AIMC Topic: Data Analysis

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Deep Data Analysis-Based Agricultural Products Management for Smart Public Healthcare.

Frontiers in public health Apr 7, 2022
Agricultural is an indispensably public healthcare industry for human beings at any time and smart management of it is of great significance. Since substantial technical advance relies on long-term efforts and continuous progress, reasonably scheduli...
Delivery of Health Care Data Analysis Humans Forecasting Agriculture Neural Networks, Computer
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Research on Data Analysis Network of TCM Tongue Diagnosis Based on Deep Learning Technology.

Journal of healthcare engineering Mar 29, 2022
The aim of the study is to build a tongue image intelligent analysis "end-to-end" deep learning network based on a tongue diagnosis image of traditional Chinese medicine. The tongue target region in the original image was segmented by the UNet tongue...
Humans Deep Learning Machine Learning Tongue Data Analysis Technology
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An automated process for supporting decisions in clustering-based data analysis.

Computer methods and programs in biomedicine Mar 24, 2022
BACKGROUND AND OBJECTIVE: Metrics are commonly used by biomedical researchers and practitioners to measure and evaluate properties of individuals, instruments, models, methods, or datasets. Due to the lack of a standardized validation procedure for a...
Humans Data Analysis Biological Ontologies Cluster Analysis Reproducibility of Results Benchmarking
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Machine learning and phone data can improve targeting of humanitarian aid.

Nature Mar 16, 2022
The COVID-19 pandemic has devastated many low- and middle-income countries, causing widespread food insecurity and a sharp decline in living standards. In response to this crisis, governments and humanitarian organizations worldwide have distributed ...
Machine Learning Data Analysis Humans Poverty Pandemics Cell Phone COVID-19 Relief Work
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A Contrastive Predictive Coding-Based Classification Framework for Healthcare Sensor Data.

Journal of healthcare engineering Mar 15, 2022
Supervised learning technologies have been used in medical-data classification to improve diagnosis efficiency and reduce human diagnosis errors. A large amount of manually annotated data are required for the fully supervised learning process. Howeve...
Data Analysis Humans Delivery of Health Care Machine Learning
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An Entity Relation Extraction Method for Few-Shot Learning on the Food Health and Safety Domain.

Computational intelligence and neuroscience Feb 21, 2022
In recent years, entity relation extraction has been a critical technique to help people analyze complex structured text data. However, there is no advanced research in food health and safety to help people analyze the complex concepts between food a...
Food Safety Machine Learning Humans Data Analysis
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Real-time data analysis in health monitoring systems: A comprehensive systematic literature review.

Journal of biomedical informatics Feb 20, 2022
Health monitoring systems (HMSs) capture physiological measurements through biosensors (sensing), obtain significant properties and measures from the output signal (perceiving), use algorithms for data analysis (reasoning), and trigger warnings or al...
Algorithms Monitoring, Physiologic Data Mining Machine Learning Data Analysis
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A non-invasive method for concurrent detection of early-stage women-specific cancers.

Scientific reports Feb 10, 2022
We integrated untargeted serum metabolomics using high-resolution mass spectrometry with data analysis using machine learning algorithms to accurately detect early stages of the women specific cancers of breast, endometrium, cervix, and ovary across ...
Mass Spectrometry Early Detection of Cancer Biomarkers, Tumor Middle Aged Women's Health Metabolomics Genital Neoplasms, Female Young Adult Humans Adult Machine Learning Sensitivity and Specificity Aged Breast Neoplasms Data Analysis Aged, 80 and over Female
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[Forecasts from the retort. A Greek gift of artificial intelligence : Interdisciplinary data analysis in preoperative imaging diagnostics].

Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen Feb 7, 2022
The growing influence of artificial intelligence on radiology not only leads to a fundamental change in the way diagnoses are made but also creates a wealth of additional information. Many programs correlate the parameters of image evaluation with th...
Humans Artificial Intelligence Diagnostic Imaging Machine Learning Greece Data Analysis
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Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques.

Sensors (Basel, Switzerland) Jan 14, 2022
Recent years have witnessed the proliferation of social robots in various domains including special education. However, specialized tools to assess their effect on human behavior, as well as to holistically design social robot applications, are often...
Machine Learning Robotics Autism Spectrum Disorder Data Analysis Social Interaction Humans Child
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