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cnnAlpha: Protein disordered regions prediction by reduced amino acid alphabets and convolutional neural networks.

Proteins Aug 7, 2020
Intrinsically disordered regions (IDR) play an important role in key biological processes and are closely related to human diseases. IDRs have great potential to serve as targets for drug discovery, most notably in disordered binding regions. Accurat...
Humans Neural Networks, Computer Machine Learning ROC Curve Data Mining Datasets as Topic Intrinsically Disordered Proteins Sequence Analysis, Protein Multifactor Dimensionality Reduction Computational Biology Area Under Curve Benchmarking Amino Acid Sequence
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Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram.

Nature communications Aug 7, 2020
Prompt identification of acute coronary syndrome is a challenge in clinical practice. The 12-lead electrocardiogram (ECG) is readily available during initial patient evaluation, but current rule-based interpretation approaches lack sufficient accurac...
Female Male Middle Aged Hospitals Acute Coronary Syndrome Humans ROC Curve Databases as Topic Electrocardiography Machine Learning Reference Standards Algorithms
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Accurate detection of spontaneous seizures using a generalized linear model with external validation.

Epilepsia Aug 6, 2020
OBJECTIVE: Seizure detection is a major facet of electroencephalography (EEG) analysis in neurocritical care, epilepsy diagnosis and management, and the instantiation of novel therapies such as closed-loop stimulation or optogenetic control of seizur...
Seizures Signal Processing, Computer-Assisted Linear Models Epilepsies, Partial Rats Excitatory Amino Acid Agonists Disease Models, Animal Electrocorticography Machine Learning Area Under Curve Kainic Acid Reproducibility of Results Electroencephalography Animals ROC Curve
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Development and validation of prognosis model of mortality risk in patients with COVID-19.

Epidemiology and infection Aug 4, 2020
This study aimed to identify clinical features for prognosing mortality risk using machine-learning methods in patients with coronavirus disease 2019 (COVID-19). A retrospective study of the inpatients with COVID-19 admitted from 15 January to 15 Mar...
Pandemics COVID-19 Prognosis Retrospective Studies Female Humans Machine Learning China Adolescent ROC Curve Logistic Models Coronavirus Infections Pneumonia, Viral Adult Male Middle Aged Reproducibility of Results Risk Assessment Hospitalization Aged Young Adult
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Internal and External Validation of a Machine Learning Risk Score for Acute Kidney Injury.

JAMA network open Aug 3, 2020
IMPORTANCE: Acute kidney injury (AKI) is associated with increased morbidity and mortality in hospitalized patients. Current methods to identify patients at high risk of AKI are limited, and few prediction models have been externally validated.
Humans Machine Learning Retrospective Studies Risk Factors Aged Aged, 80 and over Acute Kidney Injury Female Adult ROC Curve Male Middle Aged Models, Statistical Risk Assessment
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Computational discrimination between natural images based on gaze during mental imagery.

Scientific reports Aug 3, 2020
When retrieving image from memory, humans usually move their eyes spontaneously as if the image were in front of them. Such eye movements correlate strongly with the spatial layout of the recalled image content and function as memory cues facilitatin...
ROC Curve Area Under Curve Photic Stimulation Mental Recall Female Adult Male Eye Movements Imagery, Psychotherapy Fixation, Ocular Humans Neural Networks, Computer
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Robust Estimation of Breast Cancer Incidence Risk in Presence of Incomplete or Inaccurate Information.

Asian Pacific journal of cancer prevention : APJCP Aug 1, 2020
PURPOSE: To evaluate the robustness of multiple machine learning classifiers for breast cancer risk estimation in the presence of incomplete or inaccurate information.
Data Interpretation, Statistical Neural Networks, Computer Machine Learning Incidence Aged, 80 and over Humans ROC Curve Prognosis Adult Breast Neoplasms Female United States Middle Aged Aged Follow-Up Studies
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Multi-view secondary input collaborative deep learning for lung nodule 3D segmentation.

Cancer imaging : the official publication of the International Cancer Imaging Society Aug 1, 2020
BACKGROUND: Convolutional neural networks (CNNs) have been extensively applied to two-dimensional (2D) medical image segmentation, yielding excellent performance. However, their application to three-dimensional (3D) nodule segmentation remains a chal...
Multiple Pulmonary Nodules Humans Deep Learning ROC Curve Neural Networks, Computer Imaging, Three-Dimensional Tomography, X-Ray Computed Image Processing, Computer-Assisted
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Explainable artificial intelligence model to predict acute critical illness from electronic health records.

Nature communications Jul 31, 2020
Acute critical illness is often preceded by deterioration of routinely measured clinical parameters, e.g., blood pressure and heart rate. Early clinical prediction is typically based on manually calculated screening metrics that simply weigh these pa...
Blood Pressure Critical Illness Area Under Curve Humans Electronic Health Records Early Diagnosis Acute Disease Artificial Intelligence Sepsis Acute Lung Injury Heart Rate Prognosis ROC Curve Acute Kidney Injury
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Prediction of the development of acute kidney injury following cardiac surgery by machine learning.

Critical care (London, England) Jul 31, 2020
BACKGROUND: Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication that results in increased morbidity and mortality after cardiac surgery. Most established prediction models are limited to the analysis of nonlinear relation...
Male Middle Aged Risk Assessment Postoperative Complications ROC Curve Humans Acute Kidney Injury Models, Statistical Machine Learning Female Cardiac Surgical Procedures Retrospective Studies Reproducibility of Results Aged
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