AIMC Topic: Machine Learning

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The role of public challenges and data sets towards algorithm development, trust, and use in clinical practice.

Seminars in cutaneous medicine and surgery Mar 1, 2019
In the past decade, machine learning and artificial intelligence have made significant advancements in pattern analysis, including speech and natural language processing, image recognition, object detection, facial recognition, and action categorizat...
Artificial Intelligence Machine Learning Algorithms Humans Benchmarking Dermatology
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Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions.

JAMA network open Mar 1, 2019
IMPORTANCE: Current approaches to identifying individuals at high risk for opioid overdose target many patients who are not truly at high risk.
Prescriptions Risk Assessment Cohort Studies United States Drug Overdose Medical Informatics Applications Analgesics, Opioid Medicare Aged, 80 and over Male Middle Aged Algorithms Female Humans Aged Machine Learning
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Assessment of Machine Learning vs Standard Prediction Rules for Predicting Hospital Readmissions.

JAMA network open Mar 1, 2019
IMPORTANCE: Hospital readmissions are associated with patient harm and expense. Ways to prevent hospital readmissions have focused on identifying patients at greatest risk using prediction scores.
Research Design Prognosis Female Risk Factors Humans Machine Learning Risk Assessment Length of Stay United States Medicare Hospitalization Male Middle Aged Patient Readmission Maryland
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CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture.

Sensors (Basel, Switzerland) Mar 1, 2019
Intelligence has been considered as the major challenge in promoting economic potential and production efficiency of precision agriculture. In order to apply advanced deep-learning technology to complete various agricultural tasks in online and offli...
Agriculture Machine Learning Neural Networks, Computer Algorithms Deep Learning
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RPITER: A Hierarchical Deep Learning Framework for ncRNA⁻Protein Interaction Prediction.

International journal of molecular sciences Mar 1, 2019
Non-coding RNAs (ncRNAs) play crucial roles in multiple fundamental biological processes, such as post-transcriptional gene regulation, and are implicated in many complex human diseases. Mostly ncRNAs function by interacting with corresponding RNA-bi...
RNA, Long Noncoding Sequence Analysis, Protein Humans Machine Learning Protein Binding Sequence Analysis, RNA Software Animals
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Automated detection of koalas using low-level aerial surveillance and machine learning.

Scientific reports Mar 1, 2019
Effective wildlife management relies on the accurate and precise detection of individual animals. These can be challenging data to collect for many cryptic species, particularly those that live in complex structural environments. This study introduce...
Algorithms Animals Probability Surveys and Questionnaires Automation Remote Sensing Technology Machine Learning Image Processing, Computer-Assisted Pattern Recognition, Automated Aircraft Phascolarctidae Weather
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Deep learning for predicting toxicity of chemicals: a mini review.

Journal of environmental science and health. Part C, Environmental carcinogenesis & ecotoxicology reviews Mar 1, 2019
Humans and wildlife inhabit a world with panoply of natural and synthetic chemicals. Alarmingly, only a limited number of chemicals have undergone comprehensive toxicological evaluation due to limitations of traditional toxicity testing. High-through...
High-Throughput Screening Assays Deep Learning Humans Quantitative Structure-Activity Relationship Models, Chemical Toxicity Tests Neural Networks, Computer Environmental Pollutants Machine Learning
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Classifying Biomedical Figures by Modality via Multi-Label Learning.

IEEE journal of biomedical and health informatics Feb 28, 2019
The figures found in biomedical literature are a vital part of biomedical research, education, and clinical decision. The multitude of their modalities and the lack of corresponding metadata constitute search and information, retrieval a difficult ta...
Algorithms Humans Information Storage and Retrieval Image Processing, Computer-Assisted Diagnostic Imaging Machine Learning Data Mining Image Interpretation, Computer-Assisted
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Bone texture analysis for prediction of incident radiographic hip osteoarthritis using machine learning: data from the Cohort Hip and Cohort Knee (CHECK) study.

Osteoarthritis and cartilage Feb 28, 2019
OBJECTIVE: To assess the ability of radiography-based bone texture variables in proximal femur and acetabulum to predict incident radiographic hip osteoarthritis (rHOA) over a 10 years period.
Femur Osteoarthritis, Hip Fractals Osteophyte Radiography Netherlands Arthroplasty, Replacement, Hip Body Mass Index Acetabulum Area Under Curve Humans Machine Learning Incidence Prospective Studies Female ROC Curve Cohort Studies Male Image Processing, Computer-Assisted Middle Aged
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Shape-Based Generative Modeling for de Novo Drug Design.

Journal of chemical information and modeling Feb 28, 2019
In this work, we propose a machine learning approach to generate novel molecules starting from a seed compound, its three-dimensional (3D) shape, and its pharmacophoric features. The pipeline draws inspiration from generative models used in image ana...
Drug Design Models, Molecular Machine Learning Molecular Conformation Molecular Structure Hydrogen Bonding Quantitative Structure-Activity Relationship Pharmaceutical Preparations Hydrophobic and Hydrophilic Interactions
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