Essays about: "överlevnadsanalys"

Showing result 1 - 5 of 19 essays containing the word 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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Luca Colasanti; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

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

    University essay from Uppsala universitet/Datalogi

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

    Abstract : 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. READ MORE

  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

    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

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

    University essay from KTH/Matematisk statistik

    Author : Hannes Backe; David Rydberg; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  6. 5. Evaluating an increased spill regime as a management tool to improve downstream passage of salmon smolt

    University essay from Karlstads universitet/Institutionen för miljö- och livsvetenskaper (from 2013)

    Author : Mattias Hansson; [2022]
    Keywords : hydraulic modeling; hydroacoustic telemetry; time to event analysis; hydraulisk modellering; överlevnadsanalys; hydroakustisk telemetri;

    Abstract : The anadromous Atlantic salmon (Salmo salar) is dependent on river connectivity to reach spawning and rearing habitats in rivers. Most rivers are today fragmented by artificial barriers such as hydroelectric powerplants (HEP) which impede this migratory movement. READ MORE