Potential risk quantification from multiple biological factors via the inverse problem algorithm as an artificial intelligence tool in clinical diagnosis

Potential risk quantification from multiple biological factors via the inverse problem algorithm as an artificial intelligence tool in clinical diagnosis

BACKGROUND: The inverse problem algorithm (IPA) uses mathematical calculations to estimate the expectation value of a specific index according to patient risk factor groups. The contributions of particular risk factors or their cross-interactions can be evaluated and ranked by their importance. OBJE...

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Bibliographic Details
Main Authors: Huang, S.-H (Author), Lin, C.-S (Author), Pan, L.-F (Author), Pan, L.-K (Author), Peng, B.-R (Author), Tsai, H.-C (Author)
Format: Article
Language:English
Published: NLM (Medline) 2023
Subjects:
algorithm
Algorithms
artificial intelligence
Artificial Intelligence
biological index series
Clinical syndrome
column matrix
human
Humans
inverse problem algorithm
nonlinear semi-empirical equation
risk factor
risk factors
Risk Factors
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