AIMC Topic: Research Design

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Machine Learning and Artificial Intelligence in Pharmaceutical Research and Development: a Review.

The AAPS journal Jan 4, 2022
Over the past decade, artificial intelligence (AI) and machine learning (ML) have become the breakthrough technology most anticipated to have a transformative effect on pharmaceutical research and development (R&D). This is partially driven by revolu...
Animals Computational Biology Forecasting Research Design Clinical Trials as Topic Pharmaceutical Research Drug Development Diffusion of Innovation Humans Artificial Intelligence Machine Learning
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Structured Verification of Machine Learning Models in Industrial Settings.

Big data Dec 31, 2021
The use of machine learning (ML) allows us to automate and scale the decision-making processes. The key to this automation is the development of ML models that generalize training data toward unseen data. Such models can become extremely versatile an...
Research Design Automation Artificial Intelligence Machine Learning Software
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Saliency map-guided hierarchical dense feature aggregation framework for breast lesion classification using ultrasound image.

Computer methods and programs in biomedicine Dec 31, 2021
Deep learning methods, especially convolutional neural networks, have advanced the breast lesion classification task using breast ultrasound (BUS) images. However, constructing a highly-accurate classification model still remains challenging due to c...
Research Design Female Ultrasonography Cluster Analysis Humans Neural Networks, Computer Ultrasonography, Mammary
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A Two-Stage Approach to Important Area Detection in Gathering Place Using a Novel Multi-Input Attention Network.

Sensors (Basel, Switzerland) Dec 31, 2021
An important area in a gathering place is a region attracting the constant attention of people and has evident visual features, such as a flexible stage or an open-air show. Finding such areas can help security supervisors locate the abnormal regions...
Research Design Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Humans
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Selective prediction-set models with coverage rate guarantees.

Biometrics Dec 30, 2021
The current approach to using machine learning (ML) algorithms in healthcare is to either require clinician oversight for every use case or use their predictions without any human oversight. We explore a middle ground that lets ML algorithms abstain ...
Humans Reproducibility of Results Algorithms Neural Networks, Computer Research Design Machine Learning
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On the Performance of Generative Adversarial Network by Limiting Mode Collapse for Malware Detection Systems.

Sensors (Basel, Switzerland) Dec 30, 2021
Generative adversarial network (GAN) has been regarded as a promising solution to many machine learning problems, and it comprises of a generator and discriminator, determining patterns and anomalies in the input data. However, GANs have several comm...
Research Design Image Processing, Computer-Assisted Neural Networks, Computer Machine Learning
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Document-level medical relation extraction via edge-oriented graph neural network based on document structure and external knowledge.

BMC medical informatics and decision making Dec 30, 2021
OBJECTIVE: Relation extraction (RE) is a fundamental task of natural language processing, which always draws plenty of attention from researchers, especially RE at the document-level. We aim to explore an effective novel method for document-level med...
Humans Neural Networks, Computer Knowledge Bases Research Design Natural Language Processing
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Federated Learning for 5G Radio Spectrum Sensing.

Sensors (Basel, Switzerland) Dec 28, 2021
Spectrum sensing (SS) is an important tool in finding new opportunities for spectrum sharing. The users, called Secondary Users (SU), who do not have a license to transmit without hindrance, need to employ SS in order to detect and use the spectrum w...
Research Design Neural Networks, Computer Algorithms
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Relieving the Incompatibility of Network Representation and Classification for Long-Tailed Data Distribution.

Computational intelligence and neuroscience Dec 27, 2021
In the real-world scenario, data often have a long-tailed distribution and training deep neural networks on such an imbalanced dataset has become a great challenge. The main problem caused by a long-tailed data distribution is that common classes wil...
Neural Networks, Computer Research Design Knowledge Bases Distillation
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A Framework for Using Real-World Data and Health Outcomes Modeling to Evaluate Machine Learning-Based Risk Prediction Models.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Dec 22, 2021
OBJECTIVES: We propose a framework of health outcomes modeling with dynamic decision making and real-world data (RWD) to evaluate the potential utility of novel risk prediction models in clinical practice. Lung transplant (LTx) referral decisions in ...
Data Collection Cystic Fibrosis Tissue and Organ Procurement Outcome Assessment, Health Care Risk Assessment Forced Expiratory Volume Machine Learning Referral and Consultation Humans Longitudinal Studies Lung Transplantation Research Design Survival Analysis
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