Sökning: "MCI"

Visar resultat 16 - 20 av 42 uppsatser innehållade ordet MCI.

  1. 16. Determining linguistic predictor for the classification of subjective cognitive impairment and mild cognitive impairment using machine learning

    Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

    Författare :Tian Wang; [2020-09-01]
    Nyckelord :mild cognitive impairment; sibjective cognitive impairment; natural language processing; support vector machine; neural networks;

    Sammanfattning : Introduction Mild Cognitive Impairment (MCI) is a neurological condition characterized by cognitive decline greater than expected for an individual's age and education level. Subjective Cognitive Impairment (SCI) is a selfreported decline in cognitive abilities but not clinically identified as MCI. LÄS MER

  3. 17. Impact of tractogram filtering and graph creation for structural connectomics in subjects with mild cognitive impairment

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Marvin Köpff; [2020]
    Nyckelord :Mild cognitive impairment; MCI; MRI; Tractography; Tractogram Filtering; SIFT; Graph Creation; Machine Learning; Classification;

    Sammanfattning : One particular challenge of brain connectomics deals with inferring differences in the brain due to diseases such as Alzheimer's. More specifically, structural connectomics aims at investigating the connectivity between regions in the brain based on the distribution of neuronal fibers. LÄS MER

  4. 18. Study of brain imaging correlates of Mild Cognitive Impairment and Alzheimer’s Disease with machine learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Canal Garcia Anna; [2019]
    Nyckelord :;

    Sammanfattning : Accurate diagnosis in the early stages is an important challenge for the prevention and effective treatment of Alzheimer’s Disease (AD). This work proposes a method of analysis of the correlation of Mild Cognitive Impairment (MCI) subtypes and its progression to AD using neuroimages such as structural magnetic resonance imaging (MRI) scans. LÄS MER

  5. 19. The relation between human-to-human interaction and human-to-tablet interaction in a neurocognitive test

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Axel Ekwall; Linnea Holm; [2018]
    Nyckelord :Digitalization; neurocognitive test; Rey Auditory Verbal Learning Test RAVLT ; mild cognitive impairment MCI ; validation study; usability; speech interface; human-computer interaction HCI ;

    Sammanfattning : Our lives become longer with new advancements in medicine and technology. As a result, cognition and memory impairments will become a growing concern[23]. To be able to treat cognitive decline, dementia and related diseases, the need for early detection of memory deficiencies increases. LÄS MER

  7. 20. Investigation of the relation between microbiotic changes and Alzheimer's Disease using machine learning on bile acids

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Victoria Hedenmalm; Alexander Westberg-Bladh; [2018]
    Nyckelord :Alzheimer s disease; mild cognitive impairment; machine learning; microbiota; gut flora; bile acids; ADNI; classification; metabolomics; Alzheimers sjukdom; mild kognitiv störning; maskininlärning; tarmflora; gallsyra; ADNI; klassificering;

    Sammanfattning : Alzheimer's disease (AD) is an increasing problem in modern society, both with regards to public health and cost of care. The causes of AD are not yet fully understood, and there is no cure or inhibiting drug. LÄS MER