AI Medical Compendium Journal:
Mathematical biosciences and engineering : MBE

Showing 121 to 130 of 288 articles

Enhanced disease-disease association with information enriched disease representation.

Mathematical biosciences and engineering : MBE
OBJECTIVE: Quantification of disease-disease association (DDA) enables the understanding of disease relationships for discovering disease progression and finding comorbidity. For effective DDA strength calculation, there is a need to address the main...

A review on multimodal machine learning in medical diagnostics.

Mathematical biosciences and engineering : MBE
Nowadays, the increasing number of medical diagnostic data and clinical data provide more complementary references for doctors to make diagnosis to patients. For example, with medical data, such as electrocardiography (ECG), machine learning algorith...

A systematic review of image-guided, surgical robot-assisted percutaneous puncture: Challenges and benefits.

Mathematical biosciences and engineering : MBE
Percutaneous puncture is a common medical procedure that involves accessing an internal organ or tissue through the skin. Image guidance and surgical robots have been increasingly used to assist with percutaneous procedures, but the challenges and be...

Machine learning-based evaluation of application value of pulse wave parameter model in the diagnosis of hypertensive disorder in pregnancy.

Mathematical biosciences and engineering : MBE
Hypertensive disorder in pregnancy (HDP) remains a major health burden, and it is associated with systemic cardiovascular adaptation. The pulse wave is an important basis for evaluating the status of the human cardiovascular system. This research aim...

Facial expression recognition using lightweight deep learning modeling.

Mathematical biosciences and engineering : MBE
Facial expression is a type of communication and is useful in many areas of computer vision, including intelligent visual surveillance, human-robot interaction and human behavior analysis. A deep learning approach is presented to classify happy, sad,...

Driver identification and fatigue detection algorithm based on deep learning.

Mathematical biosciences and engineering : MBE
In order to avoid traffic accidents caused by driver fatigue, smoking and talking on the phone, it is necessary to design an effective fatigue detection algorithm. Firstly, this paper studies the detection algorithms of driver fatigue at home and abr...

A double-channel multiscale depthwise separable convolutional neural network for abnormal gait recognition.

Mathematical biosciences and engineering : MBE
Abnormal gait recognition is important for detecting body part weakness and diagnosing diseases. The abnormal gait hides a considerable amount of information. In order to extract the fine, spatial feature information in the abnormal gait and reduce t...

Single dendritic neural classification with an effective spherical search-based whale learning algorithm.

Mathematical biosciences and engineering : MBE
McCulloch-Pitts neuron-based neural networks have been the mainstream deep learning methods, achieving breakthrough in various real-world applications. However, McCulloch-Pitts neuron is also under longtime criticism of being overly simplistic. To al...

Temporal fact extraction of fruit cultivation technologies based on deep learning.

Mathematical biosciences and engineering : MBE
There are great differences in fruit planting techniques due to different regional environments. Farmers can't use the same standard in growing fruit. Most of the information about fruit planting comes from the Internet, which is characterized by com...

An efficient deep learning based predictor for identifying miRNA-triggered phasiRNA loci in plant.

Mathematical biosciences and engineering : MBE
Phasic small interfering RNAs are plant secondary small interference RNAs that typically generated by the convergence of miRNAs and polyadenylated mRNAs. A growing number of studies have shown that miRNA-initiated phasiRNA plays crucial roles in regu...