Sökning: "Predictive Methods"

Visar resultat 1 - 5 av 199 uppsatser innehållade orden Predictive Methods.

  1. 1. Development of a predictive Antibiotic Burden Index for Primary Immunodeficiency – an explorative study

    Master-uppsats, Uppsala universitet/Institutionen för farmaceutisk biovetenskap

    Författare :Milan Al-Naqshbande; [2020]
    Nyckelord :Immunodeficiency; Immunbrist;

    Sammanfattning : Introduction: Primary immunodeficiency is a medical condition characterized by frequent infections as a result of the immune system not functioning properly. Patients are usually treated with antibiotics and immunotherapy. Since there is no mutual database for patient records between primary care and healthcare, a communication gap arises. LÄS MER

  2. 2. Predictive modeling and classification for Stroke using the machine learning methods

    Master-uppsats, Örebro universitet/Handelshögskolan vid Örebro Universitet

    Författare :Sonya Mirzaikamrani; [2020]
    Nyckelord :;

    Sammanfattning : .... LÄS MER

  3. 3. Machine Learning Based Prediction and Classification for Uplift Modeling

    Master-uppsats, KTH/Matematisk statistik; KTH/Matematisk statistik

    Författare :Lovisa Börthas; Jessica Krange Sjölander; [2020]
    Nyckelord :Uplift Modeling; Data Pre-Processing; Predictive Modeling; Incremental Modeling; Random Forests; Logistic Regression; Neural Networks; Ensemble Methods; Machine Learning; Multi-Layer Perceptron; Inkrementell responsanalys; databehandling; prediktiv modellering; random forests; logistisk regression; neurala nätverk; mulit-layer perceptron; ensemble metoder; maskininlärning;

    Sammanfattning : The desire to model the true gain from targeting an individual in marketing purposes has lead to the common use of uplift modeling. Uplift modeling requires the existence of a treatment group as well as a control group and the objective hence becomes estimating the difference between the success probabilities in the two groups. LÄS MER

  4. 4. Machine Learning Techniques To Analyze Operator’s Behavior

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Sai Srivatsava Manchala; [2020]
    Nyckelord :Machine learning; Supervised learning; Neural networks; Airline disruptions; Schedule recovery;

    Sammanfattning : Background: With savvier management teams, airlines are becoming more stable, more productive, and more profitable. The problems plaguing the aviation industry, however, have not gone away and have become more complicated instead. Schedule recovery is the process of recovery from these issues (also known as operating disturbances). LÄS MER

  5. 5. Modelling CLV in the Insurance Industry Using Deep Learning Methods

    Master-uppsats, KTH/Matematisk statistik

    Författare :Marta Jablecka; [2020]
    Nyckelord :Insurance; CLV; RNN; LSTM; GRU; DQL; Försäkring; CLV; RNN; LSTM; GRU; DQL;

    Sammanfattning : This paper presents a master’s thesis project in which deep learning methods are used to both calculate and subsequently attempt to maximize Customer Lifetime Value (CLV) for an insurance provider’s customers. Specifically, the report investigates whether panel data comprised of customers monthly insurance policy subscription history can be used with Recurrent Neural Networks (RNN) to achieve better predictive performance than the naïve forecasting model. LÄS MER