AIMC Topic: Algorithms

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Machine Learning and Mechanistic Modeling for Prediction of Metastatic Relapse in Early-Stage Breast Cancer.

JCO clinical cancer informatics Mar 1, 2020
PURPOSE: For patients with early-stage breast cancer, predicting the risk of metastatic relapse is of crucial importance. Existing predictive models rely on agnostic survival analysis statistical tools (eg, Cox regression). Here we define and evaluat...
Tumor Burden Neoplasm Metastasis Predictive Value of Tests Neoplasm Staging Neoplasm Recurrence, Local Humans Machine Learning Young Adult Breast Neoplasms Algorithms Computer Simulation Adult Biomarkers, Tumor Female Aged Survival Rate Middle Aged Aged, 80 and over Age Factors
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Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis.

JCO clinical cancer informatics Mar 1, 2020
PURPOSE: Deep learning (DL), a class of approaches involving self-learned discriminative features, is increasingly being applied to digital pathology (DP) images for tasks such as disease identification and segmentation of tissue primitives (eg, nucl...
Telepathology Observer Variation Data Compression Pathology, Clinical Signal Processing, Computer-Assisted Humans Neoplasms Benchmarking Algorithms Deep Learning Quality Control ROC Curve Image Interpretation, Computer-Assisted
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Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care.

JCO clinical cancer informatics Mar 1, 2020
Big data for health care is one of the potential solutions to deal with the numerous challenges of health care, such as rising cost, aging population, precision medicine, universal health coverage, and the increase of noncommunicable diseases. Howeve...
Delivery of Health Care Databases, Factual Precision Medicine Electronic Health Records Data Management Privacy Data Mining Humans Machine Learning Algorithms
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Deep learning-based quantitative visualization and measurement of extraperitoneal hematoma volumes in patients with pelvic fractures: Potential role in personalized forecasting and decision support.

The journal of trauma and acute care surgery Mar 1, 2020
INTRODUCTION: Admission computed tomography (CT) is a widely used diagnostic tool for patients with pelvic fractures. In this pilot study, we hypothesized that pelvic hematoma volumes derived using a rapid automated deep learning-based quantitative v...
Hematoma Embolization, Therapeutic Endotamponade Deep Learning Pilot Projects Female Hospital Mortality Adult Decision Support Systems, Clinical Male Humans Pelvic Bones Middle Aged Algorithms Fractures, Bone Retrospective Studies Blood Transfusion
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medExtractR: A targeted, customizable approach to medication extraction from electronic health records.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2020
OBJECTIVE: We developed medExtractR, a natural language processing system to extract medication information from clinical notes. Using a targeted approach, medExtractR focuses on individual drugs to facilitate creation of medication-specific research...
Natural Language Processing Pharmaceutical Preparations Data Mining Programming Languages Datasets as Topic Drug Therapy Humans Software Algorithms Electronic Health Records
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Artificial intelligence: the future of urinary stone management?

Current opinion in urology Mar 1, 2020
PURPOSE OF REVIEW: To investigate the application of artificial intelligence in the management of nephrolithiasis.
Algorithms Prognosis Endoscopy Diagnosis, Computer-Assisted Humans Artificial Intelligence Urolithiasis Clinical Competence Nephrolithiasis Patient Selection Inventions
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A combined strategy of feature selection and machine learning to identify predictors of prediabetes.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2020
OBJECTIVE: To identify predictors of prediabetes using feature selection and machine learning on a nationally representative sample of the US population.
Risk Factors Adult Male Middle Aged Machine Learning Algorithms Female Models, Theoretical Socioeconomic Factors Area Under Curve Prediabetic State Prevalence ROC Curve Nutrition Surveys Humans
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Re: A Call for Deep-learning Healthcare.

Epidemiology (Cambridge, Mass.) Mar 1, 2020
Algorithms Delivery of Health Care Deep Learning
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Multiple-Image Deep Learning Analysis for Neuropathy Detection in Corneal Nerve Images.

Cornea Mar 1, 2020
PURPOSE: Automated classification of corneal confocal images from healthy subjects and diabetic subjects with neuropathy.
Deep Learning Microscopy, Confocal Reproducibility of Results Diabetic Neuropathies Humans Cornea Nerve Fibers Corneal Diseases Algorithms Male Ophthalmic Nerve Female Middle Aged
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iATC-NRAKEL: an efficient multi-label classifier for recognizing anatomical therapeutic chemical classes of drugs.

Bioinformatics (Oxford, England) Mar 1, 2020
MOTIVATION: The anatomical therapeutic chemical (ATC) classification system plays an increasingly important role in drug repositioning and discovery. The correct identification of classes in each level of such system that a given drug may belong to i...
Support Vector Machine Algorithms
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