AIMC Topic: Research Design

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Method for Training Convolutional Neural Networks for In Situ Plankton Image Recognition and Classification Based on the Mechanisms of the Human Eye.

Sensors (Basel, Switzerland) May 2, 2020
In this study, we propose a method for training convolutional neural networks to make them identify and classify images with higher classification accuracy. By combining the Cartesian and polar coordinate systems when describing the images, the metho...
Deep Learning Support Vector Machine Plankton Machine Learning Research Design Neural Networks, Computer
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Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys.

PloS one Apr 22, 2020
Modern survey methods may be subject to non-observable bias, from various sources. Among online surveys, for example, selection bias is prevalent, due to the sampling mechanism commonly used, whereby participants self-select from a subgroup whose cha...
Algorithms Humans Selection Bias Research Design Machine Learning Data Interpretation, Statistical Surveys and Questionnaires Computer Simulation Propensity Score Logistic Models
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AI for reading screening mammograms: the need for circumspection.

European radiology Apr 21, 2020
• The studies on AI reading of screening mammograms have methodological limitations that undermine the conclusion that AI could do better than radiologists. • These studies do not informon numbers of extra breast cancers found by AI that could repres...
Artificial Intelligence Research Design Mammography Breast Neoplasms Radiologists Clinical Competence Reading Humans Female Mass Screening Early Detection of Cancer
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Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies.

BMJ (Clinical research ed.) Mar 25, 2020
OBJECTIVE: To systematically examine the design, reporting standards, risk of bias, and claims of studies comparing the performance of diagnostic deep learning algorithms for medical imaging with that of expert clinicians.
Algorithms Research Design Humans Bias Image Processing, Computer-Assisted Randomized Controlled Trials as Topic Physicians Deep Learning Diagnostic Imaging
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Reporting quality of studies using machine learning models for medical diagnosis: a systematic review.

BMJ open Mar 23, 2020
AIMS: We conducted a systematic review assessing the reporting quality of studies validating models based on machine learning (ML) for clinical diagnosis, with a specific focus on the reporting of information concerning the participants on which the ...
Humans Machine Learning Computer Simulation Diagnosis, Computer-Assisted Research Design
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Energy-based graph convolutional networks for scoring protein docking models.

Proteins Mar 16, 2020
Structural information about protein-protein interactions, often missing at the interactome scale, is important for mechanistic understanding of cells and rational discovery of therapeutics. Protein docking provides a computational alternative for su...
Thermodynamics Computer Graphics Protein Interaction Mapping Ligands Binding Sites Structural Homology, Protein Protein Conformation, alpha-Helical Protein Conformation, beta-Strand Protein Multimerization Protein Interaction Domains and Motifs Deep Learning Protein Binding Benchmarking Amino Acid Sequence Proteins Research Design Peptides Molecular Docking Simulation Humans Software
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A water quality prediction method based on the multi-time scale bidirectional long short-term memory network.

Environmental science and pollution research international Mar 6, 2020
As an important factor affecting the mangrove wetland ecosystem, water quality has become the focus of attention in recent years. Therefore, many studies have focused on the prediction of water quality to help establish a regulatory framework for the...
Ecosystem Water Quality Neural Networks, Computer Research Design
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Modeling and optimization of imidacloprid degradation by catalytic percarbonate oxidation using artificial neural network and Box-Behnken experimental design.

Chemosphere Feb 19, 2020
Due to its toxicity and persistence, pesticide pollution poses a serious threat to human health and the environment. Imidacloprid or IMD is an archetypal neonicotinoid insecticide commonly used to protect a variety of crops worldwide. The present stu...
Neural Networks, Computer Nitro Compounds Research Design Carbonates Models, Chemical Oxidants Oxidation-Reduction Neonicotinoids Catalysis
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Attention guided capsule networks for chemical-protein interaction extraction.

Journal of biomedical informatics Feb 15, 2020
The biomedical literature contains a sufficient number of chemical-protein interactions (CPIs). Automatic extraction of CPI is a crucial task in the biomedical domain, which has excellent benefits for precision medicine, drug discovery and basic biom...
Data Mining Attention Neural Networks, Computer Research Design Publications
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How Artificial Intelligence Can Transform Randomized Controlled Trials.

Translational vision science & technology Feb 12, 2020
Randomized Controlled Trials as Topic Artificial Intelligence Research Design
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