AIMC Topic: Machine Learning

Clear Filters Showing 34361 to 34370 of 34417 articles

Thermal Signal Analysis for Breast Cancer Risk Verification.

Studies in health technology and informatics
Breast cancer is the second most common cancer in the world. Currently, there are no effective methods to prevent this disease. However, early diagnosis increases chances of remission. Breast thermography is an option to be considered in screening st...

A Multi-Relational Model for Depression Relapse in Patients with Bipolar Disorder.

Studies in health technology and informatics
Bipolar Disorder (BD) is a chronic and disabling disease that usually appears around 20 to 30 years old. Patients who suffer with BD may struggle for years to achieve a correct diagnosis, and only 50% of them generally receive adequate treatment. In ...

On the Automated Segmentation of Epicardial and Mediastinal Cardiac Adipose Tissues Using Classification Algorithms.

Studies in health technology and informatics
The quantification of fat depots on the surroundings of the heart is an accurate procedure for evaluating health risk factors correlated with several diseases. However, this type of evaluation is not widely employed in clinical practice due to the re...

Effects of Plasma Transfusion on Perioperative Bleeding Complications: A Machine Learning Approach.

Studies in health technology and informatics
Perioperative bleeding (PB) is associated with increased patient morbidity and mortality, and results in substantial health care resource utilization. To assess bleeding risk, a routine practice in most centers is to use indicators such as elevated v...

Acquiring Plausible Predications from MEDLINE by Clustering MeSH Annotations.

Studies in health technology and informatics
The massive accumulation of biomedical knowledge is reflected by the growth of the literature database MEDLINE with over 23 million bibliographic records. All records are manually indexed by MeSH descriptors, many of them refined by MeSH subheadings....

A Cloud-Based Infrastructure for Feedback-Driven Training and Image Recognition.

Studies in health technology and informatics
Advanced techniques in machine learning combined with scalable "cloud" computing infrastructure are driving the creation of new and innovative health diagnostic applications. We describe a service and application for performing image training and rec...

Conceptual Knowledge Discovery in Databases for Drug Combinations Predictions in Malignant Melanoma.

Studies in health technology and informatics
The worldwide incidence of melanoma is rising faster than any other cancer, and prognosis for patients with metastatic disease is poor. Current targeted therapies are limited in their durability and/or effect size in certain patient populations due t...

Automated Learning of Temporal Expressions.

Studies in health technology and informatics
Clinical notes contain important temporal information that are critical for making clinical diagnosis and treatment as well as for retrospective analyses. Manually created regular expressions are commonly used for the extraction of temporal informati...

An Approach for Automatic Classification of Radiology Reports in Spanish.

Studies in health technology and informatics
Automatic detection of relevant terms in medical reports is useful for educational purposes and for clinical research. Natural language processing (NLP) techniques can be applied in order to identify them. In this work we present an approach to class...

Identifying Patients with Depression Using Free-text Clinical Documents.

Studies in health technology and informatics
About 1 in 10 adults are reported to exhibit clinical depression and the associated personal, societal, and economic costs are significant. In this study, we applied the MTERMS NLP system and machine learning classification algorithms to identify pat...