AIMC Topic: ROC Curve

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Prediction of implementing ISO 14031 guidelines using a multilayer perceptron neural network approach.

PloS one Jan 6, 2021
The purpose of this study was to model the link between the implementation of ISO 14031 and ISO 14001. This study connects ISO 14031's guidelines as independent variables to a dependent variable expressed by the ISO 14001 certification situation of i...
Neural Networks, Computer Organizations ROC Curve Area Under Curve Guidelines as Topic
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Shedding Light on the Black Box: Explaining Deep Neural Network Prediction of Clinical Outcomes.

Journal of medical systems Jan 4, 2021
Deep neural network models are emerging as an important method in healthcare delivery, following the recent success in other domains such as image recognition. Due to the multiple non-linear inner transformations, deep neural networks are viewed by m...
Humans Algorithms Neural Networks, Computer ROC Curve Logistic Models
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Fully end-to-end deep-learning-based diagnosis of pancreatic tumors.

Theranostics Jan 1, 2021
Artificial intelligence can facilitate clinical decision making by considering massive amounts of medical imaging data. Various algorithms have been implemented for different clinical applications. Accurate diagnosis and treatment require reliable an...
Image Processing, Computer-Assisted Humans Pancreatic Neoplasms Algorithms Carcinoma, Pancreatic Ductal Tomography, X-Ray Computed Male Middle Aged Female Deep Learning Aged ROC Curve Aged, 80 and over Adult
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Predicting self-harm within six months after initial presentation to youth mental health services: A machine learning study.

PloS one Dec 31, 2020
BACKGROUND: A priority for health services is to reduce self-harm in young people. Predicting self-harm is challenging due to their rarity and complexity, however this does not preclude the utility of prediction models to improve decision-making rega...
Bipolar Disorder Adult Child Humans Area Under Curve Male ROC Curve Machine Learning Psychotic Disorders Adolescent Mental Health Services Female Antipsychotic Agents Suicidal Ideation Self-Injurious Behavior Young Adult
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LASSO-Based Machine Learning Algorithm for Prediction of Lymph Node Metastasis in T1 Colorectal Cancer.

Cancer research and treatment Dec 29, 2020
PURPOSE: The role of tumor-infiltrating lymphocytes (TILs) in predicting lymph node metastasis (LNM) in patients with T1 colorectal cancer (CRC) remains unclear. Furthermore, clinical utility of a machine learning-based approach has not been widely s...
Retrospective Studies Lymphocytes, Tumor-Infiltrating Male Female Lymphatic Metastasis Risk Assessment Aged Humans Neoplasm Staging ROC Curve Colorectal Neoplasms Machine Learning Immunohistochemistry Lymph Nodes Prospective Studies Prognosis
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Assessing Glaucoma Progression Using Machine Learning Trained on Longitudinal Visual Field and Clinical Data.

Ophthalmology Dec 25, 2020
PURPOSE: Rule-based approaches to determining glaucoma progression from visual fields (VFs) alone are discordant and have tradeoffs. To detect better when glaucoma progression is occurring, we used a longitudinal data set of merged VF and clinical da...
Glaucoma, Open-Angle Machine Learning ROC Curve Algorithms Follow-Up Studies Male Retrospective Studies Visual Fields Disease Progression Humans Aged Female Ophthalmologists Clinical Competence Glaucoma Intraocular Pressure
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Machine Learning Algorithms Predict Clinically Significant Improvements in Satisfaction After Hip Arthroscopy.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association Dec 24, 2020
PURPOSE: To develop machine learning algorithms to predict failure to achieve clinically significant satisfaction after hip arthroscopy.
Risk Hip Patient Satisfaction Calibration Arthroscopy Postoperative Period Algorithms Female Young Adult Adult Male Case-Control Studies ROC Curve Treatment Outcome Humans Neural Networks, Computer Machine Learning
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Assessing the risk of dengue severity using demographic information and laboratory test results with machine learning.

PLoS neglected tropical diseases Dec 23, 2020
BACKGROUND: Dengue virus causes a wide spectrum of disease, which ranges from subclinical disease to severe dengue shock syndrome. However, estimating the risk of severe outcomes using clinical presentation or laboratory test results for rapid patien...
Humans Neural Networks, Computer Machine Learning Demography Prognosis Middle Aged Dengue Female ROC Curve Risk Factors Logistic Models Male Diagnostic Tests, Routine
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Predicting the Development of Surgery-Related Pressure Injury Using a Machine Learning Algorithm Model.

The journal of nursing research : JNR Dec 21, 2020
BACKGROUND: Surgery-related pressure injury (SRPI) is a serious problem in patients who undergo cardiovascular surgery. Identifying patients at a high risk of SRPI is important for clinicians to recognize and prevent it expeditiously. Machine learnin...
Humans Machine Learning Aged Adult Male Middle Aged Algorithms Prospective Studies Female Risk Factors Pressure Ulcer Child, Preschool Child ROC Curve Cardiac Surgical Procedures Risk Assessment Postoperative Complications Adolescent Cohort Studies
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RAM-PGK: Prediction of Lysine Phosphoglycerylation Based on Residue Adjacency Matrix.

Genes Dec 20, 2020
BACKGROUND: Post-translational modification (PTM) is a biological process that is associated with the modification of proteome, which results in the alteration of normal cell biology and pathogenesis. There have been numerous PTM reports in recent ye...
Glyceric Acids Protein Processing, Post-Translational Amino Acid Sequence Datasets as Topic Lysine Software Algorithms ROC Curve Support Vector Machine
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