AIMC Topic: Health
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A review of machine learning applications in heart health.
Biomedical engineering online
Aug 11, 2025
The application of machine learning in healthcare continues to gain attention as researchers attempt to prove its potential for the enhancement of diagnosis and prognosis accuracy. Although many applications of machine learning have been well studied...
Classification of laryngeal diseases including laryngeal cancer, benign mucosal disease, and vocal cord paralysis by artificial intelligence using voice analysis.
Scientific reports
Apr 23, 2024
Voice change is often the first sign of laryngeal cancer, leading to diagnosis through hospital laryngoscopy. Screening for laryngeal cancer solely based on voice could enhance early detection. However, identifying voice indicators specific to laryng...
Individual health-disease phase diagrams for disease prevention based on machine learning.
Journal of biomedical informatics
Jul 17, 2023
Early disease detection and prevention methods based on effective interventions are gaining attention worldwide. Progress in precision medicine has revealed that substantial heterogeneity exists in health data at the individual level and that complex...
Accurately Differentiating Between Patients With COVID-19, Patients With Other Viral Infections, and Healthy Individuals: Multimodal Late Fusion Learning Approach.
Journal of medical Internet research
Jan 6, 2021
BACKGROUND: Effectively identifying patients with COVID-19 using nonpolymerase chain reaction biomedical data is critical for achieving optimal clinical outcomes. Currently, there is a lack of comprehensive understanding in various biomedical feature...
Deep Learning Demonstrates Potential for Lung Cancer Detection in Chest Radiography.
Radiology
Sep 22, 2020
MosaicBase: A Knowledgebase of Postzygotic Mosaic Variants in Noncancer Disease-related and Healthy Human Individuals.
Genomics, proteomics & bioinformatics
Sep 8, 2020
Mosaic variants resulting from postzygotic mutations are prevalent in the human genome and play important roles in human diseases. However, except for cancer-related variants, there is no collection of postzygotic mosaic variants in noncancer disease...
Cautions about radiologic diagnosis of COVID-19 infection driven by artificial intelligence.
The Lancet. Digital health
Apr 28, 2020
Moonstone: a novel natural language processing system for inferring social risk from clinical narratives.
Journal of biomedical semantics
Apr 11, 2019
BACKGROUND: Social risk factors are important dimensions of health and are linked to access to care, quality of life, health outcomes and life expectancy. However, in the Electronic Health Record, data related to many social risk factors are primaril...
A Time-Distributed Spatiotemporal Feature Learning Method for Machine Health Monitoring with Multi-Sensor Time Series.
Sensors (Basel, Switzerland)
Sep 3, 2018
Data-driven methods with multi-sensor time series data are the most promising approaches for monitoring machine health. Extracting fault-sensitive features from multi-sensor time series is a daunting task for both traditional data-driven methods and ...
Identifying tweets of personal health experience through word embedding and LSTM neural network.
BMC bioinformatics
Jun 13, 2018
BACKGROUND: As Twitter has become an active data source for health surveillance research, it is important that efficient and effective methods are developed to identify tweets related to personal health experience. Conventional classification algorit...
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