AIMC Topic: Decision Support Techniques

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An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription.

Artificial intelligence in medicine Feb 9, 2018
BACKGROUND: The available antibiotic decision-making systems were developed from a physician's perspective. However, because infectious diseases are common, many patients desire access to knowledge via a search engine. Although the use of antibiotics...
Drug Prescriptions Drug Therapy, Computer-Assisted Anti-Bacterial Agents Clinical Decision-Making Reproducibility of Results Diagnosis, Computer-Assisted User-Computer Interface ROC Curve Decision Support Systems, Clinical Bacterial Infections Predictive Value of Tests Biological Ontologies Humans Machine Learning Decision Support Techniques
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Artificial Intelligence and Radiology: Collaboration Is Key.

Journal of the American College of Radiology : JACR Feb 2, 2018
Decision Support Techniques Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Radiology Information Systems Artificial Intelligence Optimism Algorithms Forecasting
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Machine Learning in Medical Imaging.

Journal of the American College of Radiology : JACR Feb 2, 2018
Advances in both imaging and computers have synergistically led to a rapid rise in the potential use of artificial intelligence in various radiological imaging tasks, such as risk assessment, detection, diagnosis, prognosis, and therapy response, as ...
Decision Support Techniques Precision Medicine Deep Learning Radiology Data Mining Terminology as Topic Humans Machine Learning Forecasting
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Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network.

Scientific reports Jan 26, 2018
Ultraviolet radiation (UVR) exposure and family history are major associated risk factors for the development of non-melanoma skin cancer (NMSC). The objective of this study was to develop and validate a multi-parameterized artificial neural network ...
Middle Aged ROC Curve Diagnostic Tests, Routine Early Diagnosis Humans Neural Networks, Computer Decision Support Techniques Female Skin Neoplasms Sensitivity and Specificity Male
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Improving the anesthetic process by a fuzzy rule based medical decision system.

Artificial intelligence in medicine Jan 5, 2018
OBJECTIVE: The main objective of this research is the design and implementation of a new fuzzy logic tool for automatic drug delivery in patients undergoing general anesthesia. The aim is to adjust the drug dose to the real patient needs using heuris...
Humans Decision Support Techniques Clinical Decision-Making Female Adult Fuzzy Logic Propofol Predictive Value of Tests Infusions, Intravenous Electroencephalography Male Middle Aged Time Factors Intraoperative Neurophysiological Monitoring Decision Support Systems, Clinical Brain Waves Consciousness Monitors Signal Processing, Computer-Assisted Anesthetics, Intravenous Infusion Pumps Anesthesia, Intravenous
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Bayesian averaging over Decision Tree models for trauma severity scoring.

Artificial intelligence in medicine Dec 21, 2017
Health care practitioners analyse possible risks of misleading decisions and need to estimate and quantify uncertainty in predictions. We have examined the "gold" standard of screening a patient's conditions for predicting survival probability, based...
Prognosis Clinical Decision-Making Female Risk Factors Male Wounds and Injuries Humans Predictive Value of Tests Artificial Intelligence Risk Assessment Bayes Theorem Decision Support Techniques Decision Support Systems, Clinical Databases, Factual Markov Chains Logistic Models Injury Severity Score United States Monte Carlo Method Decision Trees
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An algorithm for the classification of mRNA patterns in eosinophilic esophagitis: Integration of machine learning.

The Journal of allergy and clinical immunology Dec 19, 2017
BACKGROUND: Diagnostic evaluation of eosinophilic esophagitis (EoE) remains difficult, particularly the assessment of the patient's allergic status.
Child, Preschool Female Child Sensitivity and Specificity Decision Support Systems, Clinical Humans Single-Blind Method Male RNA, Messenger Machine Learning Registries Infant Factor Analysis, Statistical Algorithms Adolescent Decision Support Techniques Eosinophilic Esophagitis Genetic Markers Immunohistochemistry
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A novel method for predicting kidney stone type using ensemble learning.

Artificial intelligence in medicine Dec 11, 2017
The high morbidity rate associated with kidney stone disease, which is a silent killer, is one of the main concerns in healthcare systems all over the world. Advanced data mining techniques such as classification can help in the early prediction of t...
Humans Neural Networks, Computer Machine Learning Decision Support Techniques Child Databases, Factual Decision Support Systems, Clinical Female Adult Decision Trees Risk Factors Iran Male Predictive Value of Tests Aged Data Mining Bayes Theorem Middle Aged Aged, 80 and over Early Diagnosis Adolescent Young Adult Kidney Calculi Child, Preschool
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Development of Decision Forest Models for Prediction of Drug-Induced Liver Injury in Humans Using A Large Set of FDA-approved Drugs.

Scientific reports Dec 11, 2017
Drug-induced liver injury (DILI) presents a significant challenge to drug development and regulatory science. The FDA's Liver Toxicity Knowledge Base (LTKB) evaluated >1000 drugs for their likelihood of causing DILI in humans, of which >700 drugs wer...
United States Food and Drug Administration Toxicology Chemical and Drug Induced Liver Injury Risk Assessment United States Pharmaceutical Preparations Models, Biological Knowledge Bases Machine Learning Algorithms Decision Support Techniques Databases, Factual Humans
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Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography traces.

Computers in biology and medicine Dec 8, 2017
Human visual inspection of Cardiotocography traces is used to monitor the foetus during labour and avoid neonatal mortality and morbidity. The problem, however, is that visual interpretation of Cardiotocography traces is subject to high inter and int...
Adolescent Cardiotocography Heart Rate, Fetal Labor, Obstetric Pregnancy Humans Female Machine Learning Cesarean Section Decision Support Techniques Adult Middle Aged
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