Sökning: "insurance models"

Visar resultat 1 - 5 av 153 uppsatser innehållade orden insurance models.

1. 1. In Pursuit of Promptness: Assessing the Link between HealthcareWaiting Time and Demand forVoluntary Health Insurance in Sweden

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Johanna Ene; Jakob Isaksson; [2023-06-29]
   Nyckelord :VHI; voluntary health insurance; private health insurance; waiting time; healthcare;

   Sammanfattning : The demand for voluntary health insurance (VHI) in Sweden is growing, yet there is little evidence of what drives the growth. Research in other countries with universal healthcare indicates that waiting times in the healthcare system are the main driver for the increased demand. LÄS MER

3. 2. The deductibles impact on the risk premium

   Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Ludvig Bergman; [2023]
   Nyckelord :deductible; insurance mathematics; non-life insurance pricing; Försäkringsmatematik; självrisk; självrisker;

   Sammanfattning : The aim of this master thesis is to derive methods that assesses the impact the deductiblehas on the risk premium of an insurance contract. The additive structure of a deductiblenecessitates approaches beyond treating it as a regular covariate in a generalized linearmodel for predicting the risk premium. LÄS MER

4. 3. Detection of insurance fraud using NLP and ML

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Rasmus Bäcklund; Hampus Öhman; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : Machine-Learning can sometimes see things we as humans can not. In this thesis we evaluated three different Natural Language Procces-techniques: BERT, word2vec and linguistic analysis (UDPipe), on their performance in detecting insurance fraud based on transcribed audio from phone calls (referred to as audio data) and written text (referred to as text-form data), related to insurance claims. LÄS MER

5. 4. A Predictive Analysis of Customer Churn

   Kandidat-uppsats, KTH/Matematisk statistik

   Författare :Olivia Eskils; Anna Backman; [2023]
   Nyckelord :Churn prediction; CRM; optimization; applied mathematics; machine learning; gradient boosting; random forest; logistic regression; insurance industry; Kundbortfall; CRM; optimering; tillämpad matematik; maskininlärning; gradient boosting; random forest; logistisk regression; försäkringsbranschen;

   Sammanfattning : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. LÄS MER

7. 5. Predicting Risk Level in Life Insurance Application : Comparing Accuracy of Logistic Regression, DecisionTree, Random Forest and Linear Support VectorClassifiers

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Pulagam Karthik Reddy; Sutapalli Veerababu; [2023]
   Nyckelord :Decision Tree Classifier; Logistic Regression; Machine Learning; Random Forest Classifier; Linear Support Vector Classifier;

   Sammanfattning : Background: Over the last decade, there has been a significant rise in the life insurance industry. Every life insurance application is associated with some level ofrisk, which determines the premium they charge. The process of evaluating this levelof risk for a life insurance application is time-consuming. LÄS MER