AIMC Topic: Prognosis

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Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Blood infection due to different circumstances could immediately develop to an extreme body reaction that leads to a serious life-threatening condition, called Sepsis. Currently, therapeutic protocols through timely antibiotic resuscitation strategie...
Humans Neural Networks, Computer Prognosis Heart Rate Sepsis Child Early Diagnosis Intensive Care Units, Pediatric
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Predicting complications of diabetes mellitus using advanced machine learning algorithms.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2020
OBJECTIVE: We sought to predict if patients with type 2 diabetes mellitus (DM2) would develop 10 selected complications. Accurate prediction of complications could help with more targeted measures that would prevent or slow down their development.
Algorithms Prognosis Risk Assessment Deep Learning Diabetes Mellitus, Type 2 Decision Trees Humans Diabetes Complications Neural Networks, Computer
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Imputing missing RNA-sequencing data from DNA methylation by using a transfer learning-based neural network.

GigaScience Jul 1, 2020
BACKGROUND: Gene expression plays a key intermediate role in linking molecular features at the DNA level and phenotype. However, owing to various limitations in experiments, the RNA-seq data are missing in many samples while there exist high-quality ...
Computational Biology Epigenesis, Genetic Epigenomics DNA Methylation High-Throughput Nucleotide Sequencing CpG Islands Gene Expression Regulation Algorithms Prognosis Reproducibility of Results Neoplasms Humans Neural Networks, Computer Machine Learning
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Dr. Agent: Clinical predictive model via mimicked second opinions.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2020
OBJECTIVE: Prediction of disease phenotypes and their outcomes is a difficult task. In practice, patients routinely seek second opinions from multiple clinical experts for complex disease diagnosis. Our objective is to mimic such a practice of seekin...
Prognosis Disease Progression Deep Learning Length of Stay Humans Neural Networks, Computer Computer Simulation Hospital Mortality Logistic Models Referral and Consultation
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Unsupervised machine learning and prognostic factors of survival in chronic lymphocytic leukemia.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2020
OBJECTIVE: Unsupervised machine learning approaches hold promise for large-scale clinical data. However, the heterogeneity of clinical data raises new methodological challenges in feature selection, choosing a distance metric that captures biological...
Humans Prognosis Female Aged Proportional Hazards Models Kaplan-Meier Estimate ZAP-70 Protein-Tyrosine Kinase Immunoglobulin Heavy Chains Male Middle Aged Unsupervised Machine Learning Mutation Aged, 80 and over Adult Leukemia, Lymphocytic, Chronic, B-Cell
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Characterization of Drusen and Hyperreflective Foci as Biomarkers for Disease Progression in Age-Related Macular Degeneration Using Artificial Intelligence in Optical Coherence Tomography.

JAMA ophthalmology Jul 1, 2020
IMPORTANCE: The morphologic changes and their pathognomonic distribution in progressing age-related macular degeneration (AMD) are not well understood.
Male Disease Progression Angiogenesis Inhibitors Humans Follow-Up Studies Female Artificial Intelligence Intravitreal Injections Prognosis Fluorescein Angiography Aged Tomography, Optical Coherence Ranibizumab Aged, 80 and over Fundus Oculi Retinal Drusen Retina Macular Degeneration
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Spinal Stenosis Grading in Magnetic Resonance Imaging Using Deep Convolutional Neural Networks.

Spine Jun 15, 2020
STUDY DESIGN: Retrospective magnetic resonance imaging grading with comparison between experts and deep convolutional neural networks (CNNs).
Prognosis Retrospective Studies Magnetic Resonance Imaging Spinal Stenosis Humans Neural Networks, Computer
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Deep-Learning-Based Characterization of Tumor-Infiltrating Lymphocytes in Breast Cancers From Histopathology Images and Multiomics Data.

JCO clinical cancer informatics May 1, 2020
PURPOSE: Tumor-infiltrating lymphocytes (TILs) and their spatial characterizations on whole-slide images (WSIs) of histopathology sections have become crucial in diagnosis, prognosis, and treatment response prediction for different cancers. However, ...
Humans Prognosis Female Deep Learning Breast Neoplasms Lymphocytes, Tumor-Infiltrating Receptor, ErbB-2
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Automated interpretation of the coronary angioscopy with deep convolutional neural networks.

Open heart May 1, 2020
BACKGROUND: Coronary angioscopy (CAS) is a useful modality to assess atherosclerotic changes, but interpretation of the images requires expert knowledge. Deep convolutional neural networks (DCNN) can be used for diagnostic prediction and image synthe...
Coronary Vessels Angioscopy Predictive Value of Tests Coronary Artery Disease Image Interpretation, Computer-Assisted Humans Prognosis Reproducibility of Results Deep Learning
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EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning.

Journal of the American Medical Informatics Association : JAMIA May 1, 2020
OBJECTIVE: Predicting patient outcomes using healthcare/genomics data is an increasingly popular/important area. However, some diseases are rare and require data from multiple institutions to construct generalizable models. To address institutional d...
Length of Stay Computer Security Decision Support Systems, Clinical Logistic Models Humans Delivery of Health Care Computer Communication Networks Area Under Curve Genomics Machine Learning Prognosis Blockchain Decision Support Systems, Management Algorithms Female Datasets as Topic Male
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