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Bryan Wilder

Biographic Data

ID5442016
NAMEBryan Wilder
GIVEN NAMESBryan
FAMILY NAMEWilder
SIGNATUREWILDER B
AFFILIATIONSUniversity of Central Florida
ORCID0000-0002-9410-020X
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS3
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Development of risk prediction models for preterm delivery in a rural setting in Ethiopia

    Open Access•Clara Pons‐Duran, Clara Pons-Duran et al.•ARTICLE•Journal of Global Health•2023

    Background: Preterm birth complications are the leading causes of death among children under five years. However, the inability to accurately identify pregnancies at high risk of preterm delivery is a key practical challenge, especially in resource-constrained settings with limited availability of biomarkers assessment. Methods: We evaluated whether risk of preterm delivery can be predicted using available data from a pregnancy and birth cohort i…

  • Piloting the Use of Artificial Intelligence to Enhance HIV Prevention Interventions for Youth Experiencing Homelessness

    Open Access•Eric Rice, Amanda Yoshioka‐Maxwell et al.•ARTICLE•Journal of the Society for Social…•2018•Cited by: 3•References: 9

    Objective: Youth experiencing homelessness are at risk for HIV and need interventions to prevent risky sex behaviors. We tested the feasibility of using artificial intelligence (AI) to select peer change agents (PCAs) to deliver HIV prevention messages among youth experiencing homelessness. Method: We used a pretest–posttest quasi-experimental design. In the AI condition (n = 62), 11 PCAs were selected via AI algorithm; in the popularity comparis…

  • Inference of Cultural Transmission Modes Based on Incomplete Information

    Wilder Wilder, Bryan Wilder et al.•ARTICLE•Human Biology•2015•References: 3

    In this article we explore the theoretical limits of the inference of cultural transmission modes based on sparse population-level data. We approach this problem by investigating whether different transmission modes produce different temporal dynamics of cultural change. In particular, we explore whether different transmission modes result in sufficiently different distributions of the average time a variant stays the most common variant in the p…

  • Piloting the Use of Artificial Intelligence to Enhance HIV Prevention Interventions for Youth Experiencing Homelessness

    Open Access•Eric Rice, Amanda Yoshioka‐Maxwell et al.•ARTICLE•Journal of the Society for Social…•2018•Cited by: 3•References: 9

    Objective: Youth experiencing homelessness are at risk for HIV and need interventions to prevent risky sex behaviors. We tested the feasibility of using artificial intelligence (AI) to select peer change agents (PCAs) to deliver HIV prevention messages among youth experiencing homelessness. Method: We used a pretest–posttest quasi-experimental design. In the AI condition (n = 62), 11 PCAs were selected via AI algorithm; in the popularity comparis…

  • Inference of Cultural Transmission Modes Based on Incomplete Information

    Wilder Wilder, Bryan Wilder et al.•ARTICLE•Human Biology•2015•References: 3

    In this article we explore the theoretical limits of the inference of cultural transmission modes based on sparse population-level data. We approach this problem by investigating whether different transmission modes produce different temporal dynamics of cultural change. In particular, we explore whether different transmission modes result in sufficiently different distributions of the average time a variant stays the most common variant in the p…

  • Piloting the Use of Artificial Intelligence to Enhance HIV Prevention Interventions for Youth Experiencing Homelessness

    Open Access•Eric Rice, Amanda Yoshioka‐Maxwell et al.•ARTICLE•Journal of the Society for Social…•2018•Cited by: 3•References: 9

    Objective: Youth experiencing homelessness are at risk for HIV and need interventions to prevent risky sex behaviors. We tested the feasibility of using artificial intelligence (AI) to select peer change agents (PCAs) to deliver HIV prevention messages among youth experiencing homelessness. Method: We used a pretest–posttest quasi-experimental design. In the AI condition (n = 62), 11 PCAs were selected via AI algorithm; in the popularity comparis…

  • Development of risk prediction models for preterm delivery in a rural setting in Ethiopia

    Open Access•Clara Pons‐Duran, Clara Pons-Duran et al.•ARTICLE•Journal of Global Health•2023

    Background: Preterm birth complications are the leading causes of death among children under five years. However, the inability to accurately identify pregnancies at high risk of preterm delivery is a key practical challenge, especially in resource-constrained settings with limited availability of biomarkers assessment. Methods: We evaluated whether risk of preterm delivery can be predicted using available data from a pregnancy and birth cohort i…

Medicine (2 works) · Algorithm (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Basis (linear algebra (1 works) · Behavior change (1 works) · Biology (1 works) · Cervical Cancer and HPV Research (1 works) · Clinical Psychology (1 works) · Clinical Psychology (1 works)

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