AIMC Topic: Male

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Identification of Type 2 Diabetes Risk Factors Using Phenotypes Consisting of Anthropometry and Triglycerides based on Machine Learning.

IEEE journal of biomedical and health informatics
The hypertriglyceridemic waist (HW) phenotype is strongly associated with type 2 diabetes; however, to date, no study has assessed the predictive power of phenotypes based on individual anthropometric measurements and triglyceride (TG) levels. The ai...

Feature extraction and classification for EEG signals using wavelet transform and machine learning techniques.

Australasian physical & engineering sciences in medicine
This paper describes a discrete wavelet transform-based feature extraction scheme for the classification of EEG signals. In this scheme, the discrete wavelet transform is applied on EEG signals and the relative wavelet energy is calculated in terms o...

Rapid automated classification of anesthetic depth levels using GPU based parallelization of neural networks.

Journal of medical systems
The effect of anesthesia on the patient is referred to as depth of anesthesia. Rapid classification of appropriate depth level of anesthesia is a matter of great importance in surgical operations. Similarly, accelerating classification algorithms is ...

Analyses of a cirrhotic patient's evolution using self organizing mapping and Child-Pugh scoring.

Journal of medical systems
Due to the importance of cirrhosis evolution, this study examined cirrhotic patients using Self Organizing Mapping (SOM) based on the Child-Pugh scoring method. Because Colored Doppler Ultrasound (CDU) has too many parameters, scoring can be a very d...

Pharmacokinetics of single and repeat doses of icatibant.

Clinical pharmacology in drug development
PURPOSE: Icatibant is a bradykinin-2 receptor antagonist approved to treat acute hereditary angioedema attacks in adults. To-date, no thorough investigation of the clinical pharmacokinetic (PK) parameters of icatibant and its primary metabolites has ...

Evaluation of a knowledge-based planning solution for head and neck cancer.

International journal of radiation oncology, biology, physics
PURPOSE: Automated and knowledge-based planning techniques aim to reduce variations in plan quality. RapidPlan uses a library consisting of different patient plans to make a model that can predict achievable dose-volume histograms (DVHs) for new pati...