AIMC Topic: Sensitivity and Specificity
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Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data.
NeuroImage
Jan 8, 2019
Performing quality control to detect image artifacts and data-processing errors is crucial in structural magnetic resonance imaging, especially in developmental studies. Currently, many studies rely on visual inspection by trained raters for quality ...
Feasibility of a Support Vector Machine Classifier for Myofascial Pain Syndrome: Diagnostic Case-Control Study.
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Jan 7, 2019
OBJECTIVES: Myofascial pain syndrome (MPS) is the most common cause of chronic pain worldwide. The diagnosis of MPS is subjective, which has created a need for a robust quantitative method of diagnosing MPS. We propose that using a support vector mac...
Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram.
Nature medicine
Jan 7, 2019
Asymptomatic left ventricular dysfunction (ALVD) is present in 3-6% of the general population, is associated with reduced quality of life and longevity, and is treatable when found. An inexpensive, noninvasive screening tool for ALVD in the doctor's ...
Artificial intelligence for the real-time classification of intrapapillary capillary loop patterns in the endoscopic diagnosis of early oesophageal squamous cell carcinoma: A proof-of-concept study.
United European gastroenterology journal
Jan 6, 2019
BACKGROUND: Intrapapillary capillary loops (IPCLs) represent an endoscopically visible feature of early squamous cell neoplasia (ESCN) which correlate with invasion depth - an important factor in the success of curative endoscopic therapy. IPCLs visu...
DeepSqueak: a deep learning-based system for detection and analysis of ultrasonic vocalizations.
Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Jan 4, 2019
Rodents engage in social communication through a rich repertoire of ultrasonic vocalizations (USVs). Recording and analysis of USVs has broad utility during diverse behavioral tests and can be performed noninvasively in almost any rodent behavioral m...
Rapid microarray-based assay for detection of pyrazinamide resistant Mycobacterium tuberculosis.
Diagnostic microbiology and infectious disease
Dec 30, 2018
Pyrazinamide (PZA) is a key antibiotic for the treatment of drug susceptible tuberculosis. PZA-resistance is mainly mediated by mutations in the pncA gene; however the current gold standard is a phenotypic drug susceptibility test requiring a well-ad...
Machine learning methodologies versus cardiovascular risk scores, in predicting disease risk.
BMC medical research methodology
Dec 29, 2018
BACKGROUND: The use of Cardiovascular Disease (CVD) risk estimation scores in primary prevention has long been established. However, their performance still remains a matter of concern. The aim of this study was to explore the potential of using ML m...
BP neural network prediction model for suicide attempt among Chinese rural residents.
Journal of affective disorders
Dec 27, 2018
OBJECTIVE: This study aimed to establish and assess the Back Propagation Neural Network (BPNN) prediction model for suicide attempt, so as to improve the individual prediction accuracy.
Impulsive Behavior
Self Concept
Asian People
Humans
Adaptation, Psychological
Neural Networks, Computer
Depressive Disorder
Suicide, Attempted
Adult
Female
Case-Control Studies
Adolescent
Sensitivity and Specificity
Risk Factors
China
Child
Male
Young Adult
Social Support
Logistic Models
Middle Aged
Surveys and Questionnaires
Rural Population
Diagnostic performance of an artificial neural network to predict excess body fat in children.
Pediatric obesity
Dec 27, 2018
BACKGROUND: Waist circumference (WC) and z scores of body mass index (BMI) are commonly used to predict childhood obesity, although BMI and WC have a limited sensitivity.
Integrating camera imagery, crowdsourcing, and deep learning to improve high-frequency automated monitoring of snow at continental-to-global scales.
PloS one
Dec 27, 2018
Snow is important for local to global climate and surface hydrology, but spatial and temporal heterogeneity in the extent of snow cover make accurate, fine-scale mapping and monitoring of snow an enormous challenge. We took 184,453 daily near-surface...
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