AIMC Topic: Alabama

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Older driver at-fault crashes at unsignalized intersections in Alabama: Injury severity analysis with supporting evidence from a deep learning based approach.

Journal of safety research Apr 27, 2023
INTRODUCTION: The research described in this paper explored the factors contributing to the injury severity resulting from the male and female older driver (65 years and older) at-fault crashes at unsignalized intersections in Alabama.
Humans Artificial Intelligence Female Aged Male Deep Learning Logistic Models Accidents, Traffic Wounds and Injuries Alabama
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Incidence, Results, and Our Current Intraoperative Technique to Control Major Vascular Injuries During Minimally Invasive Robotic Thoracic Surgery.

The Annals of thoracic surgery Jun 22, 2016
BACKGROUND: Our objective is to report our incidence, results, and technique for the control of major vascular injuries during minimally invasive robotic thoracic surgery.
Humans Retrospective Studies Female Aged Male Incidence Lung Neoplasms Treatment Outcome Follow-Up Studies Robotics Pneumonectomy Thoracic Surgery, Video-Assisted Intraoperative Complications Alabama Vascular System Injuries
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Using applied machine learning to predict healthcare utilization based on socioeconomic determinants of care.

The American journal of managed care Jan 1, 2020
OBJECTIVES: To determine if it is possible to risk-stratify avoidable utilization without clinical data and with limited patient-level data.
Humans Machine Learning Female Hospitalization Aged Young Adult Adult Male Middle Aged Infant Adolescent Child, Preschool Child Socioeconomic Factors Decision Trees Emergency Service, Hospital Social Determinants of Health Risk Georgia Patient Acceptance of Health Care Ohio Alabama
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