AIMC Topic: Young Adult
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Real-time estimation of electric fields induced by transcranial magnetic stimulation with deep neural networks.
Brain stimulation
Jun 17, 2019
BACKGROUND: Transcranial magnetic stimulation (TMS) plays an important role in treatment of mental and neurological illnesses, and neurosurgery. However, it is difficult to target specific brain regions accurately because the complex anatomy of the b...
SIMON, an Automated Machine Learning System, Reveals Immune Signatures of Influenza Vaccine Responses.
Journal of immunology (Baltimore, Md. : 1950)
Jun 14, 2019
Machine learning holds considerable promise for understanding complex biological processes such as vaccine responses. Capturing interindividual variability is essential to increase the statistical power necessary for building more accurate predictive...
Automatic CIN Grades Prediction of Sequential Cervigram Image Using LSTM With Multistate CNN Features.
IEEE journal of biomedical and health informatics
Jun 13, 2019
Cervical cancer ranks as the second most common cancer in women worldwide. In clinical practice, colposcopy is an indispensable part of screening for cervical intraepithelial neoplasia (CIN) grades and cervical cancer but exhibits high misdiagnosis r...
Development of a Natural Language Processing Algorithm to Identify and Evaluate Transgender Patients in Electronic Health Record Systems.
Ethnicity & disease
Jun 13, 2019
OBJECTIVE: To create a natural language processing (NLP) algorithm to identify transgender patients in electronic health records.
An intelligent warning model for early prediction of cardiac arrest in sepsis patients.
Computer methods and programs in biomedicine
Jun 11, 2019
BACKGROUND: Sepsis-associated cardiac arrest is a common issue with the low survival rate. Early prediction of cardiac arrest can provide the time required for intervening and preventing its onset in order to reduce mortality. Several studies have be...
Male
Reproducibility of Results
Middle Aged
Humans
Multivariate Analysis
Severity of Illness Index
Vital Signs
Case-Control Studies
Young Adult
Adolescent
Machine Learning
Normal Distribution
Sepsis
Adult
Incidence
Algorithms
Heart Arrest
Sensitivity and Specificity
Decision Trees
Electronic Health Records
Monitoring, Ambulatory
Female
APACHE
Machine-learning based brain age estimation in major depression showing no evidence of accelerated aging.
Psychiatry research. Neuroimaging
Jun 11, 2019
Molecular biological findings indicate that affective disorders are associated with processes akin to accelerated aging of the brain. The use of the BrainAGE (brain age estimation gap) framework allows machine-learning based detection of a gap betwee...
Slow cortical potential signal classification using concave-convex feature.
Journal of neuroscience methods
Jun 8, 2019
BACKGROUND: The classification of the slow cortical potential (SCP) signals plays a key role in a variety of research areas, including disease diagnostics, human-machine interaction, and education. The widely used classification methods, which combin...
IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment.
Journal of medical systems
Jun 7, 2019
Wart disease (WD) is a skin illness on the human body which is caused by the human papillomavirus (HPV). This study mainly concentrates on common and plantar warts. There are various treatment methods for this disease, including the popular immunothe...
Using heart rate profiles during sleep as a biomarker of depression.
BMC psychiatry
Jun 7, 2019
BACKGROUND: Abnormalities in heart rate during sleep linked to impaired neuro-cardiac modulation may provide new information about physiological sleep signatures of depression. This study assessed the validity of an algorithm using patterns of heart ...
Model of a Support Vector Machine to Assess the Functional Cure for Surgery of Intermittent Exotropia.
Scientific reports
Jun 6, 2019
In this paper the optimum timing for the postoperative functional cure of basic intermittent exotropia is explored based on support vector machine (SVM). One hundred and thirty-two patients were recruited in this prospective cross-sectional study wit...
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