AI Medical Compendium Journal:
PeerJ. Computer science

Showing 41 to 50 of 54 articles

Identifying Twitter users who repost unreliable news sources with linguistic information.

PeerJ. Computer science
Social media has become a popular source for online news consumption with millions of users worldwide. However, it has become a primary platform for spreading disinformation with severe societal implications. Automatically identifying social media us...

Artificial intelligence and multi agent based distributed ledger system for better privacy and security of electronic healthcare records.

PeerJ. Computer science
BACKGROUND: Application of Artificial Intelligence (AI) and the use of agent-based systems in the healthcare system have attracted various researchers to improve the efficiency and utility in the Electronic Health Records (EHR). Nowadays, one of the ...

Big data clustering techniques based on Spark: a literature review.

PeerJ. Computer science
A popular unsupervised learning method, known as clustering, is extensively used in data mining, machine learning and pattern recognition. The procedure involves grouping of single and distinct points in a group in such a way that they are either sim...

A machine learning framework for the prediction of chromatin folding in using epigenetic features.

PeerJ. Computer science
Technological advances have lead to the creation of large epigenetic datasets, including information about DNA binding proteins and DNA spatial structure. Hi-C experiments have revealed that chromosomes are subdivided into sets of self-interacting do...

Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks.

PeerJ. Computer science
BACKGROUND AND OBJECTIVE: The COVID-19 pandemic has caused severe mortality across the globe, with the USA as the current epicenter of the COVID-19 epidemic even though the initial outbreak was in Wuhan, China. Many studies successfully applied machi...

Deep artificial neural network based on environmental sound data for the generation of a children activity classification model.

PeerJ. Computer science
Children activity recognition (CAR) is a subject for which numerous works have been developed in recent years, most of them focused on monitoring and safety. Commonly, these works use as data source different types of sensors that can interfere with ...

A multi-task pipeline with specialized streams for classification and segmentation of infection manifestations in COVID-19 scans.

PeerJ. Computer science
We are concerned with the challenge of coronavirus disease (COVID-19) detection in chest X-ray and Computed Tomography (CT) scans, and the classification and segmentation of related infection manifestations. Even though it is arguably not an establis...

FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features.

PeerJ. Computer science
The precise and rapid diagnosis of coronavirus (COVID-19) at the very primary stage helps doctors to manage patients in high workload conditions. In addition, it prevents the spread of this pandemic virus. Computer-aided diagnosis (CAD) based on arti...

Democratizing AI: non-expert design of prediction tasks.

PeerJ. Computer science
Non-experts have long made important contributions to machine learning (ML) by contributing training data, and recent work has shown that non-experts can also help with feature engineering by suggesting novel predictive features. However, non-experts...

Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques.

PeerJ. Computer science
Food consumption patterns have undergone changes that in recent years have resulted in serious health problems. Studies based on the evaluation of the nutritional status have determined that the adoption of a food pattern-based primarily on a Mediter...