AIMC Journal:
International journal of medical informatics
Showing 271 to 280 of 372 articles
Towards data-driven medical imaging using natural language processing in patients with suspected urolithiasis.
International journal of medical informatics
Feb 29, 2020
OBJECTIVE: The majority of radiological reports are still written as free text and lack structure. Further evaluation of free-text reports is difficult to achieve without a great deal of manual effort, and is not possible in everyday clinical practic...
Healthcare pathway discovery and probabilistic machine learning.
International journal of medical informatics
Feb 24, 2020
BACKGROUND AND PURPOSE: Healthcare pathways define the execution sequence of clinical activities as patients move through a treatment process, and they are critical for maintaining quality of care. The aim of this study is to combine healthcare pathw...
The CLASSE GATOR (CLinical Acronym SenSE disambiGuATOR): A Method for predicting acronym sense from neonatal clinical notes.
International journal of medical informatics
Feb 14, 2020
OBJECTIVE: To develop an algorithm for identifying acronym 'sense' from clinical notes without requiring a clinically annotated training set.
The application of artificial intelligence (AI) techniques to identify frailty within a residential aged care administrative data set.
International journal of medical informatics
Feb 4, 2020
INTRODUCTION: Research has shown that frailty, a geriatric syndrome associated with an increased risk of negative outcomes for older people, is highly prevalent among residents of residential aged care facilities (also called long term care facilitie...
Prediction of blood pressure variability using deep neural networks.
International journal of medical informatics
Jan 8, 2020
PURPOSE: The purpose of our study was to predict blood pressure variability from time-series data of blood pressure measured at home and data obtained through medical examination at a hospital. Previous studies have reported the blood pressure variab...
A lesson in implementation: A pre-post study of providers' experience with artificial intelligence-based clinical decision support.
International journal of medical informatics
Dec 30, 2019
BACKGROUND: To explore attitudes about artificial intelligence (AI) among staff who utilized AI-based clinical decision support (CDS).
Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.
International journal of medical informatics
Dec 28, 2019
BACKGROUND: The proper estimate of the risk of recurrences in early-stage oral tongue squamous cell carcinoma (OTSCC) is mandatory for individual treatment-decision making. However, this remains a challenge even for experienced multidisciplinary cent...
Young Adult
Adult
Male
Middle Aged
Brazil
Adolescent
Incidence
Prognosis
Combined Modality Therapy
Female
Humans
Aged
Supervised Machine Learning
Algorithms
Aged, 80 and over
Decision Trees
Tongue Neoplasms
Finland
Cohort Studies
Chemoradiotherapy
Bayes Theorem
Child
Mouth Neoplasms
Support Vector Machine
Neoplasm Recurrence, Local
Impacts of robot implementation on care personnel and clients in elderly-care institutions.
International journal of medical informatics
Dec 4, 2019
BACKGROUND: Digital technologies, including robots, are being increasingly used in elderly care. Their impact on users carries implications for successfully integrating technological innovations into care. This study aims to identify the impacts of c...
A systematic review of natural language processing for classification tasks in the field of incident reporting and adverse event analysis.
International journal of medical informatics
Oct 5, 2019
CONTEXT: Adverse events in healthcare are often collated in incident reports which contain unstructured free text. Learning from these events may improve patient safety. Natural language processing (NLP) uses computational techniques to interrogate f...
Aggregating the syntactic and semantic similarity of healthcare data towards their transformation to HL7 FHIR through ontology matching.
International journal of medical informatics
Oct 5, 2019
BACKGROUND AND OBJECTIVE: Healthcare systems deal with multiple challenges in releasing information from data silos, finding it almost impossible to be implemented, maintained and upgraded, with difficulties ranging in the technical, security and hum...
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