AIMC Topic: Algorithms

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Classification of Infectious and Noninfectious Diseases Using Artificial Neural Networks from 24-Hour Continuous Tympanic Temperature Data of Patients with Undifferentiated Fever.

Critical reviews in biomedical engineering
Fever is one of the major clinical symptoms of undifferentiated fever cases. Early diagnosis of undifferentiated fever is a challenging task for the physician. The aim of this study was to classify infectious and noninfectious diseases from 24-hour c...

Automation of Detection of Cervical Cancer Using Convolutional Neural Networks.

Critical reviews in biomedical engineering
Classification of digital cervical images acquired during visual inspection with acetic acid (VIA) is an important step in automated image-based cervical cancer detection. Many algorithms have been developed for classification of cervical images base...

Comparative Analysis of Algorithmic Approaches for Auto-Coding with ICD-10-AM and ACHI.

Studies in health technology and informatics
Clinical coding is done using ICD-10-AM (International Classification of Diseases, version 10, Australian Modification) and ACHI (Australian Classification of Health Interventions) in acute and sub-acute hospitals in Australia for funding, insurance ...

Artificial intelligence in neurosciences: A clinician's perspective.

Neurology India
Even after making allowance for an unprecedented hype, it is an undeniable fact that, in the coming decade, deployment of Artificial Intelligence (AI) will cause a paradigm shift in the delivery of healthcare. This paper will review the practical uti...

Leveraging prior knowledge for protein-protein interaction extraction with memory network.

Database : the journal of biological databases and curation
Automatically extracting protein-protein interactions (PPIs) from biomedical literature provides additional support for precision medicine efforts. This paper proposes a novel memory network-based model (MNM) for PPI extraction, which leverages prior...

Machine Learning to Identify Behavioral Determinants of Oral Health in Inner City Older Hispanic Adults.

Studies in health technology and informatics
We applied machine learning techniques to a community-based behavioral dataset to build prediction models to gain insights about minority dental health and population aging as the foundation for future interventions for urban Hispanics. Our applicati...

Evaluating the Impact of Incorrect Diabetes Coding on the Performance of Multivariable Prediction Models.

Studies in health technology and informatics
The use of electronic health records for risk prediction models requires a sufficient quality of input data to ensure patient safety. The aim of our study was to evaluate the influence of incorrect administrative diabetes coding on the performance of...

Applying Deep Learning to Understand Predictors of Tooth Mobility Among Urban Latinos.

Studies in health technology and informatics
We applied deep learning algorithms to build correlate models that predict tooth mobility in a convenience sample of urban Latinos. Our application of deep learning identified age, general health, soda consumption, flossing, financial stress, and yea...

Structural Risk Evaluation of a Deep Neural Network and a Markov Model in Extracting Medical Information from Phonocardiography.

Studies in health technology and informatics
This paper presents a method for exploring structural risk of any artificial intelligence-based method in bioinformatics, the A-Test method. This method provides a way to not only quantitate the structural risk associated with a classification method...

Learning Healthcare Systems in Pediatrics: Cross-Institutional and Data-Driven Decision-Support for Intensive Care Environments (CADDIE).

Studies in health technology and informatics
BACKGROUND: The vast amount of data generated in healthcare can be reused to support decision-making by developing clinical decision-support systems. Since evidence is lacking in Pediatrics, it seems to be beneficial to design future systems towards ...