AIMC Topic: Health Resources
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A deep learning model for pediatric patient risk stratification.
The American journal of managed care
Oct 1, 2019
OBJECTIVES: Current models for patient risk prediction rely on practitioner expertise and domain knowledge. This study presents a deep learning model-a type of machine learning that does not require human inputs-to analyze complex clinical and financ...
Natural Language Processing of Radiology Reports in Patients With Hepatocellular Carcinoma to Predict Radiology Resource Utilization.
Journal of the American College of Radiology : JACR
Mar 2, 2019
OBJECTIVE: Radiology is a finite health care resource in high demand at most health centers. However, anticipating fluctuations in demand is a challenge because of the inherent uncertainty in disease prognosis. The aim of this study was to explore th...
Humans
Machine Learning
Research Report
Databases, Factual
Radiology Information Systems
Radiology Department, Hospital
Retrospective Studies
Tomography, X-Ray Computed
ROC Curve
Liver Neoplasms
Carcinoma, Hepatocellular
Ontario
Female
Natural Language Processing
Predictive Value of Tests
Area Under Curve
Aged
Male
Sensitivity and Specificity
Middle Aged
Health Resources
Dangers of Machine Translation: The Need for Professionally Translated Anticipatory Guidance Resources for Limited English Proficiency Caregivers.
Clinical pediatrics
Nov 5, 2018
Automated Classification of Consumer Health Information Needs in Patient Portal Messages.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
Patients have diverse health information needs, and secure messaging through patient portals is an emerging means by which such needs are expressed and met. As patient portal adoption increases, growing volumes of secure messages may burden healthcar...
Healthcare resource utilization for the management of neonatal head shape deformities: a propensity-matched analysis of AI-assisted and conventional approaches.
Journal of neurosurgery. Pediatrics
Jun 1, 2025
OBJECTIVE: Overuse of radiography studies and underuse of conservative therapies for cranial deformities in neonates is a known inefficiency in pediatric craniofacial healthcare. This study sought to establish whether the introduction of artificial i...
Clinician-driven artificial intelligence in ophthalmology: resources enabling democratization.
Current opinion in ophthalmology
Sep 1, 2021
PURPOSE OF REVIEW: This article aims to discuss the current state of resources enabling the democratization of artificial intelligence (AI) in ophthalmology.
A Semantic Similarity Evaluation for Healthcare Ontologies Matching to HL7 FHIR Resources.
Studies in health technology and informatics
Jun 16, 2020
Healthcare 4.0 demands healthcare data to be shaped into a common standardized and interoperable format for achieving more efficient data exchange. Most of the techniques addressing this domain are dealing only with specific cases of data transformat...
A New Approach to Compare the Performance of Two Classification Methods of Causes of Death for Timely Surveillance in France.
Studies in health technology and informatics
Aug 21, 2019
Timely mortality surveillance in France is based on the monitoring of electronic death certificates to provide information to health authorities. This study aims to analyze the performance of a rule-based and a supervised machine learning method to c...
Psychophysiological resources and reserves for increasing flight safety.
Voenno-meditsinskii zhurnal
Mar 1, 2017
The diirectins and ways of ostcgiogtsuikigucak health resources of pilot in order to ensure his professional safety are discussed. The author analyz the approaches to improve the health of the pilot based on foreign studies. The authors evaluate the ...
Predicting Length of Stay for Obstetric Patients via Electronic Medical Records.
Studies in health technology and informatics
Jan 1, 2017
Obstetric care refers to the care provided to patients during ante-, intra-, and postpartum periods. Predicting length of stay (LOS) for these patients during their hospitalizations can assist healthcare organizations in allocating hospital resources...
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