AIMC Topic: Humans

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Classifying the lifestyle status for Alzheimer's disease from clinical notes using deep learning with weak supervision.

BMC medical informatics and decision making
BACKGROUND: Since no effective therapies exist for Alzheimer's disease (AD), prevention has become more critical through lifestyle status changes and interventions. Analyzing electronic health records (EHRs) of patients with AD can help us better und...

A conversational agent system for dietary supplements use.

BMC medical informatics and decision making
BACKGROUND: Dietary supplements (DS) have been widely used by consumers, but the information around the efficacy and safety of DS is disparate or incomplete, thus creating barriers for consumers to find information effectively. Conversational agent (...

Shared intentionality and the representation of groups; or, how to build a socially adept robot.

The Behavioral and brain sciences
Pietraszewski provides a compelling case that representations of certain interaction-types are the "cognitive primitives" that allow all tokens of to be represented within the mind. Here, I argue that the folk concept GROUP encodes shared intentions...

Inverse folding based pre-training for the reliable identification of intrinsic transcription terminators.

PLoS computational biology
It is well-established that neural networks can predict or identify structural motifs of non-coding RNAs (ncRNAs). Yet, the neural network based identification of RNA structural motifs is limited by the availability of training data that are often in...

Appropriate Supervised Machine Learning Techniques for Mesothelioma Detection and Cure.

BioMed research international
Mesothelioma is a dangerous, violent cancer, which forms a protecting layer around inner tissues such as the lungs, stomach, and heart. We investigate numerous AI methodologies and consider the exact DM conclusion outcomes in this study, which focuse...

A Comparison of Decision Tree Algorithms in the Assessment of Biomedical Data.

BioMed research international
By comparing the performance of various tree algorithms, we can determine which one is most useful for analyzing biomedical data. In artificial intelligence, decision trees are a classification model known for their visual aid in making decisions. WE...

The Cognitive Transformation of Japanese Language Education by Artificial Intelligence Technology in the Wireless Network Environment.

Computational intelligence and neuroscience
This study aims to solve the multiscale problems faced by the current classroom student behavior target detection based on the convolutional neural network (CNN) in the wireless network environment. Firstly, the recent reform of Japanese language edu...

Feasibility Analysis of Mutual Benefit Cooperation between Environment-Embedded Art Design Education and Local SMEs Development Based on Improved Grey Analysis.

Journal of environmental and public health
With the continuous progress of the economic era, both art and design education and local small and medium-sized enterprises are facing the crisis of survival and the pressure of competition, forcing the two to join hands to resist this crisis. The p...

Research on emergency management of urban waterlogging based on similarity fusion of multi-source heterogeneous data.

PloS one
Global warming has seriously affected the local climate characteristics of cities, resulting in the frequent occurrence of urban waterlogging with severe economic losses and casualties. Aiming to improve the effectiveness of disaster emergency manage...