Sökning: "SHAP"

Visar resultat 11 - 15 av 48 uppsatser innehållade ordet SHAP.

  1. 11. MODELING INPUT VARIABLE AGE IN SEPSIS PREDICTION USING TREE-BASED MODELS

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Oscar Wastesson; [2023]
    Nyckelord :Machine learning; decision trees; sepsis; classification;

    Sammanfattning : Last observation carried forward (LOCF) is a common imputation method, regularly used for clinical data. It is based on the principle that the most recent observation that is known is carried forward to replace missing values. LÄS MER

  3. 12. Developing a highly accurate, locally interpretable neural network for medical image analysis

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Rony David Ventura Caballero; [2023]
    Nyckelord :XAI; Interpretability; Computer vision; Pediatric pneumonia; Chest radiograph;

    Sammanfattning : Background Machine learning techniques, such as convolutional networks, have shown promise in medical image analysis, including the detection of pediatric pneumonia. However, the interpretability of these models is often lacking, compromising their trustworthiness and acceptance in medical applications. LÄS MER

  4. 13. Exploratory Data Analysis of Live 5G Radio Access Network Configuration Data Using Interpretable Machine Learning

    Master-uppsats, Linköpings universitet/Databas och informationsteknik

    Författare :Fredrik Olsson; Erik Sköld; [2023]
    Nyckelord :;

    Sammanfattning : In the increasingly connected world of today, people are more reliant on online services than ever before. To enhance network performance, efforts needs to be made to better understand the telecommunication system. LÄS MER

  5. 14. 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

    Master-uppsats, KTH/Medicinteknik och hälsosystem

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

    Sammanfattning : 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. LÄS MER

  7. 15. Founders And Financials- Machine Learning Algorithms in Venture Capital

    C-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Författare :Viktor Lådö Naess; Emrik Stål; [2023]
    Nyckelord :Sweden; Venture Capital; Founder Characteristics; Entrepreneurial Finance; Machine Learning;

    Sammanfattning : The increased usage of machine learning (ML) algorithms in venture capital investment screening poses the question of how different characteristics influence predictions. The purpose of this study is to investigate how founder and financial characteristics influence ML predictions of the raising of more than one round for Swedish startups. LÄS MER