Machine learning for predicting opioid use disorder from healthcare data: a systematic review
Introduction The US opioid epidemic has been one of the leading causes of injury-related
deaths according to the CDC Injury Center. The increasing availability of data and tools for …
deaths according to the CDC Injury Center. The increasing availability of data and tools for …
Using machine learning to study the effect of medication adherence in Opioid Use Disorder
D Warren, A Marashi, A Siddiqui, AA Eijaz, P Pradhan… - Plos one, 2022 - journals.plos.org
Background Opioid Use Disorder (OUD) and opioid overdose (OD) impose huge social and
economic burdens on society and health care systems. Research suggests that Medication …
economic burdens on society and health care systems. Research suggests that Medication …
Machine learning prediction of comorbid substance use disorders among people with bipolar disorder
V Oliva, M De Prisco, MT Pons-Cabrera… - Journal of clinical …, 2022 - mdpi.com
Substance use disorder (SUD) is a common comorbidity in individuals with bipolar disorder
(BD), and it is associated with a severe course of illness, making early identification of the …
(BD), and it is associated with a severe course of illness, making early identification of the …
Identifying factors associated with locomotive syndrome using machine learning methods: The third survey of the research on osteoarthritis/osteoporosis against …
E Nakahara, T Iidaka, A Chiba… - Geriatrics & …, 2024 - Wiley Online Library
Aim To identify factors associated with locomotive syndrome (LS) using medical
questionnaire data and machine learning. Methods A total of 1575 participants underwent …
questionnaire data and machine learning. Methods A total of 1575 participants underwent …
[HTML][HTML] Developing a Framework to Infer Opioid Use Disorder Severity From Clinical Notes to Inform Natural Language Processing Methods: Characterization Study
Background: Information regarding opioid use disorder (OUD) status and severity is
important for patient care. Clinical notes provide valuable information for detecting and …
important for patient care. Clinical notes provide valuable information for detecting and …
Opioid-related harms and care impacts of conventional and AI-based prescription management strategies: insights from leveraging agent-based modeling and …
N Shojaati, ND Osgood - Frontiers in Digital Health, 2023 - frontiersin.org
Introduction Like its counterpart to the south, Canada ranks among the top five countries with
the highest rates of opioid prescriptions. With many suffering from opioid use disorder first …
the highest rates of opioid prescriptions. With many suffering from opioid use disorder first …
Fake News Detection in Indonesian Popular News Portal Using Machine Learning For Visual Impairment
It has become a necessity for people to communicate with each other to complete their
needs. The exchange of information conveyed in communication often cannot be directly …
needs. The exchange of information conveyed in communication often cannot be directly …
[HTML][HTML] Predicting Patient Satisfaction With Medications for Treating Opioid Use Disorder: Case Study Applying Natural Language Processing to Reviews of …
Background Medication-assisted treatment (MAT) is an effective method for treating opioid
use disorder (OUD), which combines behavioral therapies with one of three Food and Drug …
use disorder (OUD), which combines behavioral therapies with one of three Food and Drug …
Development and validation of machine-learning algorithms predicting retention, overdoses, and all-cause mortality among US military veterans treated with …
C J. Hayes, N Bin Noor, RA Raciborski… - Journal of Addictive …, 2024 - Taylor & Francis
Background Buprenorphine for opioid use disorder (B-MOUD) is essential to improving
patient outcomes; however, retention is essential. Objective To develop and validate …
patient outcomes; however, retention is essential. Objective To develop and validate …
A comparative effectiveness study on opioid use disorder prediction using artificial intelligence and existing risk models
Opioid use disorder (OUD) is a leading cause of death in the United States placing a
tremendous burden on patients, their families, and health care systems. Artificial intelligence …
tremendous burden on patients, their families, and health care systems. Artificial intelligence …