AIMC Topic:
ROC Curve
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Using the Super Learner algorithm to predict risk of 30-day readmission after bariatric surgery in the United States.
Surgery
Jul 31, 2021
BACKGROUND: Risk prediction models that estimate patient probabilities of adverse events are commonly deployed in bariatric surgery. The objective was to validate a machine learning (Super Learner) prediction model of 30-day readmission after bariatr...
Multimodal Machine Learning Using Visual Fields and Peripapillary Circular OCT Scans in Detection of Glaucomatous Optic Neuropathy.
Ophthalmology
Jul 30, 2021
PURPOSE: To develop and validate a multimodal artificial intelligence algorithm, FusionNet, using the pattern deviation probability plots from visual field (VF) reports and circular peripapillary OCT scans to detect glaucomatous optic neuropathy (GON...
Algorithms
Female
Aged
Adult
Cross-Sectional Studies
Intraocular Pressure
Male
Middle Aged
Humans
Machine Learning
Visual Field Tests
Optic Nerve Diseases
Glaucoma, Open-Angle
Tomography, Optical Coherence
Nerve Fibers
Retinal Ganglion Cells
Visual Fields
ROC Curve
Vision Disorders
Multimodal Imaging
Area Under Curve
Co-AMPpred for in silico-aided predictions of antimicrobial peptides by integrating composition-based features.
BMC bioinformatics
Jul 30, 2021
BACKGROUND: Antimicrobial peptides (AMPs) are oligopeptides that act as crucial components of innate immunity, naturally occur in all multicellular organisms, and are involved in the first line of defense function. Recent studies showed that AMPs per...
Detecting suicidal risk using MMPI-2 based on machine learning algorithm.
Scientific reports
Jul 28, 2021
Minnesota Multiphasic Personality Inventory-2 (MMPI-2) is a widely used tool for early detection of psychological maladjustment and assessing the level of adaptation for a large group in clinical settings, schools, and corporations. This study aims t...
Machine learning predicts treatment sensitivity in multiple myeloma based on molecular and clinical information coupled with drug response.
PloS one
Jul 28, 2021
Providing treatment sensitivity stratification at the time of cancer diagnosis allows better allocation of patients to alternative treatment options. Despite many clinical and biological risk markers having been associated with variable survival in c...
A Multitask Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multicenter Analysis.
Diabetes care
Jul 27, 2021
OBJECTIVE: Diabetic macular edema (DME) is the primary cause of vision loss among individuals with diabetes mellitus (DM). We developed, validated, and tested a deep learning (DL) system for classifying DME using images from three common commercially...
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study.
IEEE journal of biomedical and health informatics
Jul 27, 2021
OBJECTIVE: Coronavirus disease 2019 (COVID-19) has caused considerable morbidity and mortality, especially in patients with underlying health conditions. A precise prognostic tool to identify poor outcomes among such cases is desperately needed.
Diagnosis of retinal disorders from Optical Coherence Tomography images using CNN.
PloS one
Jul 27, 2021
An efficient automatic decision support system for detection of retinal disorders is important and is the need of the hour. Optical Coherence Tomography (OCT) is the current imaging modality for the early detection of retinal disorders non-invasively...
How far spatial resolution affects the ensemble machine learning based flood susceptibility prediction in data sparse region.
Journal of environmental management
Jul 26, 2021
Although the effect of digital elevation model (DEM) and its spatial resolution on flood simulation modeling has been well studied, the effect of coarse and finer resolution image and DEM data on machine learning ensemble flood susceptibility predict...
Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets.
Scientific reports
Jul 23, 2021
COVID-19 outbreak brings intense pressure on healthcare systems, with an urgent demand for effective diagnostic, prognostic and therapeutic procedures. Here, we employed Automated Machine Learning (AutoML) to analyze three publicly available high thr...
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