AIMC Topic: Health

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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...
Support Vector Machine Vocal Cord Paralysis Vocal Cords Case-Control Studies Squamous Cell Carcinoma of Head and Neck Laryngeal Diseases Voice Quality Stroboscopy Neural Networks, Computer Voice Disorders Artificial Intelligence Health Aged Laryngeal Neoplasms Adult Male Middle Aged Humans
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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...
Humans Precision Medicine Machine Learning Health Biomarkers
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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...
Tomography, X-Ray Computed SARS-CoV-2 Middle Aged Machine Learning COVID-19 Health Pneumonia, Viral Decision Support Systems, Clinical Support Vector Machine Diagnosis, Differential Humans
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Deep Learning Demonstrates Potential for Lung Cancer Detection in Chest Radiography.

Radiology Sep 22, 2020
Early Detection of Cancer Radiography Thorax Health Deep Learning Lung Neoplasms Mass Screening Humans Lung
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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...
Software Phenotype User-Computer Interface Databases, Genetic Mutation Knowledge Bases Humans Disease Genome, Human Health Zygote Mosaicism
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Cautions about radiologic diagnosis of COVID-19 infection driven by artificial intelligence.

The Lancet. Digital health Apr 28, 2020
Humans Artificial Intelligence Pandemics COVID-19 SARS-CoV-2 Health
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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...
Social Environment Health Risk Factors Natural Language Processing Humans
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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 ...
Monitoring, Physiologic Humans Health Deep Learning Time Factors
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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...
Social Media Neural Networks, Computer Vocabulary Health Humans Algorithms
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Deep learning architectures for multi-label classification of intelligent health risk prediction.

BMC bioinformatics Dec 28, 2017
BACKGROUND: Multi-label classification of data remains to be a challenging problem. Because of the complexity of the data, it is sometimes difficult to infer information about classes that are not mutually exclusive. For medical data, patients could ...
Algorithms ROC Curve Humans Risk Assessment Support Vector Machine Neural Networks, Computer Deep Learning Chronic Disease Health
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