AIMC Topic: Australia

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Using natural language processing and VetCompass to understand antimicrobial usage patterns in Australia.

Australian veterinary journal Jun 17, 2019
BACKGROUND: Currently there is an incomplete understanding of antimicrobial usage patterns in veterinary clinics in Australia, but such knowledge is critical for the successful implementation and monitoring of antimicrobial stewardship programs.
Humans Anti-Infective Agents Practice Patterns, Physicians' Antimicrobial Stewardship Cats Veterinarians Records Animals Australia Natural Language Processing Dogs
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Characterization of Key Aroma Compounds in a Commercial Rum and an Australian Red Wine by Means of a New Sensomics-Based Expert System (SEBES)-An Approach To Use Artificial Intelligence in Determining Food Odor Codes.

Journal of agricultural and food chemistry Mar 26, 2019
Although to date more than 10 000 volatile compounds have been characterized in foods, a literature survey has previously shown that only 226 aroma compounds, assigned as key food odorants (KFOs), have been identified to actively contribute to the ov...
Chromatography, Gas Flavoring Agents Alcoholic Beverages Olfactometry Odorants Expert Systems Volatile Organic Compounds Smell Humans Artificial Intelligence Australia Wine
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A survey on what Australians with upper limb difference want in a prosthesis: justification for using soft robotics and additive manufacturing for customized prosthetic hands.

Disability and rehabilitation. Assistive technology Mar 11, 2019
Upper limb prostheses are part of a rapidly changing market place. Despite development in device design, surveys report low levels of uptake and dissatisfaction with current prosthetic design. In this study, we present the results of a survey conduc...
Upper Extremity Patient Preference Australia Robotics Artificial Limbs Prosthesis Design Adult Male Surveys and Questionnaires Humans Female
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Artificial intelligence for sex determination of skeletal remains: Application of a deep learning artificial neural network to human skulls.

Journal of forensic and legal medicine Jan 4, 2019
A deep learning artificial neural network was adapted to the task of sex determination of skeletal remains. The neural network was trained on images of 900 skulls virtually reconstructed from hospital CT scans. When tested on previously unseen images...
Humans Neural Networks, Computer Software Tomography, X-Ray Computed Imaging, Three-Dimensional Australia Sex Determination by Skeleton Skull Forensic Anthropology Female Adult Male Deep Learning
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A rule induction framework for the determination of representative learning design in skilled performance.

Journal of sports sciences Dec 21, 2018
Representative learning design provides a framework for the extent to which practice simulates key elements of a performance setting. Improving both the measurement and analysis of representative learning design would allow for the refinement of spor...
Competitive Behavior Soccer Humans Machine Learning Algorithms Physical Conditioning, Human Task Performance and Analysis Motor Skills Australia Athletic Performance
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Machine-learning prediction of adolescent alcohol use: a cross-study, cross-cultural validation.

Addiction (Abingdon, England) Dec 21, 2018
BACKGROUND AND AIMS: The experience of alcohol use among adolescents is complex, with international differences in age of purchase and individual differences in consumption and consequences. This latter underlines the importance of prediction modelin...
Regression Analysis Cross-Cultural Comparison Underage Drinking Risk-Taking Male Adolescent Cohort Studies Child Canada Logistic Models Support Vector Machine Australia Machine Learning Algorithms Forecasting Female Humans Neural Networks, Computer
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Computer-Assisted Diagnostic Coding: Effectiveness of an NLP-based approach using SNOMED CT to ICD-10 mappings.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Computer-assisted (diagnostic) coding (CAC) aims to improve the operational productivity and accuracy of clinical coders. The level of accuracy, especially for a wide range of complex and less prevalent clinical cases, remains an open research proble...
Unified Medical Language System Clinical Coding Australia Natural Language Processing Humans Systematized Nomenclature of Medicine Electronic Health Records International Classification of Diseases Hospitals
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Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study.

PLoS medicine Nov 30, 2018
BACKGROUND: Resuscitated cardiac arrest is associated with high mortality; however, the ability to estimate risk of adverse outcomes using existing illness severity scores is limited. Using in-hospital data available within the first 24 hours of admi...
Retrospective Studies Clinical Decision-Making Female Risk Factors Aged Male Middle Aged Risk Assessment Humans Machine Learning Decision Support Techniques Databases, Factual Heart Arrest Australia Time Factors Registries Hospital Mortality New Zealand Treatment Outcome Cardiopulmonary Resuscitation Health Status
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The Cost-Effectiveness of Using PARO, a Therapeutic Robotic Seal, to Reduce Agitation and Medication Use in Dementia: Findings from a Cluster-Randomized Controlled Trial.

Journal of the American Medical Directors Association Jan 9, 2018
OBJECTIVES: To examine the within-trial costs and cost-effectiveness of using PARO, compared with a plush toy and usual care, for reducing agitation and medication use in people with dementia in long-term care.
Antipsychotic Agents Antidepressive Agents Psychomotor Agitation Play and Playthings Humans Female Australia Aged Robotics Analgesics, Opioid Aged, 80 and over Cost-Benefit Analysis Male Cholinesterase Inhibitors Dementia
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Involvement of Machine Learning for Breast Cancer Image Classification: A Survey.

Computational and mathematical methods in medicine Dec 31, 2017
Breast cancer is one of the largest causes of women's death in the world today. Advance engineering of natural image classification techniques and Artificial Intelligence methods has largely been used for the breast-image classification task. The inv...
Image Processing, Computer-Assisted Support Vector Machine Cluster Analysis Female Australia Reproducibility of Results Bayes Theorem Breast Neoplasms Humans Diagnosis, Computer-Assisted Neural Networks, Computer Machine Learning Algorithms
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