separates univariate outliers from non-normal distributions

2023-9-4

Machine learning based study for the classification of Type 2 diabetes mellitus subtypes

2023-8-22

Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication

2023-7-22

Inverse problem for parameters identification in a modified SIRD epidemic model using ensemble neural networks

2023-7-18

Neural network-based prognostic predictive tool for gastric cardiac cancer: the worldwide retrospective study

2023-7-18