AIMC Journal:
Studies in health technology and informatics
Showing 471 to 480 of 1224 articles
Can Synthetic Images Improve CNN Performance in Wound Image Classification?
Studies in health technology and informatics
May 18, 2023
For artificial intelligence (AI) based systems to become clinically relevant, they must perform well. Machine Learning (ML) based AI systems require a large amount of labelled training data to achieve this level. In cases of a shortage of such large ...
Prediction of Mental Health Support of Employee Perceiving by Using Machine Learning Methods.
Studies in health technology and informatics
May 18, 2023
Employees' mental health addresses concerns in the technology industry phenomenon. Machine Learning (ML) approaches show promise in predicting mental health problems and identifying related factors. This study used three machine learning models on OS...
Identification of Subphenotypes of Opioid Use Disorder Using Unsupervised Machine Learning.
Studies in health technology and informatics
May 18, 2023
This paper aimed to detect the latent clusters of patients with opioid use disorder and to identify the risk factors affecting drug misuse using unsupervised machine learning. The cluster with the highest proportion of successful treatment outcomes w...
Clustering Similar Diagnosis Terms.
Studies in health technology and informatics
May 18, 2023
A large clinical diagnosis list is explored with the goal to cluster syntactic variants. A string similarity heuristic is compared with a deep learning-based approach. Levenshtein distance (LD) applied to common words only (not tolerating deviations ...
Announcement of the German Medical Text Corpus Project (GeMTeX).
Studies in health technology and informatics
May 18, 2023
The largest publicly funded project to generate a German-language medical text corpus will start in mid-2023. GeMTeX comprises clinical texts from information systems of six university hospitals, which will be made accessible for NLP by annotation of...
Information Extraction from Medical Texts with BERT Using Human-in-the-Loop Labeling.
Studies in health technology and informatics
May 18, 2023
Neural network language models, such as BERT, can be used for information extraction from medical texts with unstructured free text. These models can be pre-trained on a large corpus to learn the language and characteristics of the relevant domain an...
Digital Health Data Capture with a Controlled Natural Language.
Studies in health technology and informatics
May 18, 2023
Written text has been the preferred medium for storing health data ever since Hippocrates, and the medical narrative is what enables a humanized clinical relationship. Can't we admit natural language as a user-accepted technology that has stood again...
Data-Driven Identification of Clinical Real-World Expressions Linked to ICD.
Studies in health technology and informatics
May 18, 2023
A semi-structured clinical problem list containing ∼1.9 million de-identified entries linked to ICD-10 codes was used to identify closely related real-world expressions. A log-likelihood based co-occurrence analysis generated seed-terms, which were i...
SapBERT-Based Medical Concept Normalization Using SNOMED CT.
Studies in health technology and informatics
May 18, 2023
Word vector representations, known as embeddings, are commonly used for natural language processing. Particularly, contextualized representations have been very successful recently. In this work, we analyze the impact of contextualized and non-contex...
In-Hospital Cancer Mortality Prediction by Multimodal Learning of Non-English Clinical Texts.
Studies in health technology and informatics
May 18, 2023
Predicting important outcomes in patients with complex medical conditions using multimodal electronic medical records remains challenge. We trained a machine learning model to predict the inpatient prognosis of cancer patients using EMR data with Jap...
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