AIMC Topic: Humans

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Application of Machine Learning to Identify Clustering of Cardiometabolic Risk Factors in U.S. Adults.

Diabetes technology & therapeutics
The aim of this study is to compare some machine learning methods with traditional statistical parametric analyses using logistic regression to investigate the relationship of risk factors for diabetes and cardiovascular (cardiometabolic risk) for U...

A Deep Neural Network-Based Method for Early Detection of Osteoarthritis Using Statistical Data.

International journal of environmental research and public health
A large number of people suffer from certain types of osteoarthritis, such as knee, hip, and spine osteoarthritis. A correct prediction of osteoarthritis is an essential step to effectively diagnose and prevent severe osteoarthritis. Osteoarthritis i...

An Equation Based on Fuzzy Mathematics to Assess the Timing of Haemodialysis Initiation.

Scientific reports
In order to develop an equation that integrates multiple clinical factors including signs and symptoms associated with uraemia to assess the initiation of dialysis, we conducted a retrospective cohort study including 25 haemodialysis centres in Mainl...

Construction of medical equipment-based doctor health monitoring system.

Journal of medical systems
The health status of doctors has been overlooked by the society and even the doctors themselves, especially those doctors who work long hours. Their attention is always on patients, so they are more likely to ignore their own health problems. Therefo...

Towards real-time respiratory motion prediction based on long short-term memory neural networks.

Physics in medicine and biology
Radiation therapy of thoracic and abdominal tumors requires incorporating the respiratory motion into treatments. To precisely account for the patient's respiratory motions and predict the respiratory signals, a generalized model for predictions of d...

Expert-led and artificial intelligence (AI) system-assisted tutoring course increase confidence of Chinese medical interns on suturing and ligature skills: prospective pilot study.

Journal of educational evaluation for health professions
PURPOSE: Lack of confidence in suturing/ligature skills due to insufficient practices and assessments was common among novice Chinese medical interns. This study aims to improve the skill acquisition of medical interns with new interventional program...

Main factors influencing recovery in MERS Co-V patients using machine learning.

Journal of infection and public health
BACKGROUND: Middle East Respiratory Syndrome (MERS) is a major infectious disease which has affected the Middle Eastern countries, especially the Kingdom of Saudi Arabia (KSA) since 2012. The high mortality rate associated with this disease has been ...

Dynamic multi-outcome prediction after injury: Applying adaptive machine learning for precision medicine in trauma.

PloS one
OBJECTIVE: Machine learning techniques have demonstrated superior discrimination compared to conventional statistical approaches in predicting trauma death. The objective of this study is to evaluate whether machine learning algorithms can be used to...

TSE-CNN: A Two-Stage End-to-End CNN for Human Activity Recognition.

IEEE journal of biomedical and health informatics
Human activity recognition has been widely used in healthcare applications such as elderly monitoring, exercise supervision, and rehabilitation monitoring. Compared with other approaches, sensor-based wearable human activity recognition is less affec...

SLMF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization.

IEEE/ACM transactions on computational biology and bioinformatics
Synthetic lethality (SL) is a promising concept for novel discovery of anti-cancer drug targets. However, wet-lab experiments for detecting SLs are faced with various challenges, such as high cost, low consistency across platforms, or cell lines. The...