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"The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods and reports the unbiased comparison results for these methods in predicting clinical outcomes based on the EHR data"--

Medical records --- Data processing.

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With contributions from an international team of leading researchers, the book pulls together updated research results in the area of HIV/AIDS modeling to provide readers with the latest information in the field. Topics covered include: AIDS epidemic models; vaccine models; models for HIV/cell dynamics and interactions; cellular kinetics; viral dynamics with antiviral treatments; modeling of drug resistance and quasispecies.

Acquired Immunodeficiency Syndrome. --- HIV Infections. --- Models, Theoretical. --- Stochastic Processes. --- AIDS (Disease) --- HIV (Viruses) --- HIV infections --- Stochastic analysis --- Sida --- Virus de l'immunodéficience humaine --- Infections à VIH --- Analyse stochastique --- Epidemiology --- Mathematical models --- Prevention --- Pathogenesis --- Epidémiologie --- Prévention --- Pathogenèse --- Medicine --- Biomathematics. --- Biology --- Mathematics --- Health Workforce --- Mathematical models.