AIMC Topic: Algorithms

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Chemical-gene relation extraction using recursive neural network.

Database : the journal of biological databases and curation Jan 1, 2018
In this article, we describe our system for the CHEMPROT task of the BioCreative VI challenge. Although considerable research on the named entity recognition of genes and drugs has been conducted, there is limited research on extracting relationships...
Databases, Chemical Neural Networks, Computer Genes Algorithms
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Machine Learning Methods in Computational Toxicology.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2018
Various methods of machine learning, supervised and unsupervised, linear and nonlinear, classification and regression, in combination with various types of molecular descriptors, both "handcrafted" and "data-driven," are considered in the context of ...
Machine Learning Linear Models Algorithms Deep Learning Quantitative Structure-Activity Relationship Neural Networks, Computer Computer Simulation Toxicology Support Vector Machine
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A portable back massage robot based on Traditional Chinese Medicine.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
OBJECTIVE: A portable back massage robot which can complete the massage operations such as tapping, kneading and rolling was designed to improve the level of intelligence and massage effect. An efficient full covered path planning algorithm was put f...
Humans Algorithms Massage Equipment Design Medicine, Chinese Traditional Robotics
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Breast cancer tumor type recognition using graph feature selection technique and radial basis function neural network with optimal structure.

Journal of cancer research and therapeutics Jan 1, 2018
CONTEXT: Breast cancer is a major cause of mortality in young women in the developing countries. Early diagnosis is the key to improve survival rate in cancer patients.
Algorithms Databases, Factual Computer Simulation Humans Neural Networks, Computer Diagnosis, Computer-Assisted Models, Statistical Pattern Recognition, Automated Female Prognosis Breast Neoplasms
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Predicting Depression Among Community Residing Older Adults: A Use of Machine Learning Approch.

Studies in health technology and informatics Jan 1, 2018
The study demonstrated an application of machine learning techniques in building a depression prediction model. We used the NSHAP II data (3,377 subjects and 261 variables) and built the models using a logistic regression with and without L1 regulari...
Logistic Models Models, Theoretical Forecasting Aged Machine Learning Depression Algorithms Humans
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Deep Learning Role in Early Diagnosis of Prostate Cancer.

Technology in cancer research & treatment Jan 1, 2018
The objective of this work is to develop a computer-aided diagnostic system for early diagnosis of prostate cancer. The presented system integrates both clinical biomarkers (prostate-specific antigen) and extracted features from diffusion-weighted ma...
Algorithms Reproducibility of Results Humans Image Interpretation, Computer-Assisted Deep Learning Diffusion Magnetic Resonance Imaging Sensitivity and Specificity ROC Curve Prostatic Neoplasms Male Early Detection of Cancer
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Human emotion classification based on multiple physiological signals by wearable system.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
BACKGROUND: Human emotion classification is traditionally achieved using multi-channel electroencephalogram (EEG) signal, which requires costly equipment and complex classification algorithms.
Signal Processing, Computer-Assisted Monitoring, Ambulatory Respiration Emotions Posture Electroencephalography Electrocardiography Support Vector Machine Algorithms Wearable Electronic Devices Humans
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Development of a Computer-Aided Dosage and Telemonitoring System for Patients Under Oral Anticoagulation Therapy.

Studies in health technology and informatics Jan 1, 2018
In this paper, we present a system that allows patients who require anticoagulation medicine an opportunity to independently manage their dosage concentration with the help of two machine learning algorithms. The basic idea is to predict the next dos...
Anticoagulants Blood Coagulation Telemedicine Algorithms Computers Physical Therapy Modalities Humans Machine Learning
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A New Machine Learning Framework for Understanding the Link Between Cannabis Use and First-Episode Psychosis.

Studies in health technology and informatics Jan 1, 2018
Lately, several studies started to investigate the existence of links between cannabis use and psychotic disorders. This work proposes a refined Machine Learning framework for understanding the links between cannabis use and 1st episode psychosis. Th...
Machine Learning Algorithms ROC Curve Humans Psychotic Disorders Psychoses, Substance-Induced Cannabis
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Classification of single-channel EEG signals for epileptic seizures detection based on hybrid features.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
BACKGROUND: Epilepsy is a common chronic neurological disorder of the brain. Clinically, epileptic seizures are usually detected via the continuous monitoring of electroencephalogram (EEG) signals by experienced neurophysiologists.
Algorithms Sensitivity and Specificity Epilepsy Signal Processing, Computer-Assisted Electroencephalography Humans Machine Learning
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