Surveys

Verbal Autopsy as a Tool for Defining Causes of Death in Specific Healthcare Contexts: Study of Applicability through a Traditional Literature Review.

Autopsy examination, the gold standard for defining causes of death, is often difficult to apply in certain health care settings, especially in developing countries. The COVID-19 pandemic and its associated difficulties in terms of implementing autopsy examinations have made the need for alternative means of determining causes of death even more evident. One of the most interesting alternatives to...

Jointly estimating bias field and reconstructing uniform MRI image by deep learning.

Bias field is one of the main artifacts that degrade the quality of magnetic resonance images. It introduces intensity inhomogeneity and affects image analysis such as segmentation. In this work, we proposed a deep learning approach to jointly estimate bias field and reconstruct uniform image. By modeling the quality degradation process as the product of a spatially varying field and a uniform ima...

Machine-learning as a validated tool to characterize individual differences in free recall of naturalistic events.

The use of naturalistic stimuli, such as narrative movies, is gaining popularity in many fields, characterizing memory, affect, and decision-making. N...

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

We aimed to identify the glucose metabolism statuses of nondiabetic Japanese adults using a machine learning model with a questionnaire. In this cross...

A Study on the Prediction of Cancer Using Whole-Genome Data and Deep Learning.

The number of patients diagnosed with cancer continues to increasingly rise, and has nearly doubled in 20 years. Therefore, predicting cancer occurren...

Algorithmic fairness in computational medicine.

Machine learning models are increasingly adopted for facilitating clinical decision-making. However, recent research has shown that machine learning t...

Sentiment Grading and Evaluation of Network Resources of Ideological and Political Education in Colleges and Universities: A Research Based on Artificial Intelligence.

The current new round of scientific and technological revolution represented by artificial intelligence is rapidly driving a new wave of development o...

Monitoring Technology of Abnormal Displacement of BeiDou Power Line Based on Artificial Neural Network.

In the practice of power line engineering, navigation and positioning technology is often used in the fields of information collection and analysis, o...

Physiological and perceptual consequences of trust in collaborative robots: An empirical investigation of human and robot factors.

Measuring trust is an important element of effective human-robot collaborations (HRCs). It has largely relied on subjective responses and thus cannot ...

Concurrent validity of artificial intelligence-based markerless motion capture for over-ground gait analysis: A study of spatiotemporal parameters.

Gait analysis is used in research and clinical environments; yet several limitations exist in current methodologies. Markerless systems, utilizing hig...

Intelligent Financial Auditing Model Based on Deep Learning.

The entire auditing process is complicated and tedious and requires a lot of human resources. Therefore, the intelligent development of auditing is th...

A novel machine learning model for class III surgery decision.

PURPOSE: The primary purpose of this study was to develop a new machine learning model for the surgery/non-surgery decision in class III patients and ...

Using natural language processing and machine learning to replace human content coders.

Content analysis is a common and flexible technique to quantify and make sense of qualitative data in psychological research. However, the practical i...

The Acceptability of Traditional Culture under the Background of Deep Learning.

The cultural values of a country impact its national psychology and identity. Citizens' values and public opinions are conveyed to state leaders over ...

Research on Mental Health Monitoring Scheme of Migrant Children Based on Convolutional Neural Network Based on Deep Learning.

In recent years, with the acceleration of urbanization and the implementation of compulsory education, the pressure on students' study and life has in...

Big Data Analysis of Benign Interaction of Great Power Relations and New International Relations Based on Deep Learning.

The development of a new type of international relations is the advancement and improvement of diplomatic thinking among contemporary nations. It also...

Rolling Bearing Fault Diagnosis Based on WGWOA-VMD-SVM.

A rolling bearing fault diagnosis method based on whale gray wolf optimization algorithm-variational mode decomposition-support vector machine (WGWOA-...

Intelligent Evaluation of Public Sports Service Based on Intuitionistic Fuzzy Set Theory.

At this stage, in the research process of sports public service efficiency evaluation and analysis, due to the use of accurate data analysis methods, ...

Deep Learning-Based Computed Tomography Features in Evaluating Early Screening and Risk Factors for Chronic Obstructive Pulmonary Disease.

This research aimed to investigate the diagnostic effect of computed tomography (CT) images based on a deep learning double residual convolution neura...

Analysis of College Students' Network Moral Behavior by the History of Ideological and Political Education under Deep Learning.

The research on the history of ideological and political education (IPE) is the basis for deepening it, and it is also of great help to higher educati...