AIMC Topic: Pattern Recognition, Automated

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A Frequency-based Strategy of Obtaining Sentences from Clinical Data Repository for Crowdsourcing.

Studies in health technology and informatics
In clinical NLP, one major barrier to adopting crowdsourcing for NLP annotation is the issue of confidentiality for protected health information (PHI) in clinical narratives. In this paper, we investigated the use of a frequency-based approach to ext...

Proposal of Local Automatic Weighing Attribute in CBIR.

Studies in health technology and informatics
Lung cancer is the most common malignant lesion and the principal cause of cancer-related death worldwide. This problem encourages researchers to build computer-aided solutions to help diagnose lung cancer. Content-based image retrieval (CBIR) system...

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...

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...

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...

Using EHRs and Machine Learning for Heart Failure Survival Analysis.

Studies in health technology and informatics
"Heart failure (HF) is a frequent health problem with high morbidity and mortality, increasing prevalence and escalating healthcare costs" [1]. By calculating a HF survival risk score based on patient-specific characteristics from Electronic Health R...

Fast Model Adaptation for Automated Section Classification in Electronic Medical Records.

Studies in health technology and informatics
Medical information extraction is the automatic extraction of structured information from electronic medical records, where such information can be used for improving healthcare processes and medical decision making. In this paper, we study one impor...

Meta-learning framework applied in bioinformatics inference system design.

International journal of data mining and bioinformatics
This paper describes a meta-learner inference system development framework which is applied and tested in the implementation of bioinformatic inference systems. These inference systems are used for the systematic classification of the best candidates...