AIMC Topic: Female

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Seeking for potential pathogenic genes of major depressive disorder in the Gene Expression Omnibus database.

Asia-Pacific psychiatry : official journal of the Pacific Rim College of Psychiatrists Dec 30, 2019
INTRODUCTION: Major depressive disorder (MDD) is one of the most common mental disorders worldwide. The aim of this study was to identify potential pathological genes in MDD.
Humans Female Reproducibility of Results Aged Male Databases, Genetic Gene Expression Gene Ontology Middle Aged Depressive Disorder, Major Reverse Transcriptase Polymerase Chain Reaction Protein Interaction Maps Computational Biology
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Development of a Novel Prognostic Model to Predict 6-Month Swallowing Recovery After Ischemic Stroke.

Stroke Dec 30, 2019
Background and Purpose- The aim of this study was to explore clinical and radiological prognostic factors for long-term swallowing recovery in patients with poststroke dysphagia and to develop and validate a prognostic model using a machine learning ...
Middle Aged Magnetic Resonance Imaging Recovery of Function Fluoroscopy Stroke Prognosis Female Reproducibility of Results Humans Aged Machine Learning Male Algorithms Deglutition Disorders White Matter Sex Factors Enteral Nutrition Brain Ischemia Proportional Hazards Models Multivariate Analysis Cerebral Cortex Basal Ganglia Brain Stem Internal Capsule
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[Long-term efficacy of parathyroidectomy in secondary and tertiary hyperparathyroidism].

Revista medica del Instituto Mexicano del Seguro Social Dec 30, 2019
BACKGROUND: Secondary and tertiary hyperparathyroidism (SHPT and THPT), are complications of chronic kidney disease (CKD), characterized by high levels of serum parathormone, hyperphosphatemia or hypercalcemia, respectively. If diet and pharmacologic...
Parathyroidectomy Mexico Humans Chi-Square Distribution Hyperparathyroidism Retrospective Studies Kidney Failure, Chronic Hypocalcemia Female Parathyroid Hormone Adult Hyperparathyroidism, Secondary Male
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Prediction of IDH and TERT promoter mutations in low-grade glioma from magnetic resonance images using a convolutional neural network.

Scientific reports Dec 30, 2019
Identification of genotypes is crucial for treatment of glioma. Here, we developed a method to predict tumor genotypes using a pretrained convolutional neural network (CNN) from magnetic resonance (MR) images and compared the accuracy to that of a di...
Promoter Regions, Genetic Isocitrate Dehydrogenase Telomerase Female Reproducibility of Results Biomarkers, Tumor Male Image Processing, Computer-Assisted Glioma Magnetic Resonance Imaging Neoplasm Staging Neoplasm Grading Humans Mutation Neural Networks, Computer
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Rule-based and machine learning algorithms identify patients with systemic sclerosis accurately in the electronic health record.

Arthritis research & therapy Dec 30, 2019
BACKGROUND: Systemic sclerosis (SSc) is a rare disease with studies limited by small sample sizes. Electronic health records (EHRs) represent a powerful tool to study patients with rare diseases such as SSc, but validated methods are needed. We devel...
Aged Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged International Classification of Diseases Scleroderma, Systemic Algorithms Databases, Factual Electronic Health Records Female Reproducibility of Results Humans Machine Learning
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The implementation of natural language processing to extract index lesions from breast magnetic resonance imaging reports.

BMC medical informatics and decision making Dec 30, 2019
BACKGROUND: There are often multiple lesions in breast magnetic resonance imaging (MRI) reports and radiologists usually focus on describing the index lesion that is most crucial to clinicians in determining the management and prognosis of patients. ...
Breast Information Storage and Retrieval Breast Neoplasms Cross-Sectional Studies Middle Aged Magnetic Resonance Imaging Natural Language Processing Humans Female
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Use of natural language processing to improve predictive models for imaging utilization in children presenting to the emergency department.

BMC medical informatics and decision making Dec 30, 2019
OBJECTIVE: To examine the association between the medical imaging utilization and information related to patients' socioeconomic, demographic and clinical factors during the patients' ED visits; and to develop predictive models using these associated...
Humans Tomography, X-Ray Computed Female Logistic Models United States Socioeconomic Factors Triage Natural Language Processing Male Infant Adolescent Child, Preschool Child Radiography Emergency Service, Hospital Health Care Surveys Patient Acceptance of Health Care
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DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network.

BMC medical informatics and decision making Dec 30, 2019
BACKGROUND: Fetal heart rate (FHR) monitoring is a screening tool used by obstetricians to evaluate the fetal state. Because of the complexity and non-linearity, a visual interpretation of FHR signals using common guidelines usually results in signif...
Diagnosis, Computer-Assisted Deep Learning Cardiotocography Heart Rate, Fetal Fetal Diseases Acidosis Fetal Hypoxia Neural Networks, Computer Databases, Factual Pregnancy Humans Female Sensitivity and Specificity
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A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis.

Computational and mathematical methods in medicine Dec 30, 2019
Magnetic resonance (MR) imaging is a widely used imaging modality for detection of brain anatomical variations caused by brain diseases such as Alzheimer's disease (AD) and mild cognitive impairment (MCI). AD considered as an irreversible neurodegene...
Diagnosis, Computer-Assisted Cognitive Dysfunction Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Machine Learning Discriminant Analysis Reproducibility of Results Algorithms Aged Databases, Factual Male Biomarkers Neuroimaging Middle Aged Brain Female Disease Progression Alzheimer Disease Positron-Emission Tomography Image Interpretation, Computer-Assisted Linear Models Pattern Recognition, Automated
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A modern approach to identifying and characterizing child asthma and wheeze phenotypes based on clinical data.

PloS one Dec 30, 2019
'Asthma' is a complex disease that encapsulates a heterogeneous group of phenotypes and endotypes. Research to understand these phenotypes has previously been based on longitudinal wheeze patterns or hypothesis-driven observational criteria. The aim ...
Medical History Taking Leukocyte Count Respiratory Sounds Twins Diseases in Twins Humans Severity of Illness Index Machine Learning Adolescent Data Analysis Child Biomarkers Regression Analysis Eosinophils Female Sweden Risk Factors Asthma Male
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