Improved Data Accuracy: - Neonatal Disorders

Relevant Publications

Testing the Ce Limit of Mass Bias Correction Using Nd/Nd as Normalizing Ratio in Radiogenic Neodymium Isotope Analysis by MC-ICP-MS.

Issue Release: 2025

Investigating the Differential Impact of Psychosocial Factors by Patient Characteristics and Demographics on Veteran Suicide Risk Through Machine Learning Extraction of Cross-Modal Interactions.

Issue Release: 2025

Towards improved accuracy of Hirshfeld atom refinement with an alternative electron density partition.

Issue Release: 2025

Improving the accuracy of genomic prediction in dairy cattle using the biologically annotated neural networks framework.

Issue Release: 2024

Retrospective analysis of the clinical utility of multi-cytokine profiles in smear-negative pulmonary tuberculosis.

Issue Release: 2024

Machine learning algorithms for predicting COVID-19 mortality in Ethiopia.

Issue Release: 2024

Machine learning for the advancement of genome-scale metabolic modeling.

Issue Release: 2024

Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data.

Issue Release: 2024

Unravelling the impact of soil data quality on species distribution models of temperate forest woody plants.

Issue Release: 2024

Artificial intelligence in veterinary diagnostic imaging: Perspectives and limitations.

Issue Release: 2024

Basketball technique action recognition using 3D convolutional neural networks.

Issue Release: 2024

Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system.

Issue Release: 2024

Developing a three stage coordinated approach to enhance efficiency and reliability of virtual power plants.

Issue Release: 2024

Modified Roller Compaction Model to Account for Roll Speed Effect on Powder Compaction in Dry Granulation Process.

Issue Release: 2024

Forecasting of compound ocean-fluvial floods using machine learning.

Issue Release: 2024

A novel interpretable machine learning model approach for the prediction of TiO photocatalytic degradation of air contaminants.

Issue Release: 2024

A miRNA-disease association prediction model based on tree-path global feature extraction and fully connected artificial neural network with multi-head self-attention mechanism.

Issue Release: 2024

Developing an optimal stratification model for colorectal cancer screening and reducing racial disparities in multi-center population-based studies.

Issue Release: 2024

The effects of radiofrequency exposure on adverse female reproductive outcomes: A systematic review of human observational studies with dose-response meta-analysis.

Issue Release: 2024

The levels of women\'s awareness, experience, acceptability and preference for Vaginal Human Papillomavirus (HPV) self-sampling in three provinces of China: a cross-sectional study.

Issue Release: 2024

What is Accreditation?

Why is Pediatric Psychiatry Important?

How Can Parents Use These Materials Effectively?

What are the signs of an allergic reaction?

How are Memories Formed in Children?

How are Breathing Difficulties Treated?

When are SABAs Used?

How Can Nitrate Exposure Be Prevented?

What are Common Findings and Their Implications?

How do CDS Tools Improve Pediatric Care?

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