AIMC Topic: Research Design

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On kernel machine learning for propensity score estimation under complex confounding structures.

Pharmaceutical statistics Feb 22, 2021
Post marketing data offer rich information and cost-effective resources for physicians and policy-makers to address some critical scientific questions in clinical practice. However, the complex confounding structures (e.g., nonlinear and nonadditive ...
Computer Simulation Propensity Score Machine Learning Algorithms Research Design
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Combination of deep neural network with attention mechanism enhances the explainability of protein contact prediction.

Proteins Feb 16, 2021
Deep learning has emerged as a revolutionary technology for protein residue-residue contact prediction since the 2012 CASP10 competition. Considerable advancements in the predictive power of the deep learning-based contact predictions have been achie...
Software Research Design Deep Learning Humans Protein Conformation Binding Sites Sequence Analysis, Protein Protein Interaction Domains and Motifs Sequence Alignment Proteins Databases, Protein Benchmarking Protein Binding Computational Biology
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Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making.

BMC medical informatics and decision making Feb 15, 2021
BACKGROUND: Machine learning is a broad term encompassing a number of methods that allow the investigator to learn from the data. These methods may permit large real-world databases to be more rapidly translated to applications to inform patient-prov...
Algorithms Research Design Decision Making Databases, Factual Humans Machine Learning
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Predictive Analytics for Care and Management of Patients With Acute Diseases: Deep Learning-Based Method to Predict Crucial Complication Phenotypes.

Journal of medical Internet research Feb 12, 2021
BACKGROUND: Acute diseases present severe complications that develop rapidly, exhibit distinct phenotypes, and have profound effects on patient outcomes. Predictive analytics can enhance physicians' care and management of patients with acute diseases...
Humans Phenotype Deep Learning Acute Disease Neural Networks, Computer Research Design
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New machine learning and physics-based scoring functions for drug discovery.

Scientific reports Feb 4, 2021
Scoring functions are essential for modern in silico drug discovery. However, the accurate prediction of binding affinity by scoring functions remains a challenging task. The performance of scoring functions is very heterogeneous across different tar...
Peptide Hydrolases Entropy Protein Interaction Mapping Datasets as Topic Protease Inhibitors Drugs, Investigational Drug Discovery Support Vector Machine Ligands Hydrophobic and Hydrophilic Interactions Internet Research Design Molecular Docking Simulation Humans Software
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Heat Rate Prediction of Combined Cycle Power Plant Using an Artificial Neural Network (ANN) Method.

Sensors (Basel, Switzerland) Feb 3, 2021
Heat rate of a combined cycle power plant (CCPP) is a parameter that is typically used to assess how efficient a power plant is. In this paper, the CCPP heat rate was predicted using an artificial neural network (ANN) method to support maintenance pe...
Humans Neural Networks, Computer Hot Temperature Power Plants Research Design
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Protein structure search to support the development of protein structure prediction methods.

Proteins Feb 2, 2021
Protein structure prediction is a long-standing unsolved problem in molecular biology that has seen renewed interest with the recent success of deep learning with AlphaFold at CASP13. While developing and evaluating protein structure prediction metho...
Deep Learning Proteins Benchmarking Humans Research Design Structural Homology, Protein Protein Conformation, alpha-Helical Protein Conformation, beta-Strand Sequence Alignment Amino Acid Motifs
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nnU-Net: Further Automating Biomedical Image Autosegmentation.

Radiology. Imaging cancer Jan 29, 2021
Deep Learning Image Processing, Computer-Assisted Software Research Design
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Noninferiority Design in Trials Involving Artificial Intelligence Interventions: A Field Needs to Be Improved.

Gastroenterology Jan 28, 2021
Humans Artificial Intelligence Research Design
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Knowledge Extraction of Cohort Characteristics in Research Publications.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
When healthcare providers review the results of a clinical trial study to understand its applicability to their practice, they typically analyze how well the characteristics of the study cohort correspond to those of the patients they see. We have pr...
Databases, Factual Research Design Humans Knowledge Bases Cohort Studies Health Personnel Decision Support Systems, Management Publications Artificial Intelligence
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