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Showing result 16 - 20 of 114 essays matching the above criteria.

  1. 16. Development of a Machine Learning Survival Analysis Pipeline with Explainable AI for Analyzing the Complexity of ED Crowding : Using Real World Data collected from a Swedish Emergency Department

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Tobias Haraldsson; [2023]
    Keywords : SHAP; Explainable AI; Survival Analysis; LOS; Machine Learning; ED Crowding; SHAP; Förklarbar AI; Överlevnadsanalys; LOS; Maskininlärning; Överbelastning på Akuten;

    Abstract : One of the biggest challenges in healthcare is Emergency Department (ED)crowding which creates high constraints on the whole healthcare system aswell as the resources within and can be the cause of many adverse events.Is is a well known problem were a lot of research has been done and a lotof solutions has been proposed, yet the problem still stands unsolved. READ MORE

  3. 17. Domain-specific knowledge graph construction from Swedish and English news articles

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Aleksandra Krupinska; [2023]
    Keywords : knowledge graph; information extraction; knowledge representation; Swedish; English;

    Abstract : In the current age of new textual information emerging constantly, there is a challenge related to processing and structuring it in some ways. Moreover, the information is often expressed in many different languages, but the discourse tends to be dominated by English, which may lead to overseeing important, specific knowledge in less well-resourced languages. READ MORE

  4. 18. Panacea: Predicting anti-aging combinations from expression analysis

    University essay from Uppsala universitet/Institutionen för biologisk grundutbildning

    Author : Ashwini Jatti; [2023]
    Keywords : aging; machine learning; drug combinations; rejuvenation; cellular reprogramming;

    Abstract : Identifying interventions, such as drugs, that can counteract the effects of aging is crucial due to the complex nature of the aging process, which involves multiple biological processes. By targeting these processes, interventions have the potential to promote healthy aging. READ MORE

  5. 19. Machine learning for automatic grading of knee osteoarthritis from X-ray radiographs

    University essay from Uppsala universitet/Avdelningen Vi3

    Author : Ellen Siggstedt; [2023]
    Keywords : machine learning; knee osteoarthritis; image analysis; deep learning; X-ray; neural networks;

    Abstract : Knee osteoarthritis is a growing problem due to increasing risk factors such as age and obesity. It is a common task for a radiologist to grade osteoarthritis in three compartments (medial tibiofemoral (MTF), lateral tibiofemoral (LTF) and patellofemoral (PF)) in a knee from different image views of X-ray images, to decide if osteoarthritis is the cause of pain for the patient. READ MORE

  6. 20. Comprehensive Study of Brain Age Prediction using Classical Machine Learning and Neural Networks

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Pranav Prakash Chandra; [2023]
    Keywords : ;

    Abstract : The biological age of the human brain is an important biomarker in inspecting and maintaining the health of an individual. The brain age provides insights into an individual’s brain health due to genetics, environment, and lifestyle. READ MORE