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Cohort Studies

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Machine-learning prediction of adolescent alcohol use: a cross-study, cross-cultural validation.

Addiction (Abingdon, England) Dec 21, 2018
BACKGROUND AND AIMS: The experience of alcohol use among adolescents is complex, with international differences in age of purchase and individual differences in consumption and consequences. This latter underlines the importance of prediction modelin...
Female Male Adolescent Cohort Studies Neural Networks, Computer Machine Learning Humans Algorithms Forecasting Australia Regression Analysis Cross-Cultural Comparison Underage Drinking Risk-Taking Child Canada Logistic Models Support Vector Machine
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Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study.

The Lancet. Oncology Dec 21, 2018
BACKGROUND: The incidence of thyroid cancer is rising steadily because of overdiagnosis and overtreatment conferred by widespread use of sensitive imaging techniques for screening. This overall incidence growth is especially driven by increased diagn...
Thyroid Neoplasms Ultrasonography ROC Curve Area Under Curve Risk Assessment China Incidence Cohort Studies Adult Sensitivity and Specificity Male Middle Aged Databases, Factual Humans Retrospective Studies Neural Networks, Computer Female
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Machine learning for predicting psychotic relapse at 2 years in schizophrenia in the national FACE-SZ cohort.

Progress in neuro-psychopharmacology & biological psychiatry Dec 12, 2018
BACKGROUND: Predicting psychotic relapse is one of the major challenges in the daily care of schizophrenia.
Cohort Studies Follow-Up Studies Schizophrenia Psychotic Disorders Sensitivity and Specificity Male Diagnosis, Computer-Assisted Psychiatric Status Rating Scales Recurrence Schizophrenic Psychology Aggression Prognosis Female Adult Humans Machine Learning
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Editorial. Pediatric stereoelectroencephalography: review of a cohort.

Journal of neurosurgery. Pediatrics Dec 7, 2018
Cohort Studies Child Robotics Electroencephalography Stereotaxic Techniques Humans
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Association Between Early Intravenous Fluids Provided by Paramedics and Subsequent In-Hospital Mortality Among Patients With Sepsis.

JAMA network open Dec 7, 2018
IMPORTANCE: Early administration of intravenous fluids is recommended for all patients with sepsis, but the association of this treatment with mortality may depend on the patient's initial blood pressure.
Sepsis Cohort Studies Emergency Medical Services Blood Pressure Fluid Therapy Aged Aged, 80 and over Male Middle Aged Humans Female
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Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy.

Nature communications Dec 6, 2018
Analysis of sleep for the diagnosis of sleep disorders such as Type-1 Narcolepsy (T1N) currently requires visual inspection of polysomnography records by trained scoring technicians. Here, we used neural networks in approximately 3,000 normal and abn...
Male Aged Middle Aged Young Adult Adolescent Sleep Stages Narcolepsy Humans Adult Cohort Studies Polysomnography Neural Networks, Computer Sensitivity and Specificity HLA-DQ beta-Chains Algorithms Female
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Identifying Cases of Metastatic Prostate Cancer Using Machine Learning on Electronic Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Cancer stage is rarely captured in structured form in the electronic health record (EHR). We evaluate the performance of a classifier, trained on structured EHR data, in identifying prostate cancer patients with metastatic disease. Using EHR data for...
Cohort Studies Prostatic Neoplasms Information Storage and Retrieval Neoplasm Staging Humans Medical Informatics Neoplasm Metastasis Machine Learning California Electronic Health Records International Classification of Diseases Male Proof of Concept Study
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Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Parkinson's Disease (PD) is one of the most prevalent neurodegenerative diseases that affects tens of millions of Americans. PD is highly progressive and heterogeneous. Quite a few studies have been conducted in recent years on predictive or disease ...
Biomarkers Brain Disease Progression Humans Neuroimaging Deep Learning Cohort Studies Models, Neurological Parkinson Disease
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The Role of a Deep-Learning Method for Negation Detection in Patient Cohort Identification from Electroencephalography Reports.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Detecting negation in biomedical texts entails the automatic identification of negation cues (e.g. "never", "not", "no longer") as well as the scope of these cues. When medical concepts or terms are identified within the scope of a negation cue, thei...
Natural Language Processing Humans Electroencephalography Deep Learning Information Storage and Retrieval Cohort Studies Electronic Data Processing
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Application of Machine Learning Methods to Predict Non-Alcoholic Steatohepatitis (NASH) in Non-Alcoholic Fatty Liver (NAFL) Patients.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide. NAFLD patients have excessive liver fat (steatosis), without other liver diseases and without excessive alcohol consumption. NAFLD consists of a spectr...
Aspartate Aminotransferases Liver Function Tests Disease Progression Case-Control Studies Biomarkers Cohort Studies Electronic Health Records Decision Trees Diabetes Mellitus, Type 2 Female Risk Factors Supervised Machine Learning Humans Fatty Liver Non-alcoholic Fatty Liver Disease Aged Logistic Models Hepatitis Male Liver Cirrhosis Alanine Transaminase Middle Aged Health Status
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