Sökning: "Överlevnadsanalys"

Visar resultat 1 - 5 av 39 uppsatser innehållade ordet Överlevnadsanalys.

  1. 1. Customer churn prediction in a slow fashion e-commerce context : An analysis of the effect of static data in customer churn prediction

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

    Författare :Luca Colasanti; [2023]
    Nyckelord :Survival Analysis; Time To Event prediction; Churn retention; Machine Learning; Deep Learning; Customer Clustering; E-commerce; Analisi di sopravvivenza; Previsione del tempo a evento; Ritenzione dall’abbandono dei clienti; Apprendimento automatico; Apprendimento profondo; Segmentazione della clientela; Commercio elettronico; Överlevnadsanalys; Tid till händelseförutsägelse; Churn Prediction; Maskininlärning; Djuplärning; Kundkluster; E-handel;

    Sammanfattning : Survival analysis is a subfield of statistics where the goal is to analyse and model the data where the outcome is the time until the occurrence of an event of interest. Because of the intrinsic temporal nature of the analysis, the employment of more recently developed sequential models (Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM)) has been paired with the use of dynamic temporal features, in contrast with the past reliance on static ones. LÄS MER

  3. 2. Machine learning for risk ranking of component failure : A comparative study of traditional- and survival machine learning approaches applied to historical data

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Datalogi

    Författare :Fredrik Nilsson; Fanny Fristedt; [2023]
    Nyckelord :Machine learning; Survival analysis; Trains; Freight trains; Damage prediction; Maskininlärning; överlevnadsanalys; tåg; godståg; Skadeprediktion;

    Sammanfattning : This master thesis investigates the use of machine learning for predicting and assessing the risk of railway vehicle component failures. Data used for failure prediction often comes with limitations due to the complex nature of maintenance or sometimes requires investments for the extraction of information. LÄS MER

  4. 3. 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

  5. 4. Statistical Modelling of Price Difference Durations Between Limit Order Books: Applications in Smart Order Routing

    Master-uppsats, KTH/Matematisk statistik

    Författare :Hannes Backe; David Rydberg; [2023]
    Nyckelord :Smart Order Routing; Market Microstructure; Statistical Modelling; Survival Analysis; Kaplan-Meier; Cox Proportional Hazards; Random Survival Forest; Smart Order Routing; Marknadsmikrostruktur; Statistisk Modellering; Överlevnadsanalys; Kaplan-Meier; Cox Proportional Hazards; Random Survival Forest;

    Sammanfattning : The modern electronic financial market is composed of a large amount of actors. With the surge in algorithmic trading some of these actors collectively behave in increasingly complex ways. Historically, academic research related to financial markets has been focused on areas such as asset pricing, portfolio management and financial econometrics. LÄS MER

  7. 5. En överlevnadsstudie av återfallsbrottslighet i Sverige 2010-2020

    Kandidat-uppsats, Stockholms universitet/Statistiska institutionen

    Författare :Martin Jonasson; Martin Lilja; [2023]
    Nyckelord :Survival analysis; Recidivism; Kaplan-Meier; Lognormal distribution; Cox proportional hazard model; Överlevnadsanalys; Återfall i brott; Kaplan-Meier; Lognormalfördelning; Cox proportionella hasardmodell;

    Sammanfattning : Återfallsbrottslighet är ett väl beforskat ämne inom såväl kriminologisk som statistik forskning. Däremot är underlaget begränsat och dåligt uppdaterat på svenska material. Denna studie har med överlevnadsanalys undersökt tid till återfall i Sverige över tidsperioden 2010 till 2020. LÄS MER