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Lenita Lindgren is an Associate Professor at Umeå University specializing in neurobiology and pain assessment. She is engaged in a project that aims to develop and evaluate an AI/ML-based system to optimize patient flow in clinical settings. Her research focuses on applying machine learning techniques to predict post-anesthesia treatment times by identifying associated risk factors, utilizing local explanation models for better understanding. Lindgren's work combines clinical employment with academic research, highlighting her commitment to bridging the gap between theory and practice in healthcare. Her qualifications as a Docent reflect her expertise and contributions to the field.
Umeå University • Umeå, Sweden
Engaged in clinical research and teaching in the field of neurobiology and pain assessment.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.