AIMC Topic: Female

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Machine Learning and Deep Learning Approaches in Breast Cancer Survival Prediction Using Clinical Data.

Folia biologica Jan 1, 2019
Breast cancer survival prediction can have an extreme effect on selection of best treatment protocols. Many approaches such as statistical or machine learning models have been employed to predict the survival prospects of patients, but newer algorith...
Neural Networks, Computer Female Aged Aged, 80 and over Young Adult Humans Demography Support Vector Machine Decision Trees Survival Analysis Calibration Adult Breast Neoplasms Middle Aged Deep Learning
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Hematological disturbances in Down syndrome: single centre experience of thirteen years and review of the literature.

The Turkish journal of pediatrics Jan 1, 2019
Karakurt N, Uslu İ, Aygün C, Albayrak C. Hematological disturbances in Down syndrome: single centre experience of thirteen years and review of the literature. Turk J Pediatr 2019; 61: 664-670. Neonates with Down syndrome (DS) may have hematological a...
Child Logistic Models Risk Factors Follow-Up Studies Humans Down Syndrome Blood Cell Count Male Retrospective Studies Hematologic Diseases Female Infant Infant, Newborn Child, Preschool
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Relationship of the low-density lipoprotein (LDL)/high-density lipoprotein (HDL) index with antioxidant enzymes and with the oxLDL/HDL index.

Gaceta medica de Mexico Jan 1, 2019
INTRODUCTION: The low-density lipoprotein (LDL)/high-density lipoprotein (HDL) index is a predictive factor for atherosclerosis, which is associated with oxidative modifications.
Superoxide Dismutase Age Factors Obesity Lipoproteins, LDL Cross-Sectional Studies Male Oxidative Stress Insulin Resistance Nails Smoking Magnesium Sex Factors Glutathione Peroxidase Lipoproteins, HDL Humans Female Adult
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Regeneration of Denervated Skeletal Muscles - Brunelli's CNS-PNS Paradigm.

Journal of medicine and life Jan 1, 2019
The restoration of voluntary muscle activity in posttraumatic paraplegia in both animal experiments and other clinical applications requires reproducibility of a technically-demanding microsurgical procedure, limited by physicians' understanding of B...
Female Central Nervous System Rats, Sprague-Dawley Reproducibility of Results Nerve Regeneration Action Potentials Animals Peripheral Nervous System Muscle, Skeletal Amino Acids
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Carpal Bone Segmentation Using Fully Convolutional Neural Network.

Current medical imaging reviews Jan 1, 2019
BACKGROUND: Bone Age Assessment (BAA) refers to a clinical procedure that aims to identify a discrepancy between biological and chronological age of an individual by assessing the bone age growth. Currently, there are two main methods of executing BA...
Neural Networks, Computer Female Infant, Newborn Male Adolescent Child, Preschool Child Infant Deep Learning Humans Black or African American Asian People Age Determination by Skeleton Hispanic or Latino Carpal Bones Sex Factors White People
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MRI Imaging, Comparison of MRI with other Modalities, Noise in MRI Images and Machine Learning Techniques for Noise Removal: A Review.

Current medical imaging reviews Jan 1, 2019
BACKGROUND: Medical imaging is to assume greater and greater significance in an efficient and precise diagnosis process.
Machine Learning Tomography, X-Ray Computed Female Sensitivity and Specificity Diagnostic Imaging Humans Artifacts Male Magnetic Resonance Imaging
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Machine-learning approaches in psychotherapy: a promising tool for advancing the understanding of the psychotherapeutic process.

Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) Jan 1, 2019
Videotape Recording Psychotherapeutic Processes Personality Disorders Humans Treatment Outcome Machine Learning Reproducibility of Results Psychotherapy Female Medically Unexplained Symptoms Aged
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Quantification of hepatic steatosis in histologic images by deep learning method.

Journal of X-ray science and technology Jan 1, 2019
OBJECTIVE: To develop and test a novel method for automatic quantification of hepatic steatosis in histologic images based on the deep learning scheme designed to predict the fat ratio directly, which aims to improve accuracy in diagnosis of non-alco...
Non-alcoholic Fatty Liver Disease Deep Learning Liver Diet, High-Fat Rabbits Tomography, X-Ray Computed Female Animals Male Neural Networks, Computer
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The Tumor Target Segmentation of Nasopharyngeal Cancer in CT Images Based on Deep Learning Methods.

Technology in cancer research & treatment Jan 1, 2019
Radiotherapy is the main treatment strategy for nasopharyngeal carcinoma. A major factor affecting radiotherapy outcome is the accuracy of target delineation. Target delineation is time-consuming, and the results can vary depending on the experience ...
Models, Theoretical Neoplasm Staging Neoplasm Grading Organs at Risk Middle Aged Deep Learning Adolescent Image Processing, Computer-Assisted Radiotherapy Planning, Computer-Assisted Nasopharyngeal Neoplasms Radiotherapy, Image-Guided Humans Algorithms Tomography, X-Ray Computed Female Young Adult Aged Adult Male
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Deep learning-based automatic blood pressure measurement: evaluation of the effect of deep breathing, talking and arm movement.

Annals of medicine Jan 1, 2019
It is clinically important to evaluate the performance of a newly developed blood pressure (BP) measurement method under different measurement conditions. This study aims to evaluate the performance of using deep learning-based method to measure BPs...
Female Aged Young Adult Adult Blood Pressure Determination Healthy Volunteers Male Humans Blood Pressure Automation Middle Aged Movement Deep Learning Speech
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