AIMC Topic: Machine Learning

Clear Filters Showing 30841 to 30850 of 34417 articles

Machine Learning and the Digital Measurement of Psychological Health.

Annual review of clinical psychology
Since its inception, the discipline of psychology has utilized empirical epistemology and mathematical methodologies to infer psychological functioning from direct observation. As new challenges and technological opportunities emerge, scientists are ...

MantaID: a machine learning-based tool to automate the identification of biological database IDs.

Database : the journal of biological databases and curation
The number of biological databases is growing rapidly, but different databases use different identifiers (IDs) to refer to the same biological entity. The inconsistency in IDs impedes the integration of various types of biological data. To resolve th...

Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics1.

Studies in health technology and informatics
BACKGROUND: Artificial Intelligence (AI) has had an important impact on many industries as well as the field of medical diagnostics. In healthcare, AI techniques such as case-based reasoning and data driven machine learning (ML) algorithms have been ...

Predicting chaotic dynamics from incomplete input via reservoir computing with (D+1)-dimension input and output.

Physical review. E
Predicting future evolution based on incomplete information of the past is still a challenge even though data-driven machine learning approaches have been successfully applied to forecast complex nonlinear dynamics. The widely adopted reservoir compu...

An interpretable machine learning model for real-time sepsis prediction based on basic physiological indicators.

European review for medical and pharmacological sciences
OBJECTIVE: In view of the important role of risk prediction models in the clinical diagnosis and treatment of sepsis, and the limitations of existing models in terms of timeliness and interpretability, we intend to develop a real-time prediction mode...

A natural language processing approach to categorise contributing factors from patient safety event reports.

BMJ health & care informatics
OBJECTIVES: The objective of this study was to explore the use of natural language processing (NLP) algorithm to categorise contributing factors from patient safety event (PSE). Contributing factors are elements in the healthcare process (eg, communi...

Applications of machine learning in animal and veterinary public health surveillance.

Revue scientifique et technique (International Office of Epizootics)
Machine learning (ML) is an approach to artificial intelligence characterised by the use of algorithms that improve their own performance at a given task (e.g. classification or prediction) based on data and without being explicitly and fully instruc...