AIMC Journal:
Studies in health technology and informatics

Showing 301 to 310 of 1224 articles

Applying Machine Learning for Prescriptive Support: A Use Case with Unfractionated Heparin in Intensive Care Units.

Studies in health technology and informatics Aug 22, 2024
Continuous unfractionated heparin is widely used in intensive care, yet its complex pharmacokinetic properties complicate the determination of appropriate doses. To address this challenge, we developed machine learning models to predict over- and und...
Decision Support Systems, Clinical Retrospective Studies Humans Intensive Care Units Heparin Anticoagulants Machine Learning Medical Order Entry Systems
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Enhancing Periodontal Treatment Through the Integration of Deep Learning-Based Detection with Bayesian Network Models.

Studies in health technology and informatics Aug 22, 2024
This study incorporated deep learning for periodontal disease detection into a Bayesian network (BN) clinical decision support model for comprehensive periodontal care. BN structure and probabilities were based on clinical data and Faster R-CNN-detec...
Decision Support Systems, Clinical Bayes Theorem Humans Deep Learning Periodontal Diseases
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Automatic Extraction of Medication Data from Semi-Structured Prescriptions.

Studies in health technology and informatics Aug 22, 2024
In many healthcare facilities, the prescription of drugs is done only in a semi-structured manner, using free-text fields where various information is often mixed. Therefore, automatic processing, especially for secondary use such as research purpose...
Drug Prescriptions Electronic Prescribing Data Mining Electronic Health Records Germany Natural Language Processing Humans
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Development of a CNN for Adult Brain Tumour Characterisation: Implications and Future Directions for Transfer Learning.

Studies in health technology and informatics Aug 22, 2024
Brain tumours are the most commonly occurring solid tumours in children, albeit with lower incidence rates compared to adults. However, their inherent heterogeneity, ethical considerations regarding paediatric patients, and difficulty in long-term fo...
Humans Neural Networks, Computer Machine Learning Adult Brain Neoplasms
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Towards a Reporting Guideline for Studies on Information Extraction from Clinical Texts.

Studies in health technology and informatics Aug 22, 2024
BACKGROUND: The rapid technical progress in the domain of clinical Natural Language Processing and information extraction (IE) has resulted in challenges concerning the comparability and replicability of studies.
Information Storage and Retrieval Natural Language Processing Guidelines as Topic Humans
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Harnessing the Power of Machine Learning and Electronic Health Records to Support Child Abuse and Neglect Identification in Emergency Department Settings.

Studies in health technology and informatics Aug 22, 2024
Emergency departments (EDs) are pivotal in detecting child abuse and neglect, but this task is often complex. Our study developed a machine learning model using structured and unstructured electronic health record (EHR) data to predict when children ...
Child Abuse Child, Preschool Child Natural Language Processing Emergency Service, Hospital Humans Infant Case-Control Studies Algorithms Female Electronic Health Records Male Machine Learning
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Temporal Characterization and Visualization of Revolving Therapy-Events in Lung Cancer Patients.

Studies in health technology and informatics Aug 22, 2024
This paper presents a comprehensive workflow for integrating revolving events into the transitive sequential pattern mining (tSPM+) algorithm and Machine Learning for Health Outcomes (MLHO) framework, emphasizing best practices and pitfalls in its ap...
Machine Learning Algorithms Humans Data Mining Lung Neoplasms Workflow
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From Data Mining of Public Sources to Clinical Decision Support in Personalized Medicine.

Studies in health technology and informatics Aug 22, 2024
Personalized medicine enables precise tumor treatment for a patient's molecular genetic profile. To devise optimal targeted treatment plans for patients in a molecular tumor board, physicians must consider alterations on gene- and proteins levels but...
Humans Machine Learning Decision Support Systems, Clinical Data Mining Female Algorithms Breast Neoplasms Precision Medicine
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Predicting Patient No-Shows: Situated Machine Learning with Imperfect Data.

Studies in health technology and informatics Aug 22, 2024
Patients who do not show up for scheduled appointments are a considerable cost and concern in healthcare. In this study, we predict patient no-shows for outpatient surgery at the endoscopy ward of a hospital in Denmark. The predictions are made by tr...
No-Show Patients Denmark Appointments and Schedules Humans Machine Learning
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Feasibility and Educational Value of Clinical Cases Generated Using Large Language Models.

Studies in health technology and informatics Aug 22, 2024
In medical education, case-based learning (CBL) is a fundamental method for training healthcare professionals across different levels of expertise. This approach hinges on using authentic or fabricated clinical cases to bridge the gap between theoret...
Humans SARS-CoV-2 Artificial Intelligence Education, Medical, Continuing COVID-19 Feasibility Studies
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