AI Medical Compendium Topic:
Models, Theoretical

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Prediction of Emergency Department Hospital Admission Based on Natural Language Processing and Neural Networks.

Methods of information in medicine
OBJECTIVE: To describe and compare logistic regression and neural network modeling strategies to predict hospital admission or transfer following initial presentation to Emergency Department (ED) triage with and without the addition of natural langua...

A neural network multi-task learning approach to biomedical named entity recognition.

BMC bioinformatics
BACKGROUND: Named Entity Recognition (NER) is a key task in biomedical text mining. Accurate NER systems require task-specific, manually-annotated datasets, which are expensive to develop and thus limited in size. Since such datasets contain related ...

Ambient Air Quality Classification by Grey Wolf Optimizer Based Support Vector Machine.

Journal of environmental and public health
With the development of society along with an escalating population, the concerns regarding public health have cropped up. The quality of air becomes primary concern regarding constant increase in the number of vehicles and industrial development. Wi...

A New Method for Automatic Sleep Stage Classification.

IEEE transactions on biomedical circuits and systems
Traditionally, automatic sleep stage classification is quite a challenging task because of the difficulty in translating open-textured standards to mathematical models and the limitations of handcrafted features. In this paper, a new system for autom...

Generic, scalable and decentralized fault detection for robot swarms.

PloS one
Robot swarms are large-scale multirobot systems with decentralized control which means that each robot acts based only on local perception and on local coordination with neighboring robots. The decentralized approach to control confers number of pote...

Short-term prediction of solar energy in Saudi Arabia using automated-design fuzzy logic systems.

PloS one
Solar energy is considered as one of the main sources for renewable energy in the near future. However, solar energy and other renewable energy sources have a drawback related to the difficulty in predicting their availability in the near future. Thi...

An expert system feedback tool improves the reliability of clinical gait kinematics for older adults with lower limb osteoarthritis.

Gait & posture
Recently, an expert system was developed to provide feedback to examiners with the aim of improving reliability of marker-based gait analysis. The purpose of the current study was to evaluate the effectiveness of this novel feedback tool in improving...

An efficient method for kidney allocation problem: a credibility-based fuzzy common weights data envelopment analysis approach.

Health care management science
Given the perennial imbalance and chronic scarcity between the demand for and supply of available organs, organ allocation is one of the most critical decisions in the management of organ transplantation networks. Organ allocation systems undergo rap...

Root cause investigation of deviations in protein chromatography based on mechanistic models and artificial neural networks.

Journal of chromatography. A
In protein chromatography, process variations, such as aging of column or process errors, can result in deviations of the product and impurity levels. Consequently, the process performance described by purity, yield, or production rate may decrease. ...

Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows.

BMC medical informatics and decision making
BACKGROUND: Predicting progression from a stage of Mild Cognitive Impairment to dementia is a major pursuit in current research. It is broadly accepted that cognition declines with a continuum between MCI and dementia. As such, cohorts of MCI patient...