Supervised Machine-Learning Reveals That Old and Obese People Achieve Low Dapsone Concentrations-Reference-Cited by-同舟云学术

Supervised Machine-Learning Reveals That Old and Obese People Achieve Low Dapsone Concentrations

Published:2017-07-13 Issue:8 Volume:6 Page:552-559
ISSN:2163-8306
Container-title:CPT: Pharmacometrics & Systems Pharmacology
language:en
Short-container-title:CPT Pharmacometrics Syst. Pharmacol.

Author:

Hall RG¹,Pasipanodya JG²,Swancutt MA³,Meek C¹,Leff R¹,Gumbo T²⁴

Affiliation:

1. Dose Optimization and Outcomes Research (DOOR) Program; School of Pharmacy, Texas Tech University Health Sciences Center; Dallas Texas USA

2. Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center; Dallas Texas USA

3. Department of Medicine; University of Texas Southwestern Medical Center; Dallas Texas USA

4. Department of Medicine; University of Cape Town, Observatory; Cape Town South Africa

Publisher

Wiley

Subject

Pharmacology (medical),Modeling and Simulation

Reference41 articles.

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2. Serum drug concentrations predictive of pulmonary tuberculosis outcomes;Pasipanodya;J. Infect. Dis.,2013

3. Meta-analysis of clinical studies supports the pharmacokinetic variability hypothesis for acquired drug resistance and failure of antituberculosis therapy;Pasipanodya;Clin. Infect. Dis.,2012

4. Population pharmacokinetics and clinical response for artemether-lumefantrine in pregnant and nonpregnant women with uncomplicated Plasmodium falciparum malaria in Tanzania;Mosha;Antimicrob. Agents Chemother.,2014

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