AI Medical Compendium Journal:
Studies in health technology and informatics

Showing 31 to 40 of 1224 articles

Development of a Voice-Interactive Chatbot for Personalized Health Management Using a Lifestyle Recommendation Knowledge Base.

Studies in health technology and informatics
This paper introduces a voice-interactive chatbot designed to provide personalized health recommendations through a knowledge base built on validated medical literature. By leveraging 17 key health variables, the chatbot addresses approximately 150 m...

Machine Learning-Based Hospital Readmission Prediction: A Comparative Analysis of Speciality-Specific vs. All-Specialities Models.

Studies in health technology and informatics
Hospital readmissions are a major challenge for healthcare systems, leading to increased costs and adverse patient outcomes. Predicting which patients are at risk of readmission is critical for improving care and optimizing resource allocation. This ...

A Natural and Unobtrusive Conversation Using a RASA-Driven Chatbot for Monitoring the Wellbeing of Elderlies.

Studies in health technology and informatics
This paper investigates the development and evaluation of a chatbot for administering the EQ5D questionnaire with a focus on improving user experience and ease of completion. To achieve this, the chatbot employs an open-source conversational AI envir...

Long Short-Term Memory Network for Accelerometer-Based Hypertension Classification.

Studies in health technology and informatics
This study investigates the application of a Long Short-Term Memory (LSTM) architecture for classifying hypertension using accelerometer data, specifically focusing on physical activity and sleep from the publicly available NHANES 2011-2012 dataset. ...

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 ...

Large Language Model-Assisted Systematic Review: Validation Based on Cochrane Review Data.

Studies in health technology and informatics
Large Language Models (LLMs) offer potential for automating systematic reviews, a labor-intensive process in evidence-based medicine. We evaluated GPT-4o, GPT-4o-mini, and Llama 3.1:8B on abstract screening and risk of bias assessment using 12 Cochra...

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...

Domain Shift in Part-of-Speech Tagging.

Studies in health technology and informatics
This study highlights domain shift in dataset distributions that impact machine learning performance in clinical natural language processing, analyzing linguistic differences across clinical narratives, biomedical abstracts, and news articles in Engl...

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...