AIMC Topic: Machine Learning

Clear Filters Showing 31231 to 31240 of 34417 articles

CDS-Compare: A Web Application for Machine Learning Assisted Curation of Clinical Order Sets.

Studies in health technology and informatics
Order sets that adhere to disease-specific guidelines have been shown to increase clinician efficiency and patient safety but curating these order sets, particularly for consistency across multiple sites, is difficult and time consuming. We created s...

Data Element Mapping in the Data Privacy Era.

Studies in health technology and informatics
Secondary use of health data is made difficult in part because of large semantic heterogeneity. Many efforts are being made to align local terminologies with international standards. With increasing concerns about data privacy, we focused here on the...

Multi-Dimensional Laboratory Test Score as a Proxy for Health.

Studies in health technology and informatics
The standard of care for a physician to review laboratory tests results is to weigh each individual laboratory test result and compare it to against a standard reference range. Such a method of scanning can lead to missing high-level information. Dif...

Robust Random Forest-Based All-Relevant Feature Ranks for Trustworthy AI.

Studies in health technology and informatics
Feature selection is a fundamental challenge in machine learning. For instance in bioinformatics, it is essential when one wishes to detect biomarkers. Tree-based methods are predominantly used for this purpose. In this paper, we study the stability ...

Explainable Artificial Intelligence in Ambulatory Digital Dementia Screenings.

Studies in health technology and informatics
Recently, digital apps have entered the market to enable the early diagnosis of dementia by offering digital dementia screenings. Some of these apps use Machine Learning (ML) to predict cognitive impairment. The aim of this work is to find explanatio...

Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning Model.

Studies in health technology and informatics
Machine learning algorithms become increasingly prevalent in the field of medicine, as they offer the ability to recognize patterns in complex medical data. Especially in this sensitive area, the active usage of a mostly black box is a controversial ...

Using Machine Learning and Deep Learning Methods to Predict the Complexity of Breast Cancer Cases.

Studies in health technology and informatics
In many countries, the management of cancer patients must be discussed in multidisciplinary tumor boards (MTBs). These meetings have been introduced to provide a collaborative and multidisciplinary approach to cancer care. However, the benefits of MT...

DNA-binding protein prediction based on deep transfer learning.

Mathematical biosciences and engineering : MBE
The study of DNA binding proteins (DBPs) is of great importance in the biomedical field and plays a key role in this field. At present, many researchers are working on the prediction and detection of DBPs. Traditional DBP prediction mainly uses machi...

Genetic optimization of mid-infrared filters for a machine learning chemical classifier.

Optics express
Miniaturized mid-infrared spectrometers present opportunities for applications that range from health monitoring to agriculture. One approach combines arrays of spectral filters with infrared photodetectors, called filter-array detector-array (FADA) ...

Towards the Application of Machine Learning in Emergency Informatics.

Studies in health technology and informatics
Emergency care is one of the cornerstone parts of the world health organization's action plan. Rapid response and immediate care are considered in agile emergency care. Artificial intelligence (AI) and informatics have been applied to fulfill these r...