AIMC Topic: Female

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Deep Learning Algorithm for Automated Cardiac Murmur Detection via a Digital Stethoscope Platform.

Journal of the American Heart Association Apr 26, 2021
Background Clinicians vary markedly in their ability to detect murmurs during cardiac auscultation and identify the underlying pathological features. Deep learning approaches have shown promise in medicine by transforming collected data into clinical...
Heart Murmurs Adolescent Equipment Design Stethoscopes Heart Auscultation Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Algorithms Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Cross-Sectional Studies Humans
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Pre-existing and machine learning-based models for cardiovascular risk prediction.

Scientific reports Apr 26, 2021
Predicting the risk of cardiovascular disease is the key to primary prevention. Machine learning has attracted attention in analyzing increasingly large, complex healthcare data. We assessed discrimination and calibration of pre-existing cardiovascul...
Aged Adult Male Cardiovascular Diseases Middle Aged Humans Risk Assessment Machine Learning Models, Cardiovascular Female Risk Factors
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Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissection.

Scientific reports Apr 26, 2021
Machine learning (ML) and deep learning (DL) can successfully predict high prevalence events in very large databases (big data), but the value of this methodology for risk prediction in smaller cohorts with uncommon diseases and infrequent events is ...
Models, Cardiovascular Hospital Mortality Coronary Artery Disease Coronary Vessels Rupture, Spontaneous Male Middle Aged Databases, Factual Risk Assessment Humans Electronic Health Records Deep Learning Female Adult
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Development and initial validation of a deep learning algorithm to quantify histological features in colorectal carcinoma including tumour budding/poorly differentiated clusters.

Histopathology Apr 25, 2021
AIMS: To develop and validate a deep learning algorithm to quantify a broad spectrum of histological features in colorectal carcinoma.
Colon Female Humans Deep Learning Cohort Studies Aged Prognosis Lymphocytes, Tumor-Infiltrating Colorectal Neoplasms Lymphatic Metastasis Male
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Machine learning to reveal an astute risk predictive framework for Gynecologic Cancer and its impact on women psychology: Bangladeshi perspective.

BMC bioinformatics Apr 24, 2021
BACKGROUND: In this research, an astute system has been developed by using machine learning and data mining approach to predict the risk level of cervical and ovarian cancer in association to stress.
Child Logistic Models Bayes Theorem Humans Neural Networks, Computer Machine Learning Algorithms Pregnancy Female Neoplasms
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Cancer Classification with a Cost-Sensitive Naive Bayes Stacking Ensemble.

Computational and mathematical methods in medicine Apr 24, 2021
Ensemble learning combines multiple learners to perform combinatorial learning, which has advantages of good flexibility and higher generalization performance. To achieve higher quality cancer classification, in this study, the fast correlation-based...
Female Humans Computational Biology Male Gene Expression Regulation, Neoplastic Decision Trees Neural Networks, Computer Neoplasms Support Vector Machine Machine Learning Bayes Theorem ROC Curve Databases, Genetic Algorithms Oligonucleotide Array Sequence Analysis Oncogenes
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Machine Learning with F-Sodium Fluoride PET and Quantitative Plaque Analysis on CT Angiography for the Future Risk of Myocardial Infarction.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Apr 23, 2021
Coronary F-sodium fluoride (F-NaF) PET and CT angiography-based quantitative plaque analysis have shown promise in refining risk stratification in patients with coronary artery disease. We combined both of these novel imaging approaches to develop an...
Machine Learning Female Aged Male Humans Myocardial Infarction Fluorine Radioisotopes Plaque, Atherosclerotic Sodium Fluoride Middle Aged Image Processing, Computer-Assisted Positron Emission Tomography Computed Tomography Coronary Artery Disease Computed Tomography Angiography
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Deep Learning Estimation of 10-2 and 24-2 Visual Field Metrics Based on Thickness Maps from Macula OCT.

Ophthalmology Apr 23, 2021
PURPOSE: To develop deep learning (DL) systems estimating visual function from macula-centered spectral-domain (SD) OCT images.
Humans Glaucoma Female Aged Cross-Sectional Studies Intraocular Pressure Male Benchmarking Middle Aged Visual Fields Deep Learning Macula Lutea Follow-Up Studies Tomography, Optical Coherence
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Senhance surgical system in benign hysterectomy: A real-world comparative assessment of case times and instrument costs versus da Vinci robotics and laparoscopic-assisted vaginal hysterectomy procedures.

The international journal of medical robotics + computer assisted surgery : MRCAS Apr 23, 2021
OBJECTIVES: Comparison of retrospective, learning curve benign hysterectomy cost and case time data from Senhance total laparoscopic hysterectomy (TLH) cases with similar da Vinci robot cases and laparoscopic-assisted vaginal hysterectomy (LAVH) case...
Hysterectomy Hysterectomy, Vaginal Retrospective Studies Female Robotics Laparoscopy Humans
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Prediction of Genotype Positivity in Patients With Hypertrophic Cardiomyopathy Using Machine Learning.

Circulation. Genomic and precision medicine Apr 23, 2021
BACKGROUND: Genetic testing can determine family screening strategies and has prognostic and diagnostic value in hypertrophic cardiomyopathy (HCM). However, it can also pose a significant psychosocial burden. Conventional scoring systems offer modest...
Middle Aged Risk Assessment Genotype Risk Factors Predictive Value of Tests Humans Models, Genetic Aged Genetic Testing Machine Learning Adult Cardiomyopathy, Hypertrophic Female Male
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