AIMC Topic: ROC Curve

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Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry.

European heart journal Jan 14, 2020
AIMS: Symptom-based pretest probability scores that estimate the likelihood of obstructive coronary artery disease (CAD) in stable chest pain have moderate accuracy. We sought to develop a machine learning (ML) model, utilizing clinical factors and t...
Registries Coronary Artery Disease Calcium Coronary Vessels ROC Curve Predictive Value of Tests Coronary Angiography Multidetector Computed Tomography Computed Tomography Angiography Humans Machine Learning Prospective Studies Female Male Middle Aged
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Development of an Artificial Intelligence Model to Identify a Dental Implant from a Radiograph.

The International journal of oral & maxillofacial implants Jan 1, 2020
PURPOSE: The objective of this study was to develop a deep convolutional neural network (CNN) that would identify the brand and model of a dental implant from a radiograph.
Deep Learning Neural Networks, Computer ROC Curve Artificial Intelligence Radiography Dental Implants
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Predicting Peritoneal Metastasis of Gastric Cancer Patients Based on Machine Learning.

Cancer control : journal of the Moffitt Cancer Center Jan 1, 2020
OBJECTIVE: The aim is to explore the prediction effect of 5 machine learning algorithms on peritoneal metastasis of gastric cancer.
ROC Curve Logistic Models Treatment Outcome Neoplasm Recurrence, Local Gastrectomy Peritoneal Neoplasms Stomach Male Middle Aged Risk Assessment Female Incidence Humans Aged Machine Learning Stomach Neoplasms Retrospective Studies
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VacPred: Sequence-based prediction of plant vacuole proteins using machine-learning techniques.

Journal of biosciences Jan 1, 2020
Subcellular localization prediction of the proteome is one of major goals of large-scale genome or proteome sequencing projects to define the gene functions that could be possible with the help of computational modeling techniques. Previously, differ...
Plant Proteins Proteome Plant Cells Software Support Vector Machine Viridiplantae ROC Curve Databases, Protein Vacuoles Computational Biology Datasets as Topic
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EHAI: Enhanced Human Microbe-Disease Association Identification.

Current protein & peptide science Jan 1, 2020
Recently, an increasing number of biological and clinical reports have demonstrated that imbalance of microbial community has the ability to play important roles among several complex diseases concerning human health. Having a good knowledge of disco...
Microbiota Datasets as Topic Humans ROC Curve Machine Learning Genetic Association Studies Databases, Factual Models, Statistical Colorectal Neoplasms
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Positive Predictive Value Surfaces as a Complementary Tool to Assess the Performance of Virtual Screening Methods.

Mini reviews in medicinal chemistry Jan 1, 2020
BACKGROUND: Since their introduction in the virtual screening field, Receiver Operating Characteristic (ROC) curve-derived metrics have been widely used for benchmarking of computational methods and algorithms intended for virtual screening applicati...
Trypanosoma ROC Curve Area Under Curve Seizures Anticonvulsants Protozoan Proteins Machine Learning Quantitative Structure-Activity Relationship Animals 4-Aminobutyrate Transaminase
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Keratinocytic Skin Cancer Detection on the Face Using Region-Based Convolutional Neural Network.

JAMA dermatology Jan 1, 2020
IMPORTANCE: Detection of cutaneous cancer on the face using deep-learning algorithms has been challenging because various anatomic structures create curves and shades that confuse the algorithm and can potentially lead to false-positive results.
Female Skin Neoplasms Carcinoma, Basal Cell Carcinoma, Squamous Cell Humans Neural Networks, Computer ROC Curve Image Processing, Computer-Assisted Skin Keratinocytes Aged Adult Male Middle Aged Datasets as Topic Face Photography
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Addressing the Credit Assignment Problem in Treatment Outcome Prediction using Temporal Difference Learning.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2020
Mental health patients often undergo a variety of treatments before finding an effective one. Improved prediction of treatment response can shorten the duration of trials. A key challenge of applying predictive modeling to this problem is that often ...
Treatment Outcome Humans Machine Learning ROC Curve Computational Biology
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Natural Language Processing for the Identification of Surgical Site Infections in Orthopaedics.

The Journal of bone and joint surgery. American volume Dec 18, 2019
BACKGROUND: The identification of surgical site infections for infection surveillance in hospitals depends on the manual abstraction of medical records and, for research purposes, depends mainly on the use of administrative or claims data. The object...
Adult Orthopedic Procedures Humans Male Predictive Value of Tests Female Algorithms Natural Language Processing Middle Aged Aged Surgical Wound Infection ROC Curve Young Adult
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[Assistant diagnose for subclinical keratoconus by artificial intelligence].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology Dec 11, 2019
To investigate the diagnosis of normal cornea, subclinical keratoconus and keratoconus by artifical intelligence. Diagnostic study. From January 2016 to January 2019, who admitted to Tianjin Eye Hospital from 18 to 48 years old, with an average of ...
Adolescent Adult Humans Corneal Topography ROC Curve Sensitivity and Specificity Cornea Keratoconus Artificial Intelligence Corneal Pachymetry Middle Aged Young Adult
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