AIMC Topic: Case-Control Studies

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Assessing Breast Cancer Risk with an Artificial Neural Network.

Asian Pacific journal of cancer prevention : APJCP Apr 25, 2018
Objectives: Radiologists face uncertainty in making decisions based on their judgment of breast cancer risk. Artificial intelligence and machine learning techniques have been widely applied in detection/recognition of cancer. This study aimed to esta...
Follow-Up Studies Mammography Breast Prognosis Retrospective Studies Female Aged Breast Neoplasms Middle Aged Case-Control Studies Diagnosis, Computer-Assisted ROC Curve Humans Neural Networks, Computer Machine Learning Algorithms
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Hierarchical combinatorial deep learning architecture for pancreas segmentation of medical computed tomography cancer images.

BMC systems biology Apr 24, 2018
BACKGROUND: Efficient computational recognition and segmentation of target organ from medical images are foundational in diagnosis and treatment, especially about pancreas cancer. In practice, the diversity in appearance of pancreas and organs in abd...
Humans Tomography, X-Ray Computed Pancreas Case-Control Studies Deep Learning Image Processing, Computer-Assisted Pancreatic Neoplasms
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Assessing patient risk of central line-associated bacteremia via machine learning.

American journal of infection control Apr 13, 2018
BACKGROUND: Central line-associated bloodstream infections (CLABSIs) contribute to increased morbidity, length of hospital stay, and cost. Despite progress in understanding the risk factors, there remains a need to accurately predict the risk of CLAB...
Catheterization, Central Venous Catheter-Related Infections Academic Medical Centers Epidemiologic Methods Adolescent Child, Preschool Child Bacteremia Aged Machine Learning Aged, 80 and over Young Adult Adult Retrospective Studies Male Female Middle Aged Infant, Newborn Risk Assessment Infant Case-Control Studies Humans
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Feasibility of robot-based perturbed-balance training during treadmill walking in a high-functioning chronic stroke subject: a case-control study.

Journal of neuroengineering and rehabilitation Apr 11, 2018
BACKGROUND: For stroke survivors, balance deficits that persist after the completion of the rehabilitation process lead to a significant risk of falls. We have recently developed a balance-assessment robot (BAR-TM) that enables assessment of balancin...
Humans Robotics Postural Balance Walking Feasibility Studies Survivors Biomechanical Phenomena Male Middle Aged Case-Control Studies Stroke Rehabilitation
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Machine learning classification of first-episode schizophrenia spectrum disorders and controls using whole brain white matter fractional anisotropy.

BMC psychiatry Apr 10, 2018
BACKGROUND: Early diagnosis of schizophrenia could improve the outcome of the illness. Unlike classical between-group comparisons, machine learning can identify subtle disease patterns on a single subject level, which could help realize the potential...
Support Vector Machine Young Adult Schizophrenia Adult Early Diagnosis Male Diffusion Tensor Imaging Humans White Matter Case-Control Studies Anisotropy Brain Female
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Transcriptomics and machine learning predict diagnosis and severity of growth hormone deficiency.

JCI insight Apr 5, 2018
BACKGROUND: The effect of gene expression data on diagnosis remains limited. Here, we show how diagnosis and classification of growth hormone deficiency (GHD) can be achieved from a single blood sample using a combination of transcriptomics and rando...
Transcriptome Case-Control Studies Adolescent Human Growth Hormone Growth Disorders Female Male Severity of Illness Index Gene Expression Profiling Polymorphism, Single Nucleotide Predictive Value of Tests Principal Component Analysis Healthy Volunteers Datasets as Topic Child, Preschool Child ROC Curve Gene Regulatory Networks Humans Machine Learning Biomarkers
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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 ...
Water-Electrolyte Imbalance Male Blood Volume Hemorrhage Case-Control Studies Wounds and Injuries Photoplethysmography Humans Hypovolemia Support Vector Machine Algorithms Female Adult
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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...
Biomarkers, Tumor Case-Control Studies Chromatography, Liquid Diagnosis, Differential Tandem Mass Spectrometry Polyamines Adenomatous Polyposis Coli Machine Learning Prognosis Reproducibility of Results Colorectal Neoplasms Humans
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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.
Adult Breast Neoplasms Case-Control Studies ROC Curve Mammography Humans Neural Networks, Computer Retrospective Studies Female Area Under Curve Breast Parenchymal Tissue
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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...
Diagnosis, Computer-Assisted Diabetes Mellitus, Type 2 Image Processing, Computer-Assisted Automation Iris Sensitivity and Specificity Male Humans Middle Aged Machine Learning Case-Control Studies Female Reproducibility of Results
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