AIMC Topic: Outcome Assessment, Health Care

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Using the Minnesota Multiphasic Personality Inventory-2 restructured form to predict functioning after treatment for borderline personality disorder: A machine learning approach.

Psychological assessment Jan 1, 2025
Insight into predictors of functioning after treatment for borderline personality disorder (BPD) is limited, despite growing recognition that more focus on other aspects of recovery, especially psychosocial functioning, is warranted. The present stud...
Female Young Adult Adult Humans Machine Learning Outcome Assessment, Health Care Borderline Personality Disorder MMPI Dialectical Behavior Therapy Male Middle Aged Treatment Outcome
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Will Generative AI Tools Improve Access to Reliable Health Information?

JAMA Apr 23, 2024
Public Health Informatics Electronic Health Records Public Health Access to Information Outcome Assessment, Health Care Humans Medical Informatics Artificial Intelligence Health Inequities
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Regulate Artificial Intelligence in Health Care by Prioritizing Patient Outcomes.

JAMA Feb 27, 2024
Humans Artificial Intelligence Health Priorities Delivery of Health Care Health Facilities Outcome Assessment, Health Care
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Clinical machine learning predicting best stroke rehabilitation responders to exoskeletal robotic gait rehabilitation.

NeuroRehabilitation Jan 1, 2024
BACKGROUND: Although clinical machine learning (ML) algorithms offer promising potential in forecasting optimal stroke rehabilitation outcomes, their specific capacity to ascertain favorable outcomes and identify responders to robotic-assisted gait t...
Stroke Gait Exercise Therapy Middle Aged Recovery of Function Robotics Gait Disorders, Neurologic Outcome Assessment, Health Care Exoskeleton Device Stroke Rehabilitation Machine Learning Prognosis Female Aged Adult Male Humans
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AI in Medicine-JAMA's Focus on Clinical Outcomes, Patient-Centered Care, Quality, and Equity.

JAMA Sep 5, 2023
Outcome Assessment, Health Care Quality of Health Care Editorial Policies Health Equity Patient-Centered Care Humans Artificial Intelligence Medicine
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Causes of Outcome Learning: a causal inference-inspired machine learning approach to disentangling common combinations of potential causes of a health outcome.

International journal of epidemiology Oct 13, 2022
Nearly all diseases are caused by different combinations of exposures. Yet, most epidemiological studies focus on estimating the effect of a single exposure on a health outcome. We present the Causes of Outcome Learning approach (CoOL), which seeks t...
Public Health Humans Causality Machine Learning Outcome Assessment, Health Care
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Machine Learning Methods in Health Economics and Outcomes Research-The PALISADE Checklist: A Good Practices Report of an ISPOR Task Force.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Jul 1, 2022
Advances in machine learning (ML) and artificial intelligence offer tremendous potential benefits to patients. Predictive analytics using ML are already widely used in healthcare operations and care delivery, but how can ML be used for health economi...
Humans Artificial Intelligence Checklist Machine Learning Outcome Assessment, Health Care Economics, Medical
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NLP-Assisted Pipeline for COVID-19 Core Outcome Set Identification Using ClinicalTrials.gov.

Studies in health technology and informatics Jun 6, 2022
Core outcome sets (COS) are necessary to ensure the systematic collection, metadata analysis and sharing the information across studies. However, development of an area-specific clinical research is costly and time consuming. ClinicalTrials.gov, as a...
COVID-19 Natural Language Processing Outcome Assessment, Health Care Clinical Trials as Topic Humans
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Comparison of Machine Learning Methods for Predicting Outcomes After In-Hospital Cardiac Arrest.

Critical care medicine Feb 1, 2022
OBJECTIVES: Prognostication of neurologic status among survivors of in-hospital cardiac arrests remains a challenging task for physicians. Although models such as the Cardiac Arrest Survival Post-Resuscitation In-hospital score are useful for predict...
Humans Heart Arrest Machine Learning Survivors Forecasting ROC Curve Area Under Curve Outcome Assessment, Health Care Male Middle Aged Cohort Studies Prognosis Female Aged
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Prediction of Early Symptom Remission in Two Independent Samples of First-Episode Psychosis Patients Using Machine Learning.

Schizophrenia bulletin Jan 21, 2022
BACKGROUND: Validated clinical prediction models of short-term remission in psychosis are lacking. Our aim was to develop a clinical prediction model aimed at predicting 4-6-week remission following a first episode of psychosis.
Adolescent Psychotic Disorders Young Adult Humans Models, Statistical Outcome Assessment, Health Care Cohort Studies Adult Prognosis Remission Induction Remission, Spontaneous Support Vector Machine Male Female Schizophrenia
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