AIMC Topic: Humans

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Construction of College English Teaching Environment Assessment Model Based on BP Neural Network and Multiple Intelligence Theory.

Journal of environmental and public health
College English has almost always been a required course, and a college student's level of English proficiency is one of the factors used to assess their learning capacity. The quality of students' English learning is largely influenced by the level ...

Analysis of the Effect of Classroom Reform of English Literature on the Theme of Environmental Protection in Universities Based on Artificial Intelligence Technology.

Journal of environmental and public health
Under the current theme of environmental protection, the effect of English literature classroom teaching reform cannot be analyzed qualitatively. Based on BP neural network, we present an analytical model of the impact of College English Literature C...

Identifying Glucose Metabolism Status in Nondiabetic Japanese Adults Using Machine Learning Model with Simple Questionnaire.

Computational and mathematical methods in medicine
We aimed to identify the glucose metabolism statuses of nondiabetic Japanese adults using a machine learning model with a questionnaire. In this cross-sectional study, Japanese adults (aged 20-64 years) from Tokyo and surrounding areas were recruited...

Research on Medical Big Data Analysis and Disease Prediction Method Based on Artificial Intelligence.

Computational and mathematical methods in medicine
In recent years, the continuous development of big data, cloud services, Internet+, artificial intelligence, and other technologies has accelerated the improvement of data communication services in the traditional pharmaceutical industry. It plays a ...

A Deep Neural Network Ensemble Classifier with Focal Loss for Automatic Arrhythmia Classification.

Journal of healthcare engineering
Automated electrocardiogram classification techniques play an important role in assisting physicians in diagnosing arrhythmia. Among these, the automatic classification of single-lead heartbeats has received wider attention due to the urgent need for...

A systematic review of robot-assisted anti-reflux surgery to examine reporting standards.

Journal of robotic surgery
Robot-assisted anti-reflux surgery (RA-ARS) is increasingly being used to treat refractory gastro-oesophageal reflux disease. The IDEAL (Idea, Development, Exploration, Assessment, Long-term follow up) Collaboration's framework aims to improve the ev...

Rapid identification of salmonella serovars by using Raman spectroscopy and machine learning algorithm.

Talanta
A widespread and escalating public health problem worldwide is foodborne illness, and foodborne Salmonella infection is one of the most common causes of human illness.For the three most pathogenic Salmonella serotypes, Raman spectroscopy was employed...

Performance analysis of the compact haematology analyser Sight OLO.

International journal of laboratory hematology
INTRODUCTION: Sight OLO is a compact full blood count (FBC) analyser that uses digital imaging techniques and artificial intelligence to count and assess cellular components of capillary or venous blood. It provides a FBC with a 5-part white blood ce...

QCforever: A Quantum Chemistry Wrapper for Everyone to Use in Black-Box Optimization.

Journal of chemical information and modeling
To obtain observable physical or molecular properties such as ionization potential and fluorescent wavelength with quantum chemical (QC) computation, multi-step computation manipulated by a human is required. Hence, automating the multi-step computat...