AI Medical Compendium Journal:
Journal of evaluation in clinical practice

Showing 31 to 40 of 43 articles

Using machine learning to model dose-response relationships.

Journal of evaluation in clinical practice May 30, 2016
RATIONALE, AIMS AND OBJECTIVES: Establishing the relationship between various doses of an exposure and a response variable is integral to many studies in health care. Linear parametric models, widely used for estimating dose-response relationships, h...
Isoproterenol Blood Flow Velocity Cardiotonic Agents Dose-Response Relationship, Drug Discriminant Analysis Humans Data Mining Machine Learning Algorithms Male
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Using machine learning to identify structural breaks in single-group interrupted time series designs.

Journal of evaluation in clinical practice Apr 19, 2016
RATIONALE, AIMS AND OBJECTIVES: Single-group interrupted time series analysis (ITSA) is a popular evaluation methodology in which a single unit of observation is being studied, the outcome variable is serially ordered as a time series and the interve...
Machine Learning Research Design Discriminant Analysis Humans Selection Bias Interrupted Time Series Analysis Female Adult Male Middle Aged
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Using machine learning to assess covariate balance in matching studies.

Journal of evaluation in clinical practice Mar 23, 2016
In order to assess the effectiveness of matching approaches in observational studies, investigators typically present summary statistics for each observed pre-intervention covariate, with the objective of showing that matching reduces the difference ...
Discriminant Analysis Adult Propensity Score Male Middle Aged Pilot Projects Observational Studies as Topic Humans Patient-Centered Care Machine Learning Research Design Algorithms Retrospective Studies Female
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Optimised Hybrid Attention-Based Capsule Network Integrated Three-Pathway Network for Chronic Disease Detection in Retinal Images.

Journal of evaluation in clinical practice Jun 1, 2025
BACKGROUND: Over the past 20 years, researchers have concentrated on generating retinal images as a means of detecting and classifying chronic diseases. Early diagnosis and treatment are essential to avoid chronic diseases. Manually grading retinal i...
Humans Diabetic Retinopathy Chronic Disease Fundus Oculi Retina Image Interpretation, Computer-Assisted Algorithms Deep Learning Image Processing, Computer-Assisted
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Machine Learning and Deep Learning in Detection of Neonatal Seizures: A Systematic Review.

Journal of evaluation in clinical practice Apr 1, 2025
BACKGROUND: Neonatal seizures are one of the most prevalent clinical manifestations of neurological conditions, requiring urgent intervention and detection. Machine learning (ML) and Deep Learning (DL) is an emerging promising tool for detecting and ...
Intensive Care Units, Neonatal ROC Curve Electroencephalography Seizures Humans Machine Learning Infant, Newborn Sensitivity and Specificity Deep Learning
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Machine Learning in Optimising Nursing Care Delivery Models: An Empirical Analysis of Hospital Wards.

Journal of evaluation in clinical practice Feb 1, 2025
OBJECTIVE: This study aims to assess the performance of machine learning (ML) techniques in optimising nurse staffing and evaluating the appropriateness of nursing care delivery models in hospital wards. The primary outcome measures include the adequ...
Humans Machine Learning COVID-19 Nursing Staff, Hospital Personnel Staffing and Scheduling Nursing Care Models, Nursing
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The Effect of Nursing Students' Artificial Intelligence Anxiety on Their Knowledge of Robotic Surgery: The Mediating Role of Individual Innovativeness.

Journal of evaluation in clinical practice Feb 1, 2025
AIMS: This study aims of determine the mediating role of individual innovativeness in the effect of nursing students' artificial intelligence anxiety on their robotic surgery knowledge level.
Robotic Surgical Procedures Clinical Competence Students, Nursing Health Knowledge, Attitudes, Practice Female Young Adult Adult Anxiety Surveys and Questionnaires Cross-Sectional Studies Humans Male Artificial Intelligence
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Improving Nursing Students' Learning Outcomes in Neonatal Resuscitation: A Quasi-Experimental Study Comparing AI-Assisted Care Plan Learning With Traditional Instruction.

Journal of evaluation in clinical practice Feb 1, 2025
AIM: The purpose of this study is to compare the efficacy of an artificial intelligence (AI)-based care plan learning strategy with standard training techniques in order to determine how it affects nursing students' learning results in newborn resusc...
Resuscitation Education, Nursing, Baccalaureate Students, Nursing Educational Measurement Turkey Female Infant, Newborn Young Adult Adult Male Clinical Competence Humans Artificial Intelligence
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Development and Content Analysis Protocol for Evaluating Artificial Intelligence in Drug-Related Information.

Journal of evaluation in clinical practice Feb 1, 2025
INTRODUCTION: Artificial intelligence (AI) has significant transformative potential across various sectors, particularly in health care. This study aims to develop a protocol for the content analysis of a method designed to assess AI applications in ...
Humans Drug-Related Side Effects and Adverse Reactions Artificial Intelligence Databases, Factual Drug Interactions
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Implications of Large Language Models for Clinical Practice: Ethical Analysis Through the Principlism Framework.

Journal of evaluation in clinical practice Feb 1, 2025
INTRODUCTION: The potential applications of large language models (LLMs)-a form of generative artificial intelligence (AI)-in medicine and health care are being increasingly explored by medical practitioners and health care researchers.
Humans Artificial Intelligence Language Ethical Analysis Social Justice Beneficence Ethics, Medical Informed Consent Personal Autonomy Principle-Based Ethics
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