@inProceedings{lundholmfors-etal-2018-automated-263790, title = {Automated Syntactic Analysis of Language Abilities in Persons with Mild and Subjective Cognitive Impairment}, abstract = {In this work we analyze the syntactic complexity of transcribed picture descriptions using a variety of automated syntactic features, and investigate the features’ predictive power in classifying narratives from people with subjective and mild cognitive impairment and healthy controls. Our results indicate that while there are no statistically significant differences, syntactic features can still be moderately successful at distinguishing the participant groups when used in a machine learning framework.}, booktitle = {Building continents of knowledge in oceans of data : the future of co-created eHealth: proceedings of MIE2018, 24-26 April 2018, Gothenburg, Sweden}, editor = {Adrien Ugon and Daniel Karlsson and Gunnar O. Klein and Anne Moen.}, author = {Lundholm Fors, Kristina and Fraser, Kathleen and Kokkinakis, Dimitrios}, year = {2018}, publisher = {IOS Press}, address = {Amsterdam}, ISBN = {978-1-61499-851-8}, }