AIMC Topic: Observational Studies as Topic

Clear Filters Showing 41 to 50 of 53 articles

A Bayesian Approach to the G-Formula via Iterative Conditional Regression.

Statistics in medicine Jun 1, 2025
In longitudinal observational studies with time-varying confounders, the generalized computation algorithm formula (g-formula) is a principled tool to estimate the average causal effect of a treatment regimen. However, the standard non-iterative g-fo...
Humans Machine Learning Observational Studies as Topic Models, Statistical Algorithms Regression Analysis Computer Simulation Bayes Theorem Longitudinal Studies Causality
View on PubMed DOI

Optimal Vasopressin Initiation in Septic Shock: The OVISS Reinforcement Learning Study.

JAMA May 20, 2025
IMPORTANCE: Norepinephrine is the first-line vasopressor for patients with septic shock. When and whether a second agent, such as vasopressin, should be added is unknown.
Critical Illness Electronic Health Records Clinical Decision-Making Female Humans Datasets as Topic Shock, Septic Aged Reinforcement Machine Learning Practice Guidelines as Topic Observational Studies as Topic Male Norepinephrine Organ Dysfunction Scores Middle Aged Vasopressins Vasoconstrictor Agents Hospital Mortality
View on PubMed DOI

AI-DBS study: protocol for a longitudinal prospective observational cohort study of patients with Parkinson's disease for the development of neuronal fingerprints using artificial intelligence.

BMJ open May 16, 2025
INTRODUCTION: Deep brain stimulation (DBS) is a proven effective treatment for Parkinson's disease (PD). However, titrating DBS stimulation parameters is a labourious process and requires frequent hospital visits. Additionally, its current applicatio...
Research Design Prospective Studies Longitudinal Studies Observational Studies as Topic Humans Artificial Intelligence Algorithms Parkinson Disease Deep Brain Stimulation Subthalamic Nucleus
View on PubMed DOI

Machine learning of blood haemoglobin and haematocrit levels via smartphone conjunctiva photography in Kenyan pregnant women: a clinical study protocol.

BMJ open May 8, 2025
INTRODUCTION: Anaemia during pregnancy is a widespread health burden globally, especially in low- and middle-income countries, posing a serious risk to both maternal and neonatal health. The primary challenge is that anaemia is frequently undetected ...
Anemia Middle Aged Female Kenya Adolescent Humans Conjunctiva Photography Young Adult Smartphone Machine Learning Hemoglobins Pregnancy Complications, Hematologic Adult Observational Studies as Topic Pregnancy Hematocrit Cross-Sectional Studies Telemedicine
View on PubMed DOI

How Effective Are Machine Learning and Doubly Robust Estimators in Incorporating High-Dimensional Proxies to Reduce Residual Confounding?

Pharmacoepidemiology and drug safety May 1, 2025
BACKGROUND: Residual confounding presents a persistent challenge in observational studies, particularly in high-dimensional settings. High-dimensional proxy adjustment methods, such as the high-dimensional propensity score (hdPS), are widely used to ...
Likelihood Functions Confounding Factors, Epidemiologic Logistic Models Observational Studies as Topic Bias Propensity Score Humans Machine Learning Computer Simulation
View on PubMed DOI

Comparison of concordance between chuna manual therapy diagnosis methods (palpation, X-ray, artificial intelligence program) in lumbar spine: An exploratory, cross-sectional, prospective observational study protocol.

Medicine Dec 23, 2021
INTRODUCTION: Chuna manual therapy (CMT) is a type of manual medicine practiced by Korean medical doctors in South Korea. Spinal diagnosis in CMT uses a system that applies manual diagnostic and X-ray tests to detect specific vertebral malpositions, ...
X-Rays Medicine, Korean Traditional Musculoskeletal Manipulations Palpation Middle Aged Observational Studies as Topic Lumbar Vertebrae Humans Artificial Intelligence Female Adult Cross-Sectional Studies Male
View on PubMed DOI

AIPW: An R Package for Augmented Inverse Probability-Weighted Estimation of Average Causal Effects.

American journal of epidemiology Dec 1, 2021
An increasing number of recent studies have suggested that doubly robust estimators with cross-fitting should be used when estimating causal effects with machine learning methods. However, not all existing programs that implement doubly robust estima...
Software Design Humans Machine Learning Computer Simulation Causality Observational Studies as Topic Randomized Controlled Trials as Topic Data Interpretation, Statistical Bias
View on PubMed DOI

Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)-Driven Approach for Early Diagnosis of Late-Onset Alzheimer's Disease.

Journal of molecular neuroscience : MN Jul 1, 2021
Wearable Electronic Devices Mobile Applications Cognition Observational Studies as Topic Mutation Models, Biological Patient Selection Late Onset Disorders Asian People Clinical Trial Protocols as Topic Prospective Studies Humans Alzheimer Disease Medical History Taking Biomarkers Artificial Intelligence Ethnicity Memory Language Early Diagnosis Behavior Case-Control Studies Hong Kong Mental Status and Dementia Tests
View on PubMed DOI

Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2020
OBJECTIVE: Accurate electronic phenotyping is essential to support collaborative observational research. Supervised machine learning methods can be used to train phenotype classifiers in a high-throughput manner using imperfectly labeled data. We dev...
Data Science Humans Observational Studies as Topic Classification Electronic Health Records Supervised Machine Learning Medical Informatics
View on PubMed DOI

Re: An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening.

Journal of the National Cancer Institute Jan 1, 2020
Algorithms Female Deep Learning Cervix Uteri Observational Studies as Topic Early Detection of Cancer
View on PubMed DOI
Popular Topics
Recent Journals