AIMC Topic: Algorithms

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Discovery of phenotypic networks from genotypic association studies with application to obesity.

International journal of data mining and bioinformatics
Genome-wide Association Studies (GWAS) have resulted in many discovered risk variants for several obesity-related traits. However, before clinical relevance of these discoveries can be achieved, molecular or physiological mechanisms of these risk var...

Granular support vector machine to identify unknown structural classes of protein.

International journal of data mining and bioinformatics
To date, classification of structural class using local protein structure rather than the whole structure has been gaining widespread attention. It is noted that the structural class lies in local composition or arrangement of secondary structure, wh...

Regularised extreme learning machine with misclassification cost and rejection cost for gene expression data classification.

International journal of data mining and bioinformatics
The main purpose of traditional classification algorithms on bioinformatics application is to acquire better classification accuracy. However, these algorithms cannot meet the requirement that minimises the average misclassification cost. In this pap...

Body posture recognition and turning recording system for the care of bed bound patients.

Technology and health care : official journal of the European Society for Engineering and Medicine
This paper proposes body posture recognition and turning recording system for assisting the care of bed bound patients in nursing homes. The system continuously detects the patient's body posture and records the length of time for each body posture. ...

Multiple fuzzy c-means clustering algorithm in medical diagnosis.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: In recent years, the use of the fuzzy c-means (FCM) clustering techniques in medical diagnosis has steadily increased, because of its effectiveness in recognizing systems in the medical database to help medical experts diagnosing diseases...

Agent-based intelligent medical diagnosis system for patients.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: According to the analysis of the challenges faced by the current public health circumstances such as the sharp increase in elderly patients, limited medical personnel, resources and technology, the agent-based intelligent medical diagnosi...

BP neural network tuned PID controller for position tracking of a pneumatic artificial muscle.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Although Pneumatic Artificial Muscle (PAM) has a promising future in rehabilitation robots, it's difficult to realize accurate position control due to its highly nonlinear properties.

Evidence reasoning method for constructing conditional probability tables in a Bayesian network of multimorbidity.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: The intrinsic mechanism of multimorbidity is difficult to recognize and prediction and diagnosis are difficult to carry out accordingly. Bayesian networks can help to diagnose multimorbidity in health care, but it is difficult to obtain t...

Novel images extraction model using improved delay vector variance feature extraction and multi-kernel neural network for EEG detection and prediction.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Advanced intelligent methodologies could help detect and predict diseases from the EEG signals in cases the manual analysis is inefficient available, for instance, the epileptic seizures detection and prediction. This is because the diver...

A novel medical information management and decision model for uncertain demand optimization.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Accurately planning the procurement volume is an effective measure for controlling the medicine inventory cost. Due to uncertain demand it is difficult to make accurate decision on procurement volume. As to the biomedicine sensitive to ti...