AIMC Topic: Algorithms

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Training set extension for SVM ensemble in P300-speller with familiar face paradigm.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: P300-spellers are brain-computer interface (BCI)-based character input systems. Support vector machine (SVM) ensembles are trained with large-scale training sets and used as classifiers in these systems. However, the required large-scale ...

Tobacco use status from clinical notes using Natural Language Processing and rule based algorithm.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: This cross-sectional retrospective study utilized Natural Language Processing (NLP) to extract tobacco-use associated variables from clinical notes documented in the Electronic Health Record (EHR).

Projection decomposition algorithm for dual-energy computed tomography via deep neural network.

Journal of X-ray science and technology
BACKGROUND: Dual-energy computed tomography (DECT) has been widely used to improve identification of substances from different spectral information. Decomposition of the mixed test samples into two materials relies on a well-calibrated material decom...

Robotic gaming prototype for upper limb exercise: Effects of age and embodiment on user preferences and movement.

Restorative neurology and neuroscience
BACKGROUND: Effective human-robot interactions in rehabilitation necessitates an understanding of how these should be tailored to the needs of the human. We report on a robotic system developed as a partner on a 3-D everyday task, using a gamified ap...

Data Mining and Machine Learning Methods for Dementia Research.

Methods in molecular biology (Clifton, N.J.)
Patient data in clinical research often includes large amounts of structured information, such as neuroimaging data, neuropsychological test results, and demographic variables. Given the various sources of information, we can develop computerized met...

Retinal Lesion Detection With Deep Learning Using Image Patches.

Investigative ophthalmology & visual science
PURPOSE: To develop an automated method of localizing and discerning multiple types of findings in retinal images using a limited set of training data without hard-coded feature extraction as a step toward generalizing these methods to rare disease d...

Novel Wearable Seismocardiography and Machine Learning Algorithms Can Assess Clinical Status of Heart Failure Patients.

Circulation. Heart failure
BACKGROUND: Remote monitoring of patients with heart failure (HF) using wearable devices can allow patient-specific adjustments to treatments and thereby potentially reduce hospitalizations. We aimed to assess HF state using wearable measurements of ...

Machine Learning Algorithm Predicts Cardiac Resynchronization Therapy Outcomes: Lessons From the COMPANION Trial.

Circulation. Arrhythmia and electrophysiology
BACKGROUND: Cardiac resynchronization therapy (CRT) reduces morbidity and mortality in heart failure patients with reduced left ventricular function and intraventricular conduction delay. However, individual outcomes vary significantly. This study so...

Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances.

Journal of the Royal Society, Interface
Widely developed for clinical screening, electrocardiogram (ECG) recordings capture the cardiac electrical activity from the body surface. ECG analysis can therefore be a crucial first step to help diagnose, understand and predict cardiovascular diso...