Sökning: "FDA"

Visar resultat 1 - 5 av 62 uppsatser innehållade ordet FDA.

  1. 1. Utilizing Transformers with Domain-Specific Pretraining and Active Learning to Enable Mining of Product Labels

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskap

    Författare :Erik Norén; [2023]
    Nyckelord :Machine Learning; Natural Language Processing; NLP; BERT; Active Learning; AL; Pharmacovigilance; UMC; Uppsala Monitoring Centre; Structured Product Label; SPL; Transformers; Domain-Specific Pretraining; NER; Named Entity Recognition; Adverse Drug Reaction; ADR;

    Sammanfattning : Structured Product Labels (SPLs), the package inserts that accompany drugs governed by the Food and Drugs Administration (FDA), hold information about Adverse Drug Reactions (ADRs) that exists associated with drugs post-market. This information is valuable for actors working in the field of pharmacovigilance aiming to improve the safety of drugs. LÄS MER

  2. 2. Low-impact user interfaces: How can we create a climate-smart approach toward front-end mobile application design? : Evaluation and proposed improvement of existing guidelines – Focused on Online Food Delivery sector.

    Kandidat-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

    Författare :Isabella Sundqvist; Kinga Joanna Zurawska; [2023]
    Nyckelord :Low-impact App Design; UX Design; UI Design; Sustainable App Design; Food Delivery Prototype; Low-impact Application Design Guidelines; Thesis in informatics;

    Sammanfattning : The use of the Internet and digital services has increased significantly during recent years, and as Human-Computer Interaction (HCI) field keeps on expanding, it is influencing aspects of our daily lives, though not always for the better. Researchers and practitioners, including a small number of designers, are addressing the growing concerns about the Internet’s environmental impact, such as electronic waste, increased energy use, resource depletion, and carbon footprint, which have emerged in recent years, and are calling for a more environment-friendly approach to web and app design. LÄS MER

  3. 3. Effektivitet och säkerhet av anti-amyloid-β antikroppar för behandling av Alzheimers sjukdom : En litteraturstudie

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för kemi och biomedicin (KOB)

    Författare :Rebecca Davidsson; [2023]
    Nyckelord :Alzheimer´s sjukdom; anti-amyloid-β antikroppar; aducanumab; lecanemab; donanemab; crenezumab; bapineuzumab;

    Sammanfattning : Introduktion: Alzheimers sjukdom är en neurodegenerativ sjukdom som orsakas av ansamling av amyloid-β (Aβ) i hjärnan. Prevalensen av Alzheimers sjukdom ökar, och symtom inkluderar minnesförlust, ångest, depression, förvirring, nedsatt omdöme och desorientering. LÄS MER

  4. 4. Development of chitosan nanocomposite coatings for visible-light photocatalytic antiviral applications

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Michael Neuman; [2023]
    Nyckelord :Biopolymer; Chitosan; Coating; Nanocomposite; Photocatalytic; Zinc oxide; Antimicrobial; Antiviral; Coronavirus COVID-19 ; Biopolymer; Kitosan; Beläggning; Nanokomposit; Fotokatalytisk; Zinkoxid; Antimikrobiell; Antiviral; Coronavirus COVID-19 ;

    Sammanfattning : During the global pandemic of coronavirus, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak, the world was desperately searching for simpler yet more effective solutions to stop the spread of coronavirus (COVID-19). Since no one was prepared for the fast spread of such a contagious virus, there was a shortage of proper protective solutions to stop the spread. LÄS MER

  5. 5. Supervised classification for human movement data : A comparative study of functional and traditional methods

    Magister-uppsats, Umeå universitet/Statistik

    Författare :Markus Lindvall; [2023]
    Nyckelord :;

    Sammanfattning : Functional data analysis (FDA) has a growing importance in statistics, especially in disciplines like biomechanics, where it is common to observe data over time. The objective of this thesis is to employ FDA techniques and compare the classification performance of supervised classification models utilizing functional data with the same models using a discrete summary measurement (max-values) as input. LÄS MER