AIMC Topic: Case-Control Studies

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Modelling disease risk for amyloid A (AA) amyloidosis in non-human primates using machine learning.

Amyloid : the international journal of experimental and clinical investigation : the official journal of the International Society of Amyloidosis Jun 18, 2019
Amyloid A (AA) amyloidosis is found in humans and non-human primates, but quantifying disease risk prior to clinical symptoms is challenging. We applied machine learning to identify the best predictors of amyloidosis in rhesus macaques from availabl...
Male Case-Control Studies Serum Amyloid A Protein Diarrhea Adenocarcinoma Triglycerides Disease Models, Animal Arthritis Endometriosis Wounds and Injuries Cholesterol, HDL Macaca mulatta Amyloidosis Colitis Models, Statistical Cholesterol, LDL Gastrointestinal Neoplasms Biomarkers Humans Retrospective Studies Female Machine Learning Risk Factors Animals
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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...
Multivariate Analysis Vital Signs Normal Distribution Heart Arrest Adolescent Incidence Decision Trees Monitoring, Ambulatory APACHE Female Reproducibility of Results Young Adult Adult Sensitivity and Specificity Male Middle Aged Severity of Illness Index Case-Control Studies Sepsis Humans Machine Learning Algorithms Electronic Health Records
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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...
Humans Adult Male Middle Aged Depressive Disorder, Major Case-Control Studies Pilot Projects Machine Learning Brain Female Aged Young Adult Aging, Premature Magnetic Resonance Imaging Statistics as Topic
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Development of machine learning algorithms for prediction of prolonged opioid prescription after surgery for lumbar disc herniation.

The spine journal : official journal of the North American Spine Society Jun 9, 2019
BACKGROUND CONTEXT: Spine surgery has been identified as a risk factor for prolonged postoperative opioid use. Preoperative prediction of opioid use could improve risk stratification, shared decision-making, and patient counseling before surgery.
Humans Machine Learning Retrospective Studies Female Pain, Postoperative Intervertebral Disc Displacement Adult Lumbar Vertebrae Drug Administration Schedule Male Analgesics, Opioid Orthopedic Procedures Middle Aged Case-Control Studies Logistic Models
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Salivary microRNAs identified by small RNA sequencing and machine learning as potential biomarkers of alcohol dependence.

Epigenomics May 29, 2019
Salivary miRNA can be easily accessible biomarkers of alcohol dependence (AD). The miRNA transcriptome in the saliva of 56 African-Americans (AAs; 28 AD patients/28 controls) and 64 European-Americans (EAs; 32 AD patients/32 controls) was profiled ...
Humans Alcoholism Machine Learning Black or African American Case-Control Studies Biomarkers Sequence Analysis, RNA Female MicroRNAs Adult Saliva Male White People Middle Aged Gene Expression Regulation
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Rapid discrimination of multiple myeloma patients by artificial neural networks coupled with mass spectrometry of peripheral blood plasma.

Scientific reports May 28, 2019
Multiple myeloma (MM) is a highly heterogeneous disease of malignant plasma cells. Diagnosis and monitoring of MM patients is based on bone marrow biopsies and detection of abnormal immunoglobulin in serum and/or urine. However, biopsies have a singl...
Case-Control Studies Metabolome Principal Component Analysis Metabolic Networks and Pathways Bone Marrow Datasets as Topic Immunoglobulins Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Multiple Myeloma Female Aged Aged, 80 and over Male Middle Aged Humans Neural Networks, Computer Artificial Intelligence
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Identifying psychosis spectrum disorder from experience sampling data using machine learning approaches.

Schizophrenia research May 16, 2019
The ubiquity of smartphones opened up the possibility of widespread use of the Experience Sampling Method (ESM). The method is used to collect longitudinal data of participants' daily life experiences and is ideal to capture fluctuations in emotions ...
Humans Psychotic Disorders Neural Networks, Computer Monte Carlo Method Ecological Momentary Assessment Smartphone Machine Learning Logistic Models Female Support Vector Machine Male Emotions Case-Control Studies Principal Component Analysis ROC Curve
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Classifying intracranial stenosis disease severity from functional MRI data using machine learning.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism May 8, 2019
Translation of many non-invasive hemodynamic MRI methods to cerebrovascular disease patients has been hampered by well-known artifacts associated with delayed blood arrival times and reduced microvascular compliance. Using machine learning and suppor...
Cerebral Angiography Case-Control Studies Image Processing, Computer-Assisted Magnetic Resonance Angiography Humans Cerebrovascular Circulation Machine Learning Moyamoya Disease Sensitivity and Specificity Brain Middle Aged Female Severity of Illness Index Young Adult
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Deep Learning/Artificial Intelligence and Blood-Based DNA Epigenomic Prediction of Cerebral Palsy.

International journal of molecular sciences Apr 27, 2019
The etiology of cerebral palsy (CP) is complex and remains inadequately understood. Early detection of CP is an important clinical objective as this improves long term outcomes. We performed genome-wide DNA methylation analysis to identify epigenomic...
Deep Learning Humans DNA Methylation ROC Curve Artificial Intelligence Cell-Free Nucleic Acids Infant, Newborn Gene Regulatory Networks CpG Islands Epigenesis, Genetic Cerebral Palsy Epigenomics Gene Expression Profiling Case-Control Studies
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Evaluate driver response to active warning system in level-2 automated vehicles.

Accident; analysis and prevention Apr 18, 2019
As vehicles with automated functions become more prevalent on U.S. roadways, maintaining driver attention while the vehicle is engaged in automation will be an important consideration for safe operation of these vehicles. The objective of this paper ...
Automation Protective Devices Motor Vehicles Middle Aged Case-Control Studies Humans Time Factors Artificial Intelligence Attention Female Automobile Driving Young Adult Adult Male
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