AIMC Topic: Female

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Finding warning markers: Leveraging natural language processing and machine learning technologies to detect risk of school violence.

International journal of medical informatics Apr 25, 2020
INTRODUCTION: School violence has a far-reaching effect, impacting the entire school population including staff, students and their families. Among youth attending the most violent schools, studies have reported higher dropout rates, poor school atte...
Risk Assessment Humans Students Machine Learning Surveys and Questionnaires Child Algorithms Adolescent Natural Language Processing Prospective Studies Violence Female Male
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Clinically Feasible and Accurate View Classification of Echocardiographic Images Using Deep Learning.

Biomolecules Apr 25, 2020
A proper echocardiographic study requires several video clips recorded from different acquisition angles for observation of the complex cardiac anatomy. However, these video clips are not necessarily labeled in a database. Identification of the acqui...
Middle Aged Deep Learning Image Processing, Computer-Assisted Female Humans Aged Male Echocardiography
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Preoperative assessment of lymph node metastasis in Colon Cancer patients using machine learning: a pilot study.

Cancer imaging : the official publication of the International Cancer Imaging Society Apr 25, 2020
BACKGROUND: Preoperative detection of lymph node (LN) metastasis is critical for planning treatments in colon cancer (CC). The clinical diagnostic criteria based on the size of the LNs are not sensitive to determine metastasis using CT images. In thi...
Aged Adult Sensitivity and Specificity Male Middle Aged Pilot Projects Lymphatic Metastasis Preoperative Period Colonic Neoplasms Machine Learning Retrospective Studies Tomography, X-Ray Computed Humans Female
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Prediction of Intracranial Aneurysm Risk using Machine Learning.

Scientific reports Apr 24, 2020
An efficient method for identifying subjects at high risk of an intracranial aneurysm (IA) is warranted to provide adequate radiological screening guidelines and effectively allocate medical resources. We developed a model for pre-diagnosis IA predic...
Male Middle Aged Incidence ROC Curve Humans Machine Learning Female Risk Factors Intracranial Aneurysm Area Under Curve Models, Biological Probability Databases as Topic
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Development of automatic measurement for patellar height based on deep learning and knee radiographs.

European radiology Apr 23, 2020
OBJECTIVES: To develop and evaluate the performance of a deep learning-based system for automatic patellar height measurements using knee radiographs.
Deep Learning Radiography Knee Joint Osteoarthritis, Knee Humans Young Adult Adult Algorithms Male Female Middle Aged Patella Aged Aged, 80 and over
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Modernization of bone age assessment: comparing the accuracy and reliability of an artificial intelligence algorithm and shorthand bone age to Greulich and Pyle.

Skeletal radiology Apr 23, 2020
UNLABELLED: Greulich and Pyle (GP) is one of the most common methods to determine bone age from hand radiographs. In recent years, new methods were developed to increase the efficiency in bone age analysis like the shorthand bone age (SBA) and automa...
Reproducibility of Results Male Radiography Humans Artificial Intelligence Female Age Determination by Skeleton Shorthand
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Artificial intelligence for early prediction of pulmonary hypertension using electrocardiography.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation Apr 23, 2020
BACKGROUND: Screening and early diagnosis of pulmonary hypertension (PH) are critical for managing progression and preventing associated mortality; however, there are no tools for this purpose. We developed and validated an artificial intelligence (A...
Middle Aged ROC Curve Electrocardiography Humans Follow-Up Studies Early Diagnosis Retrospective Studies Neural Networks, Computer Hypertension, Pulmonary Female Artificial Intelligence Aged Algorithms Male
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Ependymoma and pilocytic astrocytoma: Differentiation using radiomics approach based on machine learning.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Apr 23, 2020
Mandatory accurate and specific diagnosis demands have brought about increased challenges for radiologists in pediatric posterior fossa tumor prediction and prognosis. With the development of high-performance computing and machine learning technologi...
Child, Preschool Child Magnetic Resonance Imaging Diagnosis, Differential Image Interpretation, Computer-Assisted Astrocytoma Ependymoma Infratentorial Neoplasms Humans Infant, Newborn Machine Learning Male Female Infant Adolescent
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Emergency department disposition prediction using a deep neural network with integrated clinical narratives and structured data.

International journal of medical informatics Apr 23, 2020
BACKGROUND: Emergency department (ED) overcrowding has been a serious issue and demands effective clinical decision-making of patient disposition. In previous studies, emergency clinical narratives provide a rich context for clinical decisions. We ai...
Patient Discharge Aged Adult Male Middle Aged Retrospective Studies Narration Humans Natural Language Processing Clinical Decision-Making Cohort Studies Emergency Service, Hospital Neural Networks, Computer Female Taiwan Physicians Hospitalization
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A machine learning model for predicting risk of hospital readmission within 30 days of discharge: validated with LACE index and patient at risk of hospital readmission (PARR) model.

Medical & biological engineering & computing Apr 23, 2020
The objective of this study was to design and develop a predictive model for 30-day risk of hospital readmission using machine learning techniques. The proposed predictive model was then validated with the two most commonly used risk of readmission m...
Humans Machine Learning Databases, Factual New Zealand Patient Discharge Patient Readmission Male Middle Aged Adolescent Models, Theoretical Female Aged Young Adult Adult
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