Essays about: "survival prediction"

Showing result 1 - 5 of 36 essays containing the words survival prediction.

  1. 1. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging

    University essay from Lunds universitet/Matematik LTH

    Author : Marisa Wodrich; [2024]
    Keywords : Uncertainty quantification; Deep learning; Breast cancer classification; Trustworthy AI; Point-of-care ultrasound; Mathematics and Statistics;

    Abstract : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. READ MORE

  3. 2. Failure Probability and Lifetime Estimation for Industrial Robots : A Logistic Regression and Lifetime Analysis Approach

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Erik Fahlbeck Carlsson; Martin Herbert; [2023]
    Keywords : Lifetime Analysis; Logistic regression; Prediction; Lifetime estimation; Industrial robots; Livslängdsanalys; Logistisk regression; Prediktion; Livslängdsestimering; Industriella robotar;

    Abstract : The ability to handle and process data for information extraction is getting more and more important. Using extracted data from the business to improve productivity is seen as an important part in developing the business processes. In this thesis, industrial robots and their survival times are analyzed. READ MORE

  4. 3. Predicting heart failure emergency readmissions

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Paromita Sur; Alexander Stenberg; [2023]
    Keywords : Machine Learning; Patient readmission; Heart Failure; Electronic Health Records;

    Abstract : Recent progress in treatment interventions has resulted in increased survival rates and longevity for diagnosed heart failure patients. However, heart failure still remains one of the leading causes of rehospitalization worldwide, where emergency readmissions continue to be a common occurrence. READ MORE

  5. 4. Integrating web data miningand machine learningalgorithms to predict progression free survival and overall survival in multiple myeloma patients

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Yijie Zhou; [2023]
    Keywords : ;

    Abstract : Multiple myeloma patients have highly variable progression free survival and overall survivalranging from a few weeks to more than 5 years. Stratification of these patients can help toidentify high risk patients i-e patients with short-term progression free survival and overallsurvival. READ MORE

  6. 5. 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