AIMC Topic: Research Design

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Efficient Selection of Gaussian Kernel SVM Parameters for Imbalanced Data.

Genes Feb 25, 2023
For medical data mining, the development of a class prediction model has been widely used to deal with various kinds of data classification problems. Classification models especially for high-dimensional gene expression datasets have attracted many r...
Data Mining Support Vector Machine Algorithms Research Design
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Determinants of implementing artificial intelligence-based clinical decision support tools in healthcare: a scoping review protocol.

BMJ open Feb 23, 2023
INTRODUCTION: Artificial intelligence (AI), the simulation of human intelligence processes by machines, is being increasingly leveraged to facilitate clinical decision-making. AI-based clinical decision support (CDS) tools can improve the quality of ...
Health Facilities Scoping Reviews As Topic Decision Support Systems, Clinical Artificial Intelligence Research Design Health Personnel Delivery of Health Care Humans
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Evaluation of a decided sample size in machine learning applications.

BMC bioinformatics Feb 14, 2023
BACKGROUND: An appropriate sample size is essential for obtaining a precise and reliable outcome of a study. In machine learning (ML), studies with inadequate samples suffer from overfitting of data and have a lower probability of producing true effe...
Sample Size Probability Machine Learning Research Design
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Prediction models for the impact of the COVID-19 pandemic on research activities of Japanese nursing researchers using deep learning.

Japan journal of nursing science : JJNS Feb 9, 2023
AIM: This study aimed to construct and evaluate prediction models using deep learning to explore the impact of attributes and lifestyle factors on research activities of nursing researchers during the COVID-19 pandemic.
Nursing Research Work-Life Balance East Asian People Workload COVID-19 Research Design Cross-Sectional Studies Artificial Intelligence Deep Learning Humans Pandemics
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Deception detection with machine learning: A systematic review and statistical analysis.

PloS one Feb 9, 2023
Several studies applying Machine Learning to deception detection have been published in the last decade. A rich and complex set of settings, approaches, theories, and results is now available. Therefore, one may find it difficult to identify trends, ...
Deception Publications Neural Networks, Computer Machine Learning Research Design
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Interpretable machine learning for dementia: A systematic review.

Alzheimer's & dementia : the journal of the Alzheimer's Association Feb 3, 2023
INTRODUCTION: Machine learning research into automated dementia diagnosis is becoming increasingly popular but so far has had limited clinical impact. A key challenge is building robust and generalizable models that generate decisions that can be rel...
Research Design Humans Dementia Machine Learning
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AI, papermills, and challenges for editors.

British journal of neurosurgery Jan 17, 2023
Research Design Humans Artificial Intelligence
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Improved Bidirectional RRT* Algorithm for Robot Path Planning.

Sensors (Basel, Switzerland) Jan 16, 2023
In order to address the shortcomings of the traditional bidirectional RRT* algorithm, such as its high degree of randomness, low search efficiency, and the many inflection points in the planned path, we institute improvements in the following directi...
Robotics Algorithms Records Computer Simulation Research Design
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A review of research on eligibility criteria for clinical trials.

Clinical and experimental medicine Jan 5, 2023
The purpose of this paper is to systematically sort out and analyze the cutting-edge research on the eligibility criteria of clinical trials. Eligibility criteria are important prerequisites for the success of clinical trials. It directly affects the...
Humans Patient Selection Eligibility Determination Research Design Natural Language Processing Artificial Intelligence Clinical Trials as Topic
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Improving clinical trial design using interpretable machine learning based prediction of early trial termination.

Scientific reports Jan 4, 2023
This study proposes using a machine learning pipeline to optimise clinical trial design. The goal is to predict early termination probability of clinical trials using machine learning modelling, and to understand feature contributions driving early t...
Humans Clinical Trials as Topic Research Design Machine Learning Eligibility Determination Probability
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