Public Health & Policy

Ethics

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

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Non-fragile H∞ synchronization of memristor-based neural networks using passivity theory.

In this paper, we formulate and investigate the mixed H∞ and passivity based synchronization criteri...

Non-Invasive, Temporally Discrete Feedback of Object Contact and Release Improves Grasp Control of Closed-Loop Myoelectric Transradial Prostheses.

Human grasping and manipulation control critically depends on tactile feedback. Without this feedbac...

When Should We Use Care Robots? The Nature-of-Activities Approach.

When should we use care robots? In this paper we endorse the shift from a simple normative approach ...

A Comprehensive Review of Complication Rates After Surgery for Adult Deformity: A Reference for Informed Consent.

OBJECTIVE: An up-to-date review of recent literatures and a comprehensive reference for informed con...

A non-penalty recurrent neural network for solving a class of constrained optimization problems.

In this paper, we explain a methodology to analyze convergence of some differential inclusion-based ...

A novel fuzzy logic-based image steganography method to ensure medical data security.

This study aims to secure medical data by combining them into one file format using steganographic m...

Validation of non-REM sleep stage decoding from resting state fMRI using linear support vector machines.

A growing body of literature suggests that changes in consciousness are reflected in specific connec...

Global O(t(-α)) stability and global asymptotical periodicity for a non-autonomous fractional-order neural networks with time-varying delays.

The present paper studies global O(t(-α)) stability and global asymptotical periodicity for a non-au...

Non-weight-based enoxaparin dosing subtherapeutic in trauma patients.

BACKGROUND: We report our experience dosing and monitoring enoxaparin with anti-factor Xa activity (...

Effects of non-uniform stiffness on the swimming performance of a passively-flexing, fish-like foil model.

Simple mechanical models emulating fish have been used recently to enable targeted study of individu...

lncRScan-SVM: A Tool for Predicting Long Non-Coding RNAs Using Support Vector Machine.

Functional long non-coding RNAs (lncRNAs) have been bringing novel insight into biological study, ho...

Detecting Lung Diseases from Exhaled Aerosols: Non-Invasive Lung Diagnosis Using Fractal Analysis and SVM Classification.

BACKGROUND: Each lung structure exhales a unique pattern of aerosols, which can be used to detect an...

Clinical implication of monitoring rivaroxaban and apixaban by using anti-factor Xa assay in patients with non-valvular atrial fibrillation.

BACKGROUND: Although patients taking non-vitamin K antagonist oral anticoagulants (NOACs) do not req...

Machine learning classification of medication adherence in patients with movement disorders using non-wearable sensors.

Medication non-adherence is a major concern in the healthcare industry and has led to increases in h...

Budget constrained non-monotonic feature selection.

Feature selection is an important problem in machine learning and data mining. We consider the probl...

LncRNA-ID: Long non-coding RNA IDentification using balanced random forests.

MOTIVATION: Long non-coding RNAs (lncRNAs), which are non-coding RNAs of length above 200 nucleotide...

Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality.

A challenging problem when studying a dynamical system is to find the interdependencies among its in...

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