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Research on Medical Problems Based on Mathematical Models
by
Yang, Aimin
, Liu, Yikai
, Wu, Ruozheng
in
Algorithms
/ Analysis
/ Cardiovascular system
/ Care and treatment
/ Data mining
/ Decision making
/ Diagnosis
/ Differential equations
/ Disease
/ Efficiency
/ Forecasts and trends
/ Health services
/ Heart diseases
/ Hypothesis testing
/ Linear algebra
/ Lung cancer
/ Machine learning
/ Mathematical analysis
/ Mathematical models
/ Mathematics
/ Medical diagnosis
/ Medical imaging
/ Medical research
/ Medicine, Experimental
/ Neural networks
/ Optimization
/ Pathogenesis
/ Physicians
/ Researchers
/ Risk assessment
/ Science
/ Statistical models
/ Survival analysis
2023
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Research on Medical Problems Based on Mathematical Models
by
Yang, Aimin
, Liu, Yikai
, Wu, Ruozheng
in
Algorithms
/ Analysis
/ Cardiovascular system
/ Care and treatment
/ Data mining
/ Decision making
/ Diagnosis
/ Differential equations
/ Disease
/ Efficiency
/ Forecasts and trends
/ Health services
/ Heart diseases
/ Hypothesis testing
/ Linear algebra
/ Lung cancer
/ Machine learning
/ Mathematical analysis
/ Mathematical models
/ Mathematics
/ Medical diagnosis
/ Medical imaging
/ Medical research
/ Medicine, Experimental
/ Neural networks
/ Optimization
/ Pathogenesis
/ Physicians
/ Researchers
/ Risk assessment
/ Science
/ Statistical models
/ Survival analysis
2023
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Do you wish to request the book?
Research on Medical Problems Based on Mathematical Models
by
Yang, Aimin
, Liu, Yikai
, Wu, Ruozheng
in
Algorithms
/ Analysis
/ Cardiovascular system
/ Care and treatment
/ Data mining
/ Decision making
/ Diagnosis
/ Differential equations
/ Disease
/ Efficiency
/ Forecasts and trends
/ Health services
/ Heart diseases
/ Hypothesis testing
/ Linear algebra
/ Lung cancer
/ Machine learning
/ Mathematical analysis
/ Mathematical models
/ Mathematics
/ Medical diagnosis
/ Medical imaging
/ Medical research
/ Medicine, Experimental
/ Neural networks
/ Optimization
/ Pathogenesis
/ Physicians
/ Researchers
/ Risk assessment
/ Science
/ Statistical models
/ Survival analysis
2023
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Journal Article
Research on Medical Problems Based on Mathematical Models
2023
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Overview
Mathematical modeling can help the medical community to more fully understand and explore the physiological and pathological processes within the human body and can provide more accurate and reliable medical predictions and diagnoses. Neural network models, machine learning models, and statistical models, among others, have become important tools. The paper details the applications of mathematical modeling in the medical field: by building differential equations to simulate the patient’s cardiovascular system, physicians can gain a deeper understanding of the pathogenesis and treatment of heart disease. With machine learning algorithms, medical images can be better quantified and analyzed, thus improving the precision and accuracy of diagnosis and treatment. In the drug development process, network models can help researchers more quickly screen for potentially active compounds and optimize them for eventual drug launch and application. By mining and analyzing a large number of medical data, more accurate and comprehensive disease risk assessment and prediction results can be obtained, providing the medical community with a more scientific and accurate basis for decision-making. In conclusion, research on medical problems based on mathematical models has become an important part of modern medical research, and great progress has been made in different fields.
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