AIMC Topic: Decision Making

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Artificial Intelligence for the Determination of a Management Strategy for Diminutive Colorectal Polyps: Hype, Hope, or Help.

The American journal of gastroenterology Jan 1, 2020
Most colorectal polyps are diminutive, and malignant potential for these polyps is uncommon, especially for those in the rectosigmoid. However, many diminutive polyps are still being resected to determine whether these are adenomas or serrated/hyperp...
Artificial Intelligence Colon Colonoscopy Humans Colonic Polyps Practice Guidelines as Topic Narrow Band Imaging Decision Making Rectum Disease Management
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The influence of place and time on lexical behavior: A distributional analysis.

Behavior research methods Dec 1, 2019
We measured and documented the influence of corpus effects on lexical behavior. Specifically, we used a corpus of over 26,000 fiction books to show that computational models of language trained on samples of language (i.e., subcorpora) representative...
Recognition, Psychology Machine Learning Language Time Factors Decision Making Semantics Geography Humans
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Relevant Features in Nonalcoholic Steatohepatitis Determined Using Machine Learning for Feature Selection.

Metabolic syndrome and related disorders Nov 1, 2019
We investigated the prevalence and the most relevant features of nonalcoholic steatohepatitis (NASH), a stage of nonalcoholic fatty liver disease, (NAFLD) in which the inflammation of hepatocytes can lead to increased cardiovascular risk, liver fibr...
Liver Cirrhosis Hypertension Metabolic Syndrome Severity of Illness Index Diabetes Mellitus, Type 2 Decision Making Non-alcoholic Fatty Liver Disease Sensitivity and Specificity Cross-Sectional Studies Male Middle Aged Disease Progression Prevalence Female Aged Adult Prognosis Retrospective Studies Humans Machine Learning Algorithms
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Author response to: Comment on: Bioethical approach to robot-assisted surgery in the era of shared decision making.

The British journal of surgery Nov 1, 2019
Robotics Robotic Surgical Procedures Decision Making, Shared Decision Making
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Comment on: Bioethical approach to robot-assisted surgery in the era of shared decision making.

The British journal of surgery Nov 1, 2019
Robotic Surgical Procedures Decision Making Decision Making, Shared Robotics
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Rise of medical AI poses new legal risks for doctors.

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne Oct 21, 2019
Physicians Decision Making Humans Artificial Intelligence
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"A patient like me" - An algorithm-based program to inform patients on the likely conditions people with symptoms like theirs have.

Medicine Oct 1, 2019
To date, consumer health tools available over the web suffer from serious limitations that lead to low quality health- related information. While health data in our world are abundant, access to it is limited because of liability and privacy constrai...
Humans Machine Learning Appendicitis Algorithms Pregnancy Complications Diagnosis, Computer-Assisted Pregnancy Appendectomy Smartphone Female Decision Making Adult
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Context matters: using reinforcement learning to develop human-readable, state-dependent outbreak response policies.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Jul 8, 2019
The number of all possible epidemics of a given infectious disease that could occur on a given landscape is large for systems of real-world complexity. Furthermore, there is no guarantee that the control actions that are optimal, on average, over all...
Communicable Disease Control Decision Making Models, Biological Communicable Diseases Animals Humans Disease Outbreaks Machine Learning Forecasting
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Extremely Reduced Data Sets Indicate Optimal Stimulation Parameters for Classification in Brain-Computer Interfaces.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The time between the onset of subsequent auditory or visual stimuli - also known as stimulus onset asynchrony (SOA) - determines many of the event-related potential characteristics of the resulting evoked brain signals. Specifically, the SOA value in...
Electroencephalography Brain Brain-Computer Interfaces Decision Making Photic Stimulation Humans Data Interpretation, Statistical Evoked Potentials Machine Learning
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Deep Q-learning for Predicting Asthma Attack with Considering Personalized Environmental Triggers' Risk Scores.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The purpose of our present study was to develop a forecasting method that would help asthmatic individuals to take evasive action when the probability of an attack was at THEIR PERSONAL THRESHOLD levels. The results are encouraging. Risk factor analy...
Decision Making Probability Risk Asthma Deep Learning Humans
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