Exploratory analysis of machine learning approaches for surveillance of Zika‐associated birth defects

Updated baseline prevalence of birth defects potentially related to Zika virus infection

(2019) Samantha M. Olson et al.   Birth Defects Research

A Machine Learning Aided Systematic Review and Meta-Analysis of the Relative Risk of Atrial Fibrillation in Patients With Diabetes Mellitus

(2018) Zhaohan Xiong et al.   Frontiers in Physiology

Vital Signs: Zika-Associated Birth Defects and Neurodevelopmental Abnormalities Possibly Associated with Congenital Zika Virus Infection — U.S. Territories and Freely Associated States, 2018

(2018) Marion E. Rice et al.   MMWR-MORBIDITY AND MORTALITY WEEKLY REPORT

Birth Defects Among Fetuses and Infants of US Women With Evidence of Possible Zika Virus Infection During Pregnancy

(2017) Margaret A. Honein et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Characterizing the Pattern of Anomalies in Congenital Zika Syndrome for Pediatric Clinicians

(2017) Cynthia A. Moore et al.   JAMA Pediatrics

Vital Signs: Update on Zika Virus–Associated Birth Defects and Evaluation of All U.S. Infants with Congenital Zika Virus Exposure — U.S. Zika Pregnancy Registry, 2016

(2017) Megan R. Reynolds et al.   MMWR-MORBIDITY AND MORTALITY WEEKLY REPORT

Pregnancy Outcomes After Maternal Zika Virus Infection During Pregnancy — U.S. Territories, January 1, 2016–April 25, 2017

(2017) Carrie K. Shapiro-Mendoza et al.   MMWR-MORBIDITY AND MORTALITY WEEKLY REPORT

Zika Virus and Birth Defects — Reviewing the Evidence for Causality

(2016) Sonja A. Rasmussen et al.   NEW ENGLAND JOURNAL OF MEDICINE

Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective

(2015) John Kang et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Use of machine learning to shorten observation-based screening and diagnosis of autism

(2012) D P Wall et al.   Translational Psychiatry