Pain Management

Addiction Theories and Constructs: a new series.

Predicting inadequate postoperative pain management in depressed patients: A machine learning approach.

Widely-prescribed prodrug opioids (e.g., hydrocodone) require conversion by liver enzyme CYP-2D6 to ...

Hydroxytyrosol: The Phytochemical Responsible for Bioactivity of Traditionally used Olive Pits.

The fruits of L. is widely consumed as food, and olive pits are utilized in folk medicine to reliev...

Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text.

BACKGROUND: Extracting relations between important clinical entities is critical but very challengin...

Natural Language Processing-Identified Problem Opioid Use and Its Associated Health Care Costs.

Use of prescription opioids and problems of abuse and addiction have increased over the past decade....

Machine learning for prediction of sustained opioid prescription after anterior cervical discectomy and fusion.

BACKGROUND CONTEXT: The severity of the opioid epidemic has increased scrutiny of opioid prescribing...

Machine learning vs addiction therapists: A pilot study predicting alcohol dependence treatment outcome from patient data in behavior therapy with adjunctive medication.

BACKGROUND AND OBJECTIVES: Clinical staff providing addiction treatment predict patient outcome poor...

The Importance of G-protein Coupled Estrogen Receptor in Patients With Fibromyalgia.

OBJECTIVES: This study aims to analyze the G-protein coupled estrogen receptor (GPER/GPR30) activity...

A Deep Neural Network-Based Pain Classifier Using a Photoplethysmography Signal.

Side effects occur when excessive or low doses of analgesics are administered compared to the requir...

Exercise-Associated Hyponatremia.

Exercise-associated hyponatremia (EAH) refers to below-normal serum sodium concentrations [Na+] that...

Binomial Logistic Regression and Artificial Neural Network Methods to Classify Opioid-Dependent Subjects and Control Group Using Quantitative EEG Power Measures.

Logistic regression (LR) and artificial neural networks (ANNs) are widely referred approaches in med...

Artificial neural networks in the selection of shoe lasts for people with mild diabetes.

This research addressed the selection of shoe lasts for footwear design to help relieve the pain ass...

Using neuroimaging to predict relapse in stimulant dependence: A comparison of linear and machine learning models.

OBJECTIVE: Relapse rates are consistently high for stimulant user disorders. In order to obtain prog...

Prediction of TF-Binding Site by Inclusion of Higher Order Position Dependencies.

Most proposed methods for TF-binding site (TFBS) predictions only use low order dependencies for pre...

EEG-Based Spatio-Temporal Convolutional Neural Network for Driver Fatigue Evaluation.

Driver fatigue evaluation is of great importance for traffic safety and many intricate factors would...

Support vector machine-based multivariate pattern classification of methamphetamine dependence using arterial spin labeling.

Arterial spin labeling (ASL) magnetic resonance imaging has been widely applied to identify cerebral...

Sex Differences in Nociceptin/Orphanin FQ Peptide Receptor-Mediated Pain and Anxiety Symptoms in a Preclinical Model of Post-traumatic Stress Disorder.

Nociceptin/Orphanin FQ (N/OFQ) is a neuropeptide that modulates pain transmission, learning/memory, ...

Feasibility of a Support Vector Machine Classifier for Myofascial Pain Syndrome: Diagnostic Case-Control Study.

OBJECTIVES: Myofascial pain syndrome (MPS) is the most common cause of chronic pain worldwide. The d...

Machine Learning Models for the Prediction of Chemotherapy-Induced Peripheral Neuropathy.

PURPOSE: Chemotherapy-induced peripheral neuropathy (CIPN) is a common adverse side effect of cancer...

Pain-Related Fear-Dissociable Neural Sources of Different Fear Constructs.

Fear of pain demonstrates significant prognostic value regarding the development of persistent muscu...

Effect of 8% lidocaine spray on the sensory and pain thresholds of the skin of the face and hands evaluated by quantitative sensory testing.

BACKGROUND: Recently, we examined the effects of 2% lidocaine gel on the tactile sensory and pain th...