AIMC Topic: Empirical Research

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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...
Causality Regression Analysis Propensity Score Observation Middle Aged Treatment Outcome Aged Male Algorithms Female Humans Machine Learning Empirical Research
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An investigation into the usefulness of different empirical modeling techniques for better control of spray-on fluidized bed melt granulation.

International journal of pharmaceutics Nov 10, 2015
Melt granulation in fluid bed processors is an emerging technique, but literature data regarding the modeling of this granulation method are lacking. In the present study different techniques (response surface analysis, multilayer perceptron neural n...
Chemistry, Pharmaceutical Polyethylene Glycols Empirical Research Neural Networks, Computer Viscosity
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Multicriteria Personnel Selection by the Modified Fuzzy VIKOR Method.

TheScientificWorldJournal Sep 30, 2015
Personnel evaluation is an important process in human resource management. The multicriteria nature and the presence of both qualitative and quantitative factors make it considerably more complex. In this study, a fuzzy hybrid multicriteria decision-...
Linguistics Empirical Research Personnel Selection Algorithms Humans Fuzzy Logic
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Artificial intelligence and clinical decision support: clinicians' perspectives on trust, trustworthiness, and liability.

Medical law review Nov 27, 2023
Artificial intelligence (AI) could revolutionise health care, potentially improving clinician decision making and patient safety, and reducing the impact of workforce shortages. However, policymakers and regulators have concerns over whether AI and c...
Humans Artificial Intelligence Liability, Legal Patient Safety Empirical Research Trust
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Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework.

Journal of the American Medical Informatics Association : JAMIA Jun 20, 2023
OBJECTIVE: To retrieve and appraise studies of deployed artificial intelligence (AI)-based sepsis prediction algorithms using systematic methods, identify implementation barriers, enablers, and key decisions and then map these to a novel end-to-end c...
Sepsis Empirical Research Artificial Intelligence Machine Learning Humans Algorithms Adult
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Toward Responsible Artificial Intelligence in Long-Term Care: A Scoping Review on Practical Approaches.

The Gerontologist Jan 24, 2023
BACKGROUND AND OBJECTIVES: Artificial intelligence (AI) is widely positioned to become a key element of intelligent technologies used in the long-term care (LTC) for older adults. The increasing relevance and adoption of AI has encouraged debate over...
Databases, Factual Aged Humans Artificial Intelligence Long-Term Care Research Personnel Empirical Research
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Clinical Medical Ethics: How Did We Start? Where Are We Heading?

The Journal of clinical ethics Jan 1, 2022
The author presents his view of the start of clinical medical ethics and ideas on where the broader field of bioethics is heading. In addition to clinical medical ethics, people with training in clinical ethics can enlarge the scope of their work in ...
Empirical Research Ethics, Clinical Bioethics Ethics, Medical Humans Artificial Intelligence
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Evaluating Representation Learning and Graph Layout Methods for Visualization.

IEEE computer graphics and applications Jan 1, 2022
Graphs and other structured data have come to the forefront in machine learning over the past few years due to the efficacy of novel representation learning methods boosting the prediction performance in various tasks. Representation learning methods...
Research Design Empirical Research Machine Learning Algorithms
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Machine Learning, Predictive Analytics, and Clinical Practice: Can the Past Inform the Present?

JAMA Dec 17, 2019
Evidence-Based Medicine Empirical Research Humans Algorithms Machine Learning Prognosis
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Non-Gaussian Methods for Causal Structure Learning.

Prevention science : the official journal of the Society for Prevention Research Apr 1, 2019
Causal structure learning is one of the most exciting new topics in the fields of machine learning and statistics. In many empirical sciences including prevention science, the causal mechanisms underlying various phenomena need to be studied. Neverth...
Causality Machine Learning Empirical Research
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