AIMC Topic: Child, Preschool

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Multi-Modal Diagnosis of Infectious Diseases in the Developing World.

IEEE journal of biomedical and health informatics Jan 9, 2020
In low and middle income countries, infectious diseases continue to have a significant impact, particularly amongst the poorest in society. Tetanus and hand foot and mouth disease (HFMD) are two such diseases and, in both, death is associated with au...
Diagnosis, Computer-Assisted Deep Learning Wearable Electronic Devices Child, Preschool Photoplethysmography Humans Algorithms Communicable Diseases Adult Infant Tetanus Vital Signs Hand, Foot and Mouth Disease Electrocardiography Monitoring, Physiologic Models, Statistical Developing Countries
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Automatic classification of gait patterns in children with cerebral palsy using fuzzy clustering method.

Clinical biomechanics (Bristol, Avon) Jan 7, 2020
BACKGROUND: Subjective classification of gait pattern in children with cerebral palsy depends on the assessor's experience, while mathematical methods produce virtual groups with no clinical interpretation.
Child Fuzzy Logic Cluster Analysis Cerebral Palsy Gait Analysis Biomechanical Phenomena Male Adolescent Child, Preschool Humans Algorithms Retrospective Studies Female
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A practical model for the identification of congenital cataracts using machine learning.

EBioMedicine Jan 3, 2020
BACKGROUND: Approximately 1 in 33 newborns is affected by congenital anomalies worldwide. We aimed to develop a practical model for identifying infants with a high risk of congenital cataracts (CCs), which is the leading cause of avoidable childhood ...
Cataract Models, Biological Inheritance Patterns Algorithms Female Reproducibility of Results Male Humans Risk Factors Case-Control Studies Machine Learning Child, Preschool ROC Curve Area Under Curve
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A Convolutional Neural Network for Real Time Classification, Identification, and Labelling of Vocal Cord and Tracheal Using Laryngoscopy and Bronchoscopy Video.

Journal of medical systems Jan 2, 2020
BACKGROUND: The use of artificial intelligence, including machine learning, is increasing in medicine. Use of machine learning is rising in the prediction of patient outcomes. Machine learning may also be able to enhance and augment anesthesia clinic...
Neural Networks, Computer Machine Learning Algorithms Female Young Adult Humans Child Bronchoscopy Trachea Vocal Cords Sensitivity and Specificity Laryngoscopy Male Infant Adolescent Child, Preschool
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A quite sensitive fluorescent loop-mediated isothermal amplification for rapid detection of respiratory syncytial virus.

Journal of infection in developing countries Dec 31, 2019
INTRODUCTION: Human respiratory syncytial virus (hRSV) is a common respiratory virus closely related to respiratory tract infection (RTI). Rapid and accurate detection of hRSV is urgently needed to reduce the high morbidity and mortality due to hRSV ...
Respiratory Tract Infections Reverse Transcription Child, Preschool Molecular Diagnostic Techniques Nucleic Acid Amplification Techniques Humans Respiratory Syncytial Virus Infections Sensitivity and Specificity Respiratory Syncytial Virus, Human Infant China
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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 Male Infant Adolescent Health Care Surveys Socioeconomic Factors Patient Acceptance of Health Care Child, Preschool Triage Natural Language Processing Child Radiography Logistic Models Emergency Service, Hospital United States
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Bone age determination using only the index finger: a novel approach using a convolutional neural network compared with human radiologists.

Pediatric radiology Dec 20, 2019
BACKGROUND: Recently developed convolutional neural network (CNN) models determine bone age more accurately than radiologists.
Finger Phalanges Humans Child Neural Networks, Computer Image Processing, Computer-Assisted Retrospective Studies Female Datasets as Topic Age Determination by Skeleton Male Infant Adolescent Child, Preschool
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A Multi-Criteria Decision-Making Model for Evaluating Senior Daycare Center Locations.

International journal of environmental research and public health Dec 10, 2019
Many developed and developing countries are facing an imminent population aging and rapid demographics changing problem. The need of various kinds of eldercare is increasing tremendously. A senior daycare center, very similar to a daycare center for ...
Aged Child, Preschool Fuzzy Logic Decision Making Child Day Care Centers Humans Algorithms Decision Support Techniques Prospective Studies
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Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery.

Epilepsia Nov 29, 2019
OBJECTIVE: Delay to resective epilepsy surgery results in avoidable disease burden and increased risk of mortality. The objective was to prospectively validate a natural language processing (NLP) application that uses provider notes to assign epileps...
Humans Machine Learning Adolescent Prospective Studies Child, Preschool Epilepsy Electronic Health Records Child Patient Selection Female Adult Decision Support Systems, Clinical Infant, Newborn Natural Language Processing Male Young Adult Middle Aged Infant
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Histopathology-guided mass spectrometry differentiates benign nevi from malignant melanoma.

Journal of cutaneous pathology Nov 27, 2019
PURPOSE: Distinguishing benign nevi from malignant melanoma using current histopathological criteria may be very challenging and is one the most difficult areas in dermatopathology. The goal of this study was to identify proteomic differences, which ...
Diagnosis, Differential Melanoma, Cutaneous Malignant Nevus Adolescent Child, Preschool Child Proteomics Mass Spectrometry Young Adult Adult Male Female Middle Aged Melanoma Humans Skin Neoplasms Machine Learning Aged Aged, 80 and over
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