AIMC Topic: Neural Networks, Computer

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Using Machine Learning for Personalized Patient Adherence Level Determination.

Studies in health technology and informatics
The paper deals with using a machine-learning algorithm for patient adherence level determination. For this purpose, we developed a neural network using the Python language, Keras library, and PyCharm platform. We analyzed different medical data coll...

Estimating Systolic Blood Pressure Using Convolutional Neural Networks.

Studies in health technology and informatics
Continuous blood pressure (BP) monitoring can produce a significant amount of digital data, which increases the chance of early diagnosis and improve the rate of survival for people diagnosed with hypertension and Cardiovascular diseases (CVDs). Howe...

On the Potential for Open-Endedness in Neural Networks.

Artificial life
Natural evolution gives the impression of leading to an open-ended process of increasing diversity and complexity. If our goal is to produce such open-endedness artificially, this suggests an approach driven by evolutionary metaphor. On the other han...

Atherosclerotic carotid plaque on panoramic radiographs: neural network detection.

International journal of computerized dentistry
AIM: Atherosclerotic carotid plaques (ACPs) constitute the main etiological factor in about 15% of strokes. ACPs can be detected on routine dental panoramic radiographs. As these are one of the most commonly performed dental images, they can be used ...

Chemical-protein interaction extraction via contextualized word representations and multihead attention.

Database : the journal of biological databases and curation
A rich source of chemical-protein interactions (CPIs) is locked in the exponentially growing biomedical literature. Automatic extraction of CPIs is a crucial task in biomedical natural language processing (NLP), which has great benefits for pharmacol...

Photographic LVAD Driveline Wound Infection Recognition Using Deep Learning.

Studies in health technology and informatics
The steady increase in the number of patients equipped with mechanical heart support implants, such as left ventricular assist devices (LVAD), along with virtually ubiquitous 24/7 internet connectivity coverage is motive to investigate and develop re...

Closed-Loop Systems and In Vitro Neuronal Cultures: Overview and Applications.

Advances in neurobiology
One of the main limitations preventing the realization of a successful dialogue between the brain and a putative enabling device is the intricacy of brain signals. In this perspective, closed-loop in vitro systems can be used to investigate the inter...

Quantitative Modelling of the Waddington Epigenetic Landscape.

Methods in molecular biology (Clifton, N.J.)
C.H. Waddington introduced the epigenetic landscape as a metaphor to represent cellular decision-making during development. Like a population of balls rolling down a rough hillside, developing cells follow specific trajectories (valleys) and eventual...

Three-Dimensional Classification Structure-Activity Relationship Analysis Using Convolutional Neural Network.

Chemical & pharmaceutical bulletin
Quantitative structure-activity relationship (QSAR) techniques, especially those that possess three-dimensional attributes, such as the comparative molecular field analysis (CoMFA), are frequently used in modern-day drug design and other related rese...

A SEMG-angle model based on HMM for human robot interaction.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: An important part of the rehabilitation process using exoskeleton robots has been the creation of a friendly Human Robot Interaction (HRI) system.