AI Medical Compendium Topic:
Data Mining

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Extracting Pediatric Information from Summaries of Product Characterics with a Large Language Model and No-Code.

Studies in health technology and informatics
Accurate medication information is important for children, as dosing errors can have severe consequences compared to adults. We propose an automated method to extract pediatric information from Summaries of Product Characteristics (SPC). We used AirO...

A Knowledge Graph for the Exploration of Human RSV Infection.

Studies in health technology and informatics
Despite decades of research and disease burden, RSV remains the most common cause of acute lower respiratory tract infection (ALRTI) in infants <2 years of age. New vaccines and an improved long lasting monoclonal antibody have been approved to prote...

Automatic Annotation of Disposition Counts in News Articles.

Studies in health technology and informatics
News media aggregate and report disposition counts during crises: how many people are affected, suspected affected, have died, and have recovered or been recovered; and they tend to do so in a timely and trustworthy manner. We present and evaluate a ...

Automating Data Extraction from PDF Sleep Reports Using Data Mining Techniques.

Studies in health technology and informatics
This work introduces a web application for extracting, processing, and visualizing data from sleep studies reports. Using Optical Character Recognition (OCR) and Natural Language Processing (NLP), the pipeline extracts over 75 key data points from fo...

Building the Infrastructure for the German Medical Text Corpus Project (GeMTeX).

Studies in health technology and informatics
The German Medical Text Project (GeMTeX) is one of the largest infrastructure efforts for German-language clinical documents. To determine the different starting points of the participating institutions, we conducted a survey regarding standards, ann...

Detecting Adverse Drug Events in Clinical Notes Using Large Language Models.

Studies in health technology and informatics
Monitoring adverse drug events (ADEs) is critical for pharmacovigilance and patient safety. However, identifying ADEs remains challenging, as suspected or confirmed side effects are often documented solely in the unstructured text of electronic healt...

Delirium Identification from Nursing Reports Using Large Language Models.

Studies in health technology and informatics
This study investigates large language models for delirium detection from nursing reports, comparing keyword matching, prompting, and finetuning. Using a manually labelled dataset from the University Hospital Freiburg, Germany, we tested Llama3 and P...

Transformer-Based Multilabel NER Using Wikipedia Corpora in Multiple Languages.

Studies in health technology and informatics
The high cost of manual data labeling and privacy concerns result in a considerable dearth of medical annotations in non-English texts. Recent work by Frank and Kramer [1] introduces an unsupervised approach for constructing an ontology-annotated cor...

Efficient Semantic Similarity Computing with Optimized BERT Models.

Studies in health technology and informatics
Bridging diverse terminologies and ensuring precise information retrieval, semantic similarity in medical language is key to improve healthcare outcomes. Semantic similarity measures how closely pieces of text share the same meaning, a crucial elemen...

Fake It till You Predict It: Data Augmentation Strategies to Detect Initiation and Termination of Oncology Treatment.

Studies in health technology and informatics
At the hospital, the dispersion of information regarding anti-cancer treatment makes it difficult to extract. We proposed a solution capable of identifying dates, drugs and their temporal relationship within free-text oncology reports with very few m...