AIMC Topic: Humans

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Development of a cardiac-centered frailty ontology.

Journal of biomedical semantics Jan 18, 2019
BACKGROUND: A Cardiac-centered Frailty Ontology can be an important foundation for using NLP to assess patient frailty. Frailty is an important consideration when making patient treatment decisions, particularly in older adults, those with a cardiac ...
Clinical Decision-Making Frailty Natural Language Processing Cardiac Surgical Procedures Biological Ontologies Humans Electronic Health Records
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An efficient prototype method to identify and correct misspellings in clinical text.

BMC research notes Jan 18, 2019
OBJECTIVE: Misspellings in clinical free text present challenges to natural language processing. With an objective to identify misspellings and their corrections, we developed a prototype spelling analysis method that implements Word2Vec, Levenshtein...
Research Report Medical Informatics Unified Medical Language System Medical Records Systems, Computerized Language Reproducibility of Results Natural Language Processing Vocabulary, Controlled Dictionaries as Topic Pathology, Surgical Humans Algorithms
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An active learning framework for enhancing identification of non-artifactual intracranial pressure waveforms.

Physiological measurement Jan 18, 2019
OBJECTIVE: Intracranial pressure (ICP) is an important and established clinical measurement that is used in the management of severe acute brain injury. ICP waveforms are usually triphasic and are susceptible to artifact because of transient catheter...
Humans Machine Learning Female Brain Injuries Signal Processing, Computer-Assisted Male Artifacts Middle Aged False Positive Reactions Intracranial Pressure
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Machine Learning to Differentiate T2-Weighted Hyperintense Uterine Leiomyomas from Uterine Sarcomas by Utilizing Multiparametric Magnetic Resonance Quantitative Imaging Features.

Academic radiology Jan 17, 2019
RATIONALE AND OBJECTIVE: Uterine leiomyomas with high signal intensity on T2-weighted imaging (T2WI) can be difficult to distinguish from sarcomas. This study assessed the feasibility of using machine learning to differentiate uterine sarcomas from l...
Diagnosis, Differential Uterus Sarcoma Aged Humans Multiparametric Magnetic Resonance Imaging Retrospective Studies Uterine Neoplasms Machine Learning Adult Middle Aged Female Algorithms Leiomyoma Diffusion Magnetic Resonance Imaging
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Prediction of Hypoglycemia During Aerobic Exercise in Adults With Type 1 Diabetes.

Journal of diabetes science and technology Jan 17, 2019
BACKGROUND: Fear of exercise related hypoglycemia is a major reason why people with type 1 diabetes (T1D) do not exercise. There is no validated prediction algorithm that can predict hypoglycemia at the start of aerobic exercise.
Pancreas, Artificial Diabetes Mellitus, Type 1 Hypoglycemia Heart Rate Humans Machine Learning Female Exercise Adult Blood Glucose Male
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The Treadport: Natural Gait on a Treadmill.

Human factors Jan 17, 2019
OBJECTIVE: To evaluate the differences between walking on an advanced robotic locomotion interface called the Treadport and walking overground with healthy subjects.
Humans Female Young Adult Adult Robotics Biomechanical Phenomena Gait Male Gait Analysis Virtual Reality
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Development and Evaluation of a Machine Learning Model for the Early Identification of Patients at Risk for Sepsis.

Annals of emergency medicine Jan 17, 2019
STUDY OBJECTIVE: The Third International Consensus Definitions (Sepsis-3) Task Force recommended the use of the quick Sequential [Sepsis-related] Organ Failure Assessment (qSOFA) score to screen patients for sepsis outside of the ICU. However, subseq...
Sepsis Early Diagnosis Humans Lactic Acid Machine Learning Retrospective Studies Female Aged Sensitivity and Specificity Organ Dysfunction Scores Hospitals, Urban Male Middle Aged Severity of Illness Index
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Recent Developments in the Treatment of Depression.

Behavior therapy Jan 17, 2019
The cognitive and behavioral interventions can be as efficacious as antidepressant medications and more enduring, but some patients will be more likely to respond to one than the other. Recent work has focused on developing sophisticated selection al...
Humans Antidepressive Agents Stress, Psychological Machine Learning Behavior Therapy Chronic Disease Depression Psychotherapy
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Expressway crash risk prediction using back propagation neural network: A brief investigation on safety resilience.

Accident; analysis and prevention Jan 17, 2019
This study presents the work in predicting crash risk on expressways with consideration of both the impact of safety critical events and traffic conditions. The traffic resilience theory is introduced to learn safety problems from the standpoint of 1...
Humans Neural Networks, Computer Built Environment Environment Design Accidents, Traffic Safety Computer Simulation Automobile Driving Risk Assessment China
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Pedestrian's risk-based negotiation model for self-driving vehicles to get the right of way.

Accident; analysis and prevention Jan 17, 2019
Negotiations among drivers and pedestrians are common on roads, but it is still challenging for a self-driving vehicle to negotiate for its right of way with other human road users, especially pedestrians. Currently, the self-driving vehicles are pro...
Risk-Taking Pedestrians Accidents, Traffic Negotiating Humans Decision Making Artificial Intelligence Automobiles Time Factors Models, Theoretical
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