AIMC Topic: Case-Control Studies

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Automatic Segmentation, Detection, and Diagnosis of Abdominal Aortic Aneurysm (AAA) Using Convolutional Neural Networks and Hough Circles Algorithm.

Cardiovascular engineering and technology Jun 19, 2019
PURPOSE: An abdominal aortic aneurysm (AAA) is known as a cardiovascular disease involving localized deformation (swelling or enlargement) of aorta occurring between the renal and iliac arteries. AAA would jeopardize patients' lives due to its ruptur...
Aorta, Abdominal Computed Tomography Angiography Aortography Case-Control Studies Predictive Value of Tests Aortic Aneurysm, Abdominal Radiographic Image Interpretation, Computer-Assisted Automation Humans Neural Networks, Computer Prognosis Reproducibility of Results
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Diagnosis of Alzheimer's disease with Sobolev gradient-based optimization and 3D convolutional neural network.

International journal for numerical methods in biomedical engineering Jun 19, 2019
Alzheimer's disease is a neuropsychiatric, progressive, also an irreversible disease. There is not an effective cure for the disease. However, early diagnosis has an important role for treatment planning to delay its progression since the treatments ...
Humans Neural Networks, Computer Diagnosis, Computer-Assisted Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Alzheimer Disease Algorithms Female Aged Male Case-Control Studies
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Diagnostic value of spirometry vs impulse oscillometry: A comparative study in children with sickle cell disease.

Pediatric pulmonology Jun 18, 2019
BACKGROUND: Spirometry is conventionally used to diagnose airway diseases in children with sickle cell disease (C-SCD). However, spirometry is difficult for younger children to perform, is effort dependent, and it provides limited information on resp...
Respiratory Function Tests Spirometry Respiratory Mechanics Vital Capacity Bronchodilator Agents Adolescent Child, Preschool Child ROC Curve Anemia, Sickle Cell Oscillometry Humans Machine Learning Retrospective Studies Female Asthma Male Lung 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...
Female Risk Factors Animals Male Case-Control Studies Diarrhea Humans Machine Learning Biomarkers Retrospective Studies Wounds and Injuries Macaca mulatta Colitis Serum Amyloid A Protein Endometriosis Cholesterol, HDL Amyloidosis Triglycerides Arthritis Adenocarcinoma Disease Models, Animal Models, Statistical Cholesterol, LDL Gastrointestinal Neoplasms
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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...
Reproducibility of Results Young Adult Adult Sensitivity and Specificity Male Middle Aged Severity of Illness Index Case-Control Studies Sepsis Adolescent Incidence Humans Machine Learning Algorithms Electronic Health Records Female Normal Distribution Decision Trees Heart Arrest Monitoring, Ambulatory APACHE Multivariate Analysis Vital Signs
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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...
Statistics as Topic Female Humans Aged Middle Aged Machine Learning Young Adult Depressive Disorder, Major Adult Brain Case-Control Studies Male Pilot Projects Aging, Premature Magnetic Resonance Imaging
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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.
Intervertebral Disc Displacement Drug Administration Schedule Orthopedic Procedures Case-Control Studies Logistic Models Pain, Postoperative Lumbar Vertebrae Analgesics, Opioid Humans Machine Learning Retrospective Studies Female Adult Male Middle Aged
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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 ...
Saliva White People Gene Expression Regulation Alcoholism Black or African American Humans Machine Learning Biomarkers Female Adult Male Middle Aged Case-Control Studies Sequence Analysis, RNA MicroRNAs
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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...
Metabolic Networks and Pathways Datasets as Topic Bone Marrow Humans Immunoglobulins Male Neural Networks, Computer Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Artificial Intelligence Middle Aged Multiple Myeloma Case-Control Studies Metabolome Principal Component Analysis Female Aged Aged, 80 and over
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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 ...
Male Humans Case-Control Studies Neural Networks, Computer Emotions Machine Learning ROC Curve Principal Component Analysis Female Smartphone Psychotic Disorders Monte Carlo Method Logistic Models Ecological Momentary Assessment Support Vector Machine
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