AIMC Topic: Databases, Factual

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Machine Learning for Renal Pathologies: An Updated Survey.

Sensors (Basel, Switzerland)
Within the literature concerning modern machine learning techniques applied to the medical field, there is a growing interest in the application of these technologies to the nephrological area, especially regarding the study of renal pathologies, bec...

Research on Sports Health Care Information System Based on Computer Deep Learning Algorithm.

Computational intelligence and neuroscience
There are various problems in diagnosing and treating tumor diseases in significant hospitals. The content includes misjudgement and over-surgery issues. For example, the judgment of pulmonary nodules mainly relies on artificial experience, and most ...

A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques.

Sensors (Basel, Switzerland)
Wireless networks have drastically influenced our lifestyle, changing our workplaces and society. Among the variety of wireless technology, Wi-Fi surely plays a leading role, especially in local area networks. The spread of mobiles and tablets, and m...

Analysis of Data Interaction Process Based on Data Mining and Neural Network Topology Visualization.

Computational intelligence and neuroscience
This paper addresses data mining and neural network model construction and analysis to design a data interaction process model based on data mining and topology visualization. This paper performs preprocessing data operations such as data filtering a...

Development of a natural language processing algorithm to detect chronic cough in electronic health records.

BMC pulmonary medicine
BACKGROUND: Chronic cough (CC) is difficult to identify in electronic health records (EHRs) due to the lack of specific diagnostic codes. We developed a natural language processing (NLP) model to identify cough in free-text provider notes in EHRs fro...

Machine learning in the identification, prediction and exploration of environmental toxicology: Challenges and perspectives.

Journal of hazardous materials
Over the past few decades, data-driven machine learning (ML) has distinguished itself from hypothesis-driven studies and has recently received much attention in environmental toxicology. However, the use of ML in environmental toxicology remains in t...

Application of Artificial Intelligence Methodologies to Chronic Wound Care and Management: A Scoping Review.

Advances in wound care
As the number of hard-to-heal wound cases rises with the aging of the population and the spread of chronic diseases, health care professionals struggle to provide safe and effective care to all their patients simultaneously. This study aimed at prov...

An Online Prognostic Application for Melanoma Based on Machine Learning and Statistics.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS
BACKGROUND: Melanoma is a common cancer that causes a severe socioeconomic burden. Patients usually turn to plastic surgeons to determine their prognosis after surgery.

Deep Learning and Infrared Spectroscopy: Representation Learning with a β-Variational Autoencoder.

The journal of physical chemistry letters
Infrared (IR) spectra contain detailed and extensive information about the chemical composition and bonding environment in a sample. However, this information is difficult to extract from complex heterogeneous systems because of overlapping absorptio...

Machine learning and artificial intelligence in cardiac transplantation: A systematic review.

Artificial organs
BACKGROUND: This review aims to systematically evaluate the currently available evidence investigating the use of artificial intelligence (AI) and machine learning (ML) in the field of cardiac transplantation. Furthermore, based on the challenges ide...