AIMC Topic: Algorithms

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Feature selection may improve deep neural networks for the bioinformatics problems.

Bioinformatics (Oxford, England)
MOTIVATION: Deep neural network (DNN) algorithms were utilized in predicting various biomedical phenotypes recently, and demonstrated very good prediction performances without selecting features. This study proposed a hypothesis that the DNN models m...

Modeling engagement in long-term, in-home socially assistive robot interventions for children with autism spectrum disorders.

Science robotics
Socially assistive robotics (SAR) has great potential to provide accessible, affordable, and personalized therapeutic interventions for children with autism spectrum disorders (ASD). However, human-robot interaction (HRI) methods are still limited in...

[Research and application of orthotopic DR chest radiograph quality control system based on artificial intelligence].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
With the change of medical diagnosis and treatment mode, the quality of medical image directly affects the diagnosis and treatment of the disease for doctors. Therefore, realization of intelligent image quality control by computer will have a greater...

[Prognostic model of small sample critical diseases based on transfer learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Aiming at the problem that the small samples of critical disease in clinic may lead to prognostic models with poor performance of overfitting, large prediction error and instability, the long short-term memory transferring algorithm (transLSTM) was p...

Analysis of several key factors influencing deep learning-based inter-residue contact prediction.

Bioinformatics (Oxford, England)
MOTIVATION: Deep learning has become the dominant technology for protein contact prediction. However, the factors that affect the performance of deep learning in contact prediction have not been systematically investigated.

[Application of Radiomics in Classification and Prediction of Benign and Malignant Lung Tumors].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Aiming at the lack of quantitative evaluation methods in clinical diagnosis of lung cancer, a classification and prediction model of lung cancer based on Support Vector Machine (SVM) was constructed by using radiomics method. Firstly, the definition ...

Determination of Electrocution Using Fourier Transform Infrared Microspectroscopy and Machine Learning Algorithm.

Fa yi xue za zhi
Objective To analyze the differences among electrical damage, burns and abrasions in pig skin using Fourier transform infrared microspectroscopy (FTIR-MSP) combined with machine learning algorithm, to construct three kinds of skin injury determinatio...