AIMC Topic: Information Sources
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Evaluating the predictive performance of different data sources to forecast overdose deaths at the neighborhood level with machine learning in Rhode Island.
Preventive medicine
Mar 29, 2025
OBJECTIVES: To evaluate the predictive performance of different data sources to forecast fatal overdose in Rhode Island neighborhoods, with the goal of providing a template for other jurisdictions interested in predictive analytics to direct overdose...
Ontology-based integration and querying of heterogeneous rare disease data sources - POLVAS perspective.
Computers in biology and medicine
Dec 2, 2024
The integration of rare disease medical databases belonging to different countries is an important problem, as a large number of observations are required for reliable statistical inference of patient data in order to facilitate clinical research. Su...
Predicting Patient Preferences with Artificial Intelligence: The Problem of the Data Source.
The American journal of bioethics : AJOB
Jun 24, 2024
Artificial intelligence large language model ChatGPT: is it a trustworthy and reliable source of information for sarcoma patients?
Frontiers in public health
Mar 22, 2024
INTRODUCTION: Since its introduction in November 2022, the artificial intelligence large language model ChatGPT has taken the world by storm. Among other applications it can be used by patients as a source of information on diseases and their treatme...
Validity and reliability of artificial intelligence chatbots as public sources of information on endodontics.
International endodontic journal
Dec 20, 2023
AIM: This study aimed to evaluate and compare the validity and reliability of responses provided by GPT-3.5, Google Bard, and Bing to frequently asked questions (FAQs) in the field of endodontics.
Deepfakes and scientific knowledge dissemination.
Scientific reports
Aug 18, 2023
Science misinformation on topics ranging from climate change to vaccines have significant public policy repercussions. Artificial intelligence-based methods of altering videos and photos (deepfakes) lower the barriers to the mass creation and dissemi...
Non-traditional data sources in obesity research: a systematic review of their use in the study of obesogenic environments.
International journal of obesity (2005)
Jul 1, 2023
BACKGROUND: The complex nature of obesity increasingly requires a comprehensive approach that includes the role of environmental factors. For understanding contextual determinants, the resources provided by technological advances could become a key f...
Integrating Multiple Data Sources With Interactions in Multi-Omics Using Cooperative Learning.
Statistics in medicine
Jun 1, 2025
Modeling with multiomics data presents multiple challenges, such as the high dimensionality of the problem ( ), the presence of interactions between features, and the need for integration between multiple data sources. We establish an interaction mo...
Predicting postoperative chronic opioid use with fair machine learning models integrating multi-modal data sources: a demonstration of ethical machine learning in healthcare.
Journal of the American Medical Informatics Association : JAMIA
Jun 1, 2025
OBJECTIVE: Building upon our previous work on predicting chronic opioid use using electronic health records (EHR) and wearable data, this study leveraged the Health Equity Across the AI Lifecycle (HEAAL) framework to (a) fine tune the previously buil...
The Necessity of Multiple Data Sources for ECG-Based Machine Learning Models.
Studies in health technology and informatics
May 18, 2023
Even though the interest in machine learning studies is growing significantly, especially in medicine, the imbalance between study results and clinical relevance is more pronounced than ever. The reasons for this include data quality and interoperabi...
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