AIMC Topic: Switzerland
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Accelerating Clinical Text Annotation in Underrepresented Languages: A Case Study on Text De-Identification.
Studies in health technology and informatics
Aug 22, 2024
Clinical notes contain valuable information for research and monitoring quality of care. Named Entity Recognition (NER) is the process for identifying relevant pieces of information such as diagnoses, treatments, side effects, etc., and bring them to...
Fracture risk prediction in postmenopausal women with traditional and machine learning models in a nationwide, prospective cohort study in Switzerland with validation in the UK Biobank.
Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
Aug 21, 2024
Fracture prediction is essential in managing patients with osteoporosis and is an integral component of many fracture prevention guidelines. We aimed to identify the most relevant clinical fracture risk factors in contemporary populations by training...
Analysis of Critical Incident Reports Using Natural Language Processing.
Studies in health technology and informatics
Apr 26, 2024
UNLABELLED: A Critical Incident Reporting System (CIRS) collects anecdotal reports from employees, which serve as a vital source of information about incidents that could potentially harm patients.
[Colorectal cancer: technological revolution].
Revue medicale suisse
May 17, 2023
Colorectal cancer represents 4500 incidental cases in Switzerland per year, with an incidence increasing among the youngest patients. Technological innovation guides the management of colorectal cancer. Artificial intelligence in endoscopy optimizes ...
Cohort-Derived Machine Learning Models for Individual Prediction of Chronic Kidney Disease in People Living With Human Immunodeficiency Virus: A Prospective Multicenter Cohort Study.
The Journal of infectious diseases
Oct 13, 2021
BACKGROUND: It is unclear whether data-driven machine learning models, which are trained on large epidemiological cohorts, may improve prediction of comorbidities in people living with human immunodeficiency virus (HIV).
Development of a Complication- and Treatment-Aware Prediction Model for Favorable Functional Outcome in Aneurysmal Subarachnoid Hemorrhage Based on Machine Learning.
Neurosurgery
Jan 13, 2021
BACKGROUND: Current prognostic tools in aneurysmal subarachnoid hemorrhage (aSAH) are constrained by being primarily based on patient and disease characteristics on admission.
[Not Available].
Praxis
Jan 1, 2018
Welcome to the Cyborg Olympics.
Nature
Aug 4, 2016
Step aside, Olympics: here's the Cybathlon.
Nature
Aug 4, 2016
Identifying Outliers in Data from Patient Record.
Studies in health technology and informatics
Jan 1, 2016
It is important for health services to be able to identify potential outliers with minimal effort as part of their daily evaluation of care data from patient record. This study evaluates the suitability of three statistical methods for identifying nu...
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