AIMC Topic: Humans

Showing 65191 to 65200 of 95995 articles
Clear Filters

Predicting anxiety from wholebrain activity patterns to emotional faces in young adults: a machine learning approach.

NeuroImage. Clinical Apr 3, 2019
BACKGROUND: It is becoming increasingly clear that pathophysiological processes underlying psychiatric disorders categories are heterogeneous on many levels, including symptoms, disease course, comorbidity and biological underpinnings. This heterogen...
Anxiety Adolescent Magnetic Resonance Imaging Emotions Humans Brain Mapping Machine Learning Facial Expression Female Brain Facial Recognition Young Adult Adult Male
View on PubMed DOI

Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease.

NeuroImage. Clinical Apr 3, 2019
BACKGROUND: In a clinical setting, an individual subject classification model rather than a group analysis would be more informative. Specifically, the subtlety of cortical atrophy in some frontotemporal dementia (FTD) patients and overlapping patter...
Male Middle Aged Diagnosis, Computer-Assisted Alzheimer Disease Positron-Emission Tomography Machine Learning Humans Frontotemporal Dementia Brain Female Aged
View on PubMed DOI

Diagnostic accuracy of frontotemporal dementia. An artificial intelligence-powered study of symptoms, imaging and clinical judgement.

Advances in medical sciences Apr 2, 2019
PURPOSE: Frontotemporal dementia (FTD) is a neurodegenerative disorder associated with a poor prognosis and a substantial reduction in quality of life. The rate of misdiagnosis of FTD is very high, with patients often waiting for years without a firm...
Aged Aged, 80 and over Middle Aged Frontotemporal Dementia Humans Artificial Intelligence Algorithms Retrospective Studies
View on PubMed DOI

CaseSolver: An investigative open source expert system based on EuroForMix.

Forensic science international. Genetics Apr 2, 2019
For very serious crimes, reporting scientists often have to contend with complex cases where literally hundreds of items are submitted by investigators for analysis. In order to efficiently expedite the challenge of comparing reference profiles to ev...
Microsatellite Repeats Expert Systems Forensic Genetics Humans DNA Fingerprinting Gene Frequency Software Likelihood Functions Databases, Nucleic Acid
View on PubMed DOI

Analyzing DNA methylation patterns in subjects diagnosed with schizophrenia using machine learning methods.

Journal of psychiatric research Apr 2, 2019
Schizophrenia is a common mental disorder with high heritability. It is genetically complex and to date more than a hundred risk loci have been identified. Association of environmental factors and schizophrenia has also been reported, while epigeneti...
Male Middle Aged Case-Control Studies DNA Methylation Schizophrenia Gene Expression Regulation Humans Machine Learning Brain Female
View on PubMed DOI

Equivalent circuit models for a biomembrane impedance sensor and analysis of electrochemical impedance spectra based on support vector regression.

Medical & biological engineering & computing Apr 2, 2019
In this study, an electrochemical impedance biosensor was developed as a simple and fast method for real-time monitoring of biofilm binding properties via continuous impedance spectroscopy. To prepare the sensing membrane, cells were immobilized onto...
Electric Impedance Membranes, Artificial Dielectric Spectroscopy Cells, Immobilized Collodion MCF-7 Cells Humans Principal Component Analysis Biosensing Techniques Cell Count Support Vector Machine Electrodes
View on PubMed DOI

Predicting discharge placement after elective surgery for lumbar spinal stenosis using machine learning methods.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Apr 2, 2019
PURPOSE: An excessive amount of total hospitalization is caused by delays due to patients waiting to be placed in a rehabilitation facility or skilled nursing facility (RF/SNF). An accurate preoperative prediction of who would need a RF/SNF place aft...
Middle Aged Humans Predictive Value of Tests Neural Networks, Computer Postoperative Care Machine Learning Quality Improvement Elective Surgical Procedures Patient Transfer Lumbar Vertebrae Algorithms Rehabilitation Centers Skilled Nursing Facilities Patient Discharge Female Spinal Stenosis Aged Netherlands Male
View on PubMed DOI

Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study.

The Lancet. Oncology Apr 2, 2019
BACKGROUND: The Response Assessment in Neuro-Oncology (RANO) criteria and requirements for a uniform protocol have been introduced to standardise assessment of MRI scans in both clinical trials and clinical practice. However, these criteria mainly re...
Image Interpretation, Computer-Assisted Automation Germany Clinical Trials, Phase III as Topic Female Clinical Trials, Phase II as Topic Reproducibility of Results Predictive Value of Tests Brain Neoplasms Workflow Male Tumor Burden Humans Disease Progression Magnetic Resonance Imaging Neural Networks, Computer Diagnosis, Computer-Assisted Multicenter Studies as Topic Databases, Factual Time Factors Randomized Controlled Trials as Topic Retrospective Studies Treatment Outcome
View on PubMed DOI

On the Vulnerability of CNN Classifiers in EEG-Based BCIs.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 2, 2019
Deep learning has been successfully used in numerous applications because of its outstanding performance and the ability to avoid manual feature engineering. One such application is electroencephalogram (EEG)-based brain-computer interface (BCI), whe...
Humans Neural Networks, Computer Machine Learning Algorithms Signal Processing, Computer-Assisted Brain-Computer Interfaces Event-Related Potentials, P300 Imagination Reproducibility of Results Deep Learning Models, Theoretical Electroencephalography
View on PubMed DOI

A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans.

International journal of molecular sciences Apr 2, 2019
Gene fusions have a very important role in the study of cancer development. In this regard, predicting the probability of protein fusion transcripts of developing into a cancer is a very challenging and yet not fully explored research problem. To thi...
Humans Neural Networks, Computer Algorithms Deep Learning Probability Oncogene Fusion
View on PubMed DOI
Popular Topics
Recent Journals