Public Health & Policy

Ethics

Latest AI and machine learning research in ethics for healthcare professionals.

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Machine Learning Models for Genetic Risk Assessment of Infants with Non-syndromic Orofacial Cleft.

The isolated type of orofacial cleft, termed non-syndromic cleft lip with or without cleft palate (N...

Evaluation of growth and sporulation of a non-toxigenic strain of Clostridioides difficile (Z31) and its shelf viability.

The oral administration of non-toxigenic strains of Clostridioides difficile (NTCD) is currently sho...

Non-invasive prediction of blood glucose trends during hypoglycemia.

Over the last four decades, there has been a pursuit for a non-invasive solution for glucose measure...

Initial results of pulmonary resection after neoadjuvant nivolumab in patients with resectable non-small cell lung cancer.

OBJECTIVE: We conducted a phase I trial of neoadjuvant nivolumab, a monoclonal antibody to the progr...

Identifying Similar Non-Lattice Subgraphs in Gene Ontology based on Structural Isomorphism and Semantic Similarity of Concept Labels.

Non-Lattice Subgraphs (NLSs) are graph fragments of a terminology which violates the lattice propert...

Application of Machine Learning Methods to Predict Non-Alcoholic Steatohepatitis (NASH) in Non-Alcoholic Fatty Liver (NAFL) Patients.

Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide. N...

Improving the calling of non-invasive prenatal testing on 13-/18-/21-trisomy by support vector machine discrimination.

With the advance of next-generation sequencing (NGS) technologies, non-invasive prenatal testing (NI...

A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning.

Cervical spondylosis (CS), a most common orthopedic diseases, is mainly identified by the doctor's j...

Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors.

Transcription factors (TFs) are the major components of human gene regulation. In particular, they b...

Localization of Ventricular Activation Origin from the 12-Lead ECG: A Comparison of Linear Regression with Non-Linear Methods of Machine Learning.

We have previously developed an automated localization method based on multiple linear regression (M...

Disparities in the Treatment and Outcome of Stage I Non-Small-Cell Lung Cancer in the 21st Century.

BACKGROUND: African American (AA) individuals are less likely to receive treatment and more likely t...

Gene Ontology-based function prediction of long non-coding RNAs using bi-random walk.

BACKGROUND: With the development of sequencing technology, more and more long non-coding RNAs (lncRN...

Measurement and immunophenotyping of pleural fluid EpCAM-positive cells and clusters for the management of non-small cell lung cancer patients.

OBJECTIVES: A malignant pleural effusion (MPE) is a common complication in non-small cell lung cance...

SVM-RFE: selection and visualization of the most relevant features through non-linear kernels.

BACKGROUND: Support vector machines (SVM) are a powerful tool to analyze data with a number of predi...

Machine learning combined with non-targeted LC-HRMS analysis for a risk warning system of chemical hazards in drinking water: A proof of concept.

Guaranteeing clean drinking water to the global population is becoming more challenging, because of ...

Non-directed bronchial lavage is a safe method for sampling the respiratory tract in critically ill patient.

Ventilated patients are at risk of acquiring ventilator-associated pneumonia. Various techniques are...

Kafnets: Kernel-based non-parametric activation functions for neural networks.

Neural networks are generally built by interleaving (adaptable) linear layers with (fixed) nonlinear...

The use of machine learning in the study of suicidal and non-suicidal self-injurious thoughts and behaviors: A systematic review.

BACKGROUND: Machine learning techniques offer promise to improve suicide risk prediction. In the cur...

Wheeze type classification using non-dyadic wavelet transform based optimal energy ratio technique.

BACKGROUND AND OBJECTIVE: Wheezes in pulmonary sounds are anomalies which are often associated with ...

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