AI Medical Compendium Journal:
Journal of evaluation in clinical practice

Showing 21 to 30 of 43 articles

Machine learning's feet of clay.

Journal of evaluation in clinical practice May 21, 2019
Humans Artificial Intelligence Machine Learning Clay
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Robotic dispensing improves patient safety, inventory management, and staff satisfaction in an outpatient hospital pharmacy.

Journal of evaluation in clinical practice Aug 22, 2018
RATIONALE, AIMS AND OBJECTIVES: Implementation of robotic systems in outpatient hospital pharmacies is uncommon. Other than cost, 1 of the barriers to widespread adoption is the lack of definitive evidence that this technology actually reduces dispen...
Attitude of Health Personnel Robotics Safety Management Spain Humans Patient Safety Information Technology Drug Prescriptions Outpatients Medication Errors Pharmacy Service, Hospital
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Using machine learning to evaluate treatment effects in multiple-group interrupted time series analysis.

Journal of evaluation in clinical practice Jun 11, 2018
RATIONALE, AIMS, AND OBJECTIVES: Interrupted time series analysis (ITSA) is a popular evaluation methodology in which a single treatment unit's outcome is studied over time, and the intervention is expected to "interrupt" the level and/or trend of th...
Interrupted Time Series Analysis Smoking Prevention Research Design Treatment Outcome Evaluation Studies as Topic Discriminant Analysis California Propensity Score Program Evaluation Commerce Humans Machine Learning
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Towards a new classification of stable phase schizophrenia into major and simple neuro-cognitive psychosis: Results of unsupervised machine learning analysis.

Journal of evaluation in clinical practice May 23, 2018
RATIONALE: Deficit schizophrenia, as defined by the Schedule for Deficit Syndrome, may represent a distinct diagnostic class defined by neurocognitive impairments coupled with changes in IgA/IgM responses to tryptophan catabolites (TRYCATs). Adequate...
Cytokines Female Adult Male Humans Unsupervised Machine Learning Patient Acuity Schizophrenia Psychotic Disorders Middle Aged Quality of Life Psychiatric Status Rating Scales Inflammation Neurocognitive Disorders Neuroimmunomodulation Tryptophan Schizophrenic Psychology Behavioral Symptoms Cognitive Reserve
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Estimating causal effects for survival (time-to-event) outcomes by combining classification tree analysis and propensity score weighting.

Journal of evaluation in clinical practice Dec 12, 2017
RATIONALE, AIMS AND OBJECTIVES: A common approach to assessing treatment effects in nonrandomized studies with time-to-event outcomes is to estimate propensity scores and compute weights using logistic regression, test for covariate balance, and then...
Proportional Hazards Models Propensity Score Monte Carlo Method Age Factors Models, Statistical Decision Trees Health Services Heart Failure Sex Factors Patient Readmission Survival Analysis Middle Aged Comorbidity Time Factors Socioeconomic Factors Machine Learning Female Pulmonary Disease, Chronic Obstructive Male Humans
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Identifying causal mechanisms in health care interventions using classification tree analysis.

Journal of evaluation in clinical practice Nov 3, 2017
RATIONALE, AIMS, AND OBJECTIVES: Mediation analysis identifies causal pathways by testing the relationships between the treatment, the outcome, and an intermediate variable that mediates the relationship between the treatment and outcome. This paper ...
Middle Aged Depression Age Factors Models, Statistical Employment Outcome and Process Assessment, Health Care Decision Trees Sex Factors Machine Learning Humans Female Adult Male
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Modeling time-to-event (survival) data using classification tree analysis.

Journal of evaluation in clinical practice Jul 3, 2017
RATIONALE, AIMS, AND OBJECTIVES: Time to the occurrence of an event is often studied in health research. Survival analysis differs from other designs in that follow-up times for individuals who do not experience the event by the end of the study (cal...
Cardiovascular Diseases Middle Aged Time Factors Body Mass Index Age Factors Decision Trees Blood Pressure Cholesterol Machine Learning Computer Simulation Aged Adult Humans Sex Factors Survival Analysis Proportional Hazards Models
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Using classification tree analysis to generate propensity score weights.

Journal of evaluation in clinical practice Mar 28, 2017
RATIONALE, AIMS AND OBJECTIVES: In evaluating non-randomized interventions, propensity scores (PS) estimate the probability of assignment to the treatment group given observed characteristics. Machine learning algorithms have been proposed as an alte...
Data Interpretation, Statistical Propensity Score Monte Carlo Method Computer Simulation Humans Logistic Models Machine Learning Observational Studies as Topic Models, Statistical
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Combining machine learning and propensity score weighting to estimate causal effects in multivalued treatments.

Journal of evaluation in clinical practice Jul 15, 2016
RATIONALE, AIMS AND OBJECTIVES: Interventions with multivalued treatments are common in medical and health research; examples include comparing the efficacy of competing interventions and contrasting various doses of a drug. In recent years, there ha...
Treatment Outcome Observation Humans Causality Female Machine Learning Regression Analysis Aged Empirical Research Algorithms Propensity Score Male Middle Aged
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Combining machine learning and matching techniques to improve causal inference in program evaluation.

Journal of evaluation in clinical practice Jun 29, 2016
RATIONALE, AIMS AND OBJECTIVES: Program evaluations often utilize various matching approaches to emulate the randomization process for group assignment in experimental studies. Typically, the matching strategy is implemented, and then covariate balan...
Chronic Disease Discriminant Analysis Adult Random Allocation Humans Program Evaluation Male Propensity Score Machine Learning Middle Aged Algorithms Causality Female
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