AIMC Topic: Machine Learning

Clear Filters Showing 34081 to 34090 of 34417 articles

A Case Study on Sepsis Using PubMed and Deep Learning for Ontology Learning.

Studies in health technology and informatics
We investigate the application of distributional semantics models for facilitating unsupervised extraction of biomedical terms from unannotated corpora. Term extraction is used as the first step of an ontology learning process that aims to (semi-)aut...

Acronym Disambiguation in Spanish Electronic Health Narratives Using Machine Learning Techniques.

Studies in health technology and informatics
Electronic Health Records (EHRs) are now being massively used in hospitals what has motivated current developments of new methods to process clinical narratives (unstructured data) making it possible to perform context-based searches. Current approac...

Medical Text Classification Using Convolutional Neural Networks.

Studies in health technology and informatics
We present an approach to automatically classify clinical text at a sentence level. We are using deep convolutional neural networks to represent complex features. We train the network on a dataset providing a broad categorization of health informatio...

Prevalence Estimation of Protected Health Information in Swedish Clinical Text.

Studies in health technology and informatics
Obscuring protected health information (PHI) in the clinical text of health records facilitates the secondary use of healthcare data in a privacy-preserving manner. Although automatic de-identification of clinical text using machine learning holds mu...

Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data.

Studies in health technology and informatics
Metabolomic data can potentially enable accurate, non-invasive and low-cost prediction of coronary artery disease. Regression-based analytical approaches however might fail to fully account for interactions between metabolites, rely on a priori selec...

A Decision Support System for Cardiac Disease Diagnosis Based on Machine Learning Methods.

Studies in health technology and informatics
This paper proposes a decision support system for screening pediatric cardiac disease in primary healthcare centres relying on the heart sound time series analysis. The proposed system employs our processing method which is based on the hidden Markov...

Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic Programming.

IEEE/ACM transactions on computational biology and bioinformatics
Growing bacterial resistance to antibiotics is spurring research on utilizing naturally-occurring antimicrobial peptides (AMPs) as templates for novel drug design. While experimentalists mainly focus on systematic point mutations to measure the effec...

Recognizing and Predicting Thioether Bridges Formed by Lanthionine and β-Methyllanthionine in Lantibiotics Using a Random Forest Approach with Feature Selection.

Combinatorial chemistry & high throughput screening
BACKGROUND: Lantibiotics, which are usually produced from Gram-positive bacteria, are regarded as one type of special bacteriocins. Lantibiotics have unsaturated amino acid residues formed by lanthionine (Lan) and β-methyllanthionine (MeLan) residues...

Prediction and Identification of Krüppel-Like Transcription Factors by Machine Learning Method.

Combinatorial chemistry & high throughput screening
AIM AND OBJECTIVE: The Krüppel-like factors (KLFs) are a family of containing Zn finger(ZF) motif transcription factors with 18 members in human genome, among them, KLF18 is predicted by bioinformatics. KLFs possess various physiological function inv...

Machine Vision-Based Measurement Systems for Fruit and Vegetable Quality Control in Postharvest.

Advances in biochemical engineering/biotechnology
Individual items of any agricultural commodity are different from each other in terms of colour, shape or size. Furthermore, as they are living thing, they change their quality attributes over time, thereby making the development of accurate automati...