AIMC Journal:
Studies in health technology and informatics

Showing 341 to 350 of 1224 articles

Unraveling Endometrial Cancer Survival Predictors Through Advanced Machine Learning Techniques.

Studies in health technology and informatics
This study explores endometrial cancer (EC) within the broader context of oncogynecology, focusing on 3,845 EC patients at the Almazov National Research Center. The research analyzes clinical data, employing machine learning techniques like random fo...

Enhancing Thrombophilia Risk Prediction Through AI-Based Methodologies.

Studies in health technology and informatics
Thrombophilia, a predisposition to thrombosis, poses significant diagnostic challenges due to its multi-factorial nature, encompassing genetic and acquired factors. Current diagnostic paradigms, primarily relying on a combination of clinical assessme...

AI Approach for Enhanced Thalassemia Diagnosis Using Blood Smear Images.

Studies in health technology and informatics
This paper aims to propose an approach leveraging Artificial Intelligence (AI) to diagnose thalassemia through medical imaging. The idea is to employ a U-net neural network architecture for precise erythrocyte morphology detection and classification ...

Trustworthy Precision Medicine: An Interpretable Approach to Detecting Anomalous Behavior of IoT Devices.

Studies in health technology and informatics
The growing integration of Internet of Things (IoT) technology within the healthcare sector has revolutionized healthcare delivery, enabling advanced personalized care and precise treatments. However, this raises significant challenges, demanding rob...

Exploring Negated Entites for Named Entity Recognition in Italian Lung Cancer Clinical Reports.

Studies in health technology and informatics
This paper explores the potential of leveraging electronic health records (EHRs) for personalized health research through the application of artificial intelligence (AI) techniques, specifically Named Entity Recognition (NER). By extracting crucial p...

Development of a Method for Automatic Matching of Unstructured Medical Data to ICD-10 Codes.

Studies in health technology and informatics
Inconsistent disease coding standards in medicine create hurdles in data exchange and analysis. This paper proposes a machine learning system to address this challenge. The system automatically matches unstructured medical text (doctor notes, complai...

Time Series Forecasting of Cardiovascular Mortality: Machine Learning Based on State Economic and Local Medical Data.

Studies in health technology and informatics
This study focuses on the complex interplay of healthcare, economic factors, and population dynamics, addressing a research gap in regional-level models that integrate diverse features within a temporal framework. Our primary objective is to develop ...

Neural Network-Based Prediction of Perceived Sleep Quality Through Wearable Device Data.

Studies in health technology and informatics
BACKGROUND: This study focuses on the development of a neural network model to predict perceived sleep quality using data from wearable devices. We collected various physiological metrics from 18 participants over four weeks, including heart rate, ph...

Quality and Effectiveness of AI Tools for Students and Researchers for Scientific Literature Review and Analysis.

Studies in health technology and informatics
This study scrutinizes free AI tools tailored for supporting literature review and analysis in academic research, emphasizing their response to direct inquiries. Through a targeted keyword search, we cataloged relevant AI tools and evaluated their ou...

Screening Automation in Systematic Reviews: Analysis of Tools and Their Machine Learning Capabilities.

Studies in health technology and informatics
Systematic reviews provide robust evidence but require significant human labor, a challenge that can be mitigated with digital tools. This paper focuses on machine learning (ML) support for the title and abstract screening phase, the most time-intens...