AIMC Topic: Data Collection

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Real-time Epidemic Forecasting: Challenges and Opportunities.

Health security Jan 1, 2019
Infectious disease outbreaks play an important role in global morbidity and mortality. Real-time epidemic forecasting provides an opportunity to predict geographic disease spread as well as case counts to better inform public health interventions whe...
Epidemics Models, Statistical Population Surveillance Data Collection Humans Machine Learning Forecasting Public Health Disease Outbreaks
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Ripe for Disruption? Adopting Nurse-Led Data Science and Artificial Intelligence to Predict and Reduce Hospital-Acquired Outcomes in the Learning Health System.

Nursing administration quarterly Jan 1, 2019
Nurse leaders are dually responsible for resource stewardship and the delivery of high-quality care. However, methods to identify patient risk for hospital-acquired conditions are often outdated and crude. Although hospitals and health systems have b...
Humans Artificial Intelligence Quality Assurance, Health Care Iatrogenic Disease Nurse's Role Delivery of Health Care Data Science Data Collection
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Data for Adherence Decision Support.

Studies in health technology and informatics Jan 1, 2019
Technological interventions aimed at addressing medication non-adherence have shown some promise but do not deliver the full potential of an Internet of Things based Adherence Decision Support (ADS) system due, in part, to a lack high-resolution defi...
Data Collection Decision Support Techniques Pilot Projects Artificial Intelligence Medication Adherence
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[Neurological contact.].

Recenti progressi in medicina Oct 1, 2018
To what extent is current clinical practice capable of gathering relevant patient data, observing them and giving them adequate information back? To what extent does the clinical pathway play a role of real care and not simply technology delivery? Th...
Humans Artificial Intelligence Physician-Patient Relations Data Collection Ambulatory Care Neurology
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Chaos versus noise as drivers of multistability in neural networks.

Chaos (Woodbury, N.Y.) Oct 1, 2018
The multistable behavior of neural networks is actively being studied as a landmark of ongoing cerebral activity, reported in both functional Magnetic Resonance Imaging (fMRI) and electro- or magnetoencephalography recordings. This consists of a cont...
Neural Conduction Oscillometry Ion Channels Magnetoencephalography Synapses Stochastic Processes Temperature Magnetic Resonance Imaging Cluster Analysis Models, Neurological Humans Data Collection Neural Networks, Computer Nonlinear Dynamics Algorithms
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Retool AI to forecast and limit wars.

Nature Oct 1, 2018
Iraq Data Collection Violence Computer Simulation Child Afghan Campaign 2001- Armed Conflicts Relief Work Sociological Factors Syria Gross Domestic Product Humans Artificial Intelligence Machine Learning Forecasting Databases, Factual United Nations
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Learning Healthcare Systems in Pediatrics: Cross-Institutional and Data-Driven Decision-Support for Intensive Care Environments (CADDIE).

Studies in health technology and informatics Jan 1, 2018
BACKGROUND: The vast amount of data generated in healthcare can be reused to support decision-making by developing clinical decision-support systems. Since evidence is lacking in Pediatrics, it seems to be beneficial to design future systems towards ...
Data Collection Humans Critical Care Child Pediatrics Intensive Care Units, Pediatric Machine Learning Decision Support Systems, Clinical Algorithms
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Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2017
OBJECTIVE: Widespread application of clinical natural language processing (NLP) systems requires taking existing NLP systems and adapting them to diverse and heterogeneous settings. We describe the challenges faced and lessons learned in adapting an ...
Electronic Health Records Colonoscopy Early Detection of Cancer Medical Records Systems, Computerized Humans Natural Language Processing Pathology, Clinical Data Collection Information Dissemination
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Medical Image Data and Datasets in the Era of Machine Learning-Whitepaper from the 2016 C-MIMI Meeting Dataset Session.

Journal of digital imaging Aug 1, 2017
At the first annual Conference on Machine Intelligence in Medical Imaging (C-MIMI), held in September 2016, a conference session on medical image data and datasets for machine learning identified multiple issues. The common theme from attendees was t...
Congresses as Topic Artificial Intelligence Humans Data Collection Machine Learning Datasets as Topic Diagnostic Imaging Medical Informatics
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Information System of Personalized Patient's Adherence Level Determination.

Studies in health technology and informatics Jan 1, 2017
The present paper deals with intellectual system for determination and evaluation of personalized patient's level of adherence. The most popular nowadays techniques for adherence evaluation are interview and questionnaires. We propose a new automated...
Patient Compliance Humans Data Collection Fuzzy Logic
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