AI Medical Compendium Topic:
Case-Control Studies

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Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia.

PloS one Mar 29, 2018
Identifying trauma patients at risk of imminent hemorrhagic shock is a challenging task in intraoperative and battlefield settings given the variability of traditional vital signs, such as heart rate and blood pressure, and their inability to detect ...
Wounds and Injuries Hypovolemia Blood Volume Case-Control Studies Photoplethysmography Support Vector Machine Water-Electrolyte Imbalance Hemorrhage Humans Algorithms Female Adult Male
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Urinary Polyamine Biomarker Panels with Machine-Learning Differentiated Colorectal Cancers, Benign Disease, and Healthy Controls.

International journal of molecular sciences Mar 7, 2018
Colorectal cancer (CRC) is one of the most daunting diseases due to its increasing worldwide prevalence, which requires imperative development of minimally or non-invasive screening tests. Urinary polyamines have been reported as potential markers to...
Humans Case-Control Studies Chromatography, Liquid Tandem Mass Spectrometry Machine Learning Polyamines Prognosis Diagnosis, Differential Adenomatous Polyposis Coli Reproducibility of Results Colorectal Neoplasms Biomarkers, Tumor
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Using Convolutional Neural Networks for Enhanced Capture of Breast Parenchymal Complexity Patterns Associated with Breast Cancer Risk.

Academic radiology Feb 1, 2018
RATIONALE AND OBJECTIVES: We evaluate utilizing convolutional neural networks (CNNs) to optimally fuse parenchymal complexity measurements generated by texture analysis into discriminative meta-features relevant for breast cancer risk prediction.
Mammography Humans Neural Networks, Computer Female Area Under Curve Retrospective Studies Adult Breast Breast Neoplasms Case-Control Studies Parenchymal Tissue ROC Curve
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Machine learning techniques for medical diagnosis of diabetes using iris images.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: Complementary and alternative medicine techniques have shown their potential for the treatment and diagnosis of chronical diseases like diabetes, arthritis etc. On the same time digital image processing techniques for diseas...
Humans Machine Learning Case-Control Studies Diagnosis, Computer-Assisted Diabetes Mellitus, Type 2 Image Processing, Computer-Assisted Automation Female Reproducibility of Results Sensitivity and Specificity Male Middle Aged Iris
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Identification of candidate serum biomarkers of childhood-onset growth hormone deficiency using SWATH-MS and feature selection.

Journal of proteomics Jan 6, 2018
UNLABELLED: A typical clinical manifestation of growth hormone deficiency (GHD) is a short stature resulting from delayed growth, but GHD affects bone health, cardiovascular function and metabolic profile and therefore quality of life. Although early...
Child, Preschool Child Mass Spectrometry beta-Thromboglobulin Female Humans Age of Onset Male Machine Learning Case-Control Studies Apolipoproteins Algorithms Adolescent Apolipoproteins A Biomarkers Human Growth Hormone
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Natural language processing of clinical notes for identification of critical limb ischemia.

International journal of medical informatics Dec 28, 2017
BACKGROUND: Critical limb ischemia (CLI) is a complication of advanced peripheral artery disease (PAD) with diagnosis based on the presence of clinical signs and symptoms. However, automated identification of cases from electronic health records (EHR...
Data Mining Ischemia Male Case-Control Studies Lower Extremity Peripheral Arterial Disease Natural Language Processing Humans Algorithms Electronic Health Records Female Aged
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Association of the CYP17 MSP AI (T-34C) and CYP19 codon 39 (Trp/Arg) polymorphisms with susceptibility to acne vulgaris.

Clinical and experimental dermatology Dec 28, 2017
The aim of this study was to detect the association of the cytochrome P450 (CYP) 17 T-34C and CYP19 T
Humans Female Young Adult Adult Iran Polymorphism, Genetic Acne Vulgaris Aromatase Steroid 17-alpha-Hydroxylase Male Case-Control Studies Adolescent Genetic Predisposition to Disease Genotype
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Key Clinical Factors Predicting Adipokine and Oxidative Stress Marker Concentrations among Normal, Overweight and Obese Pregnant Women Using Artificial Neural Networks.

International journal of molecular sciences Dec 28, 2017
Maternal obesity has been related to adverse neonatal outcomes and fetal programming. Oxidative stress and adipokines are potential biomarkers in such pregnancies; thus, the measurement of these molecules has been considered critical. Therefore, we d...
Adiponectin Gestational Age Resistin Pregnancy Trimester, Third Deoxyguanosine Humans DNA Neural Networks, Computer Gene Expression Biomarkers Oxidative Stress 8-Hydroxy-2'-Deoxyguanosine Pregnancy Protein Carbonylation Malondialdehyde Female Leptin Body Mass Index Adult Severity of Illness Index Age Factors Case-Control Studies Obesity
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Effect of Intercostal Nerve Block and Nephrostomy Tract Infiltration With Ropivacaine on Postoperative Pain Control After Tubeless Percutaneous Nephrolithotomy: A Prospective, Randomized, and Case-controlled Trial.

Urology Dec 27, 2017
OBJECTIVE: To determine the efficacy of intercostal nerve block and nephrostomy tract infiltration (NTI) with ropivacaine in patients undergoing tubeless percutaneous nephrolithotomy (TPCNL).
Patient Positioning Case-Control Studies Adult Pain, Postoperative Male Analysis of Variance Humans Length of Stay Middle Aged Ropivacaine Prospective Studies Nerve Block Nephrolithotomy, Percutaneous Risk Assessment Prognosis Nephrolithiasis Intraoperative Care Severity of Illness Index Treatment Outcome Female Chi-Square Distribution Intercostal Nerves Pain Measurement Aged Ultrasonography, Doppler Nephrostomy, Percutaneous
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Single-ended prediction of listening effort using deep neural networks.

Hearing research Dec 27, 2017
The effort required to listen to and understand noisy speech is an important factor in the evaluation of noise reduction schemes. This paper introduces a model for Listening Effort prediction from Acoustic Parameters (LEAP). The model is based on met...
Humans Female Aged Young Adult Adult Male Middle Aged Case-Control Studies Hearing Models, Psychological Deep Learning Persons with Hearing Disabilities Perceptual Masking Noise Speech Perception Attention Hearing Disorders Audiometry, Speech Acoustic Stimulation Auditory Pathways
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