Essays about: "Data Selection"

Showing result 1 - 5 of 1649 essays containing the words Data Selection.

  1. 1. Feature Selection for Microarray Data via Stochastic Approximation

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Erik Rosvall; [2024-03-18]
    Keywords : feature selection; feature ranking; microarray data; stochastic approximation; Barzilai and Borwein method; Machine Learning; AI;

    Abstract : This thesis explores the challenge of feature selection (FS) in machine learning, which involves reducing the dimensionality of data. The selection of a relevant subset of features from a larger pool has demonstrated its effectiveness in enhancing the performance of various machine learning algorithms. READ MORE

  3. 2. Adherence in patients with heart failure. Relationships to symptom burden and hospitalization frequency : A cross-sectional survey study

    University essay from Malmö universitet/Institutionen för vårdvetenskap (VV)

    Author : Helen Moe; [2024]
    Keywords : Adherence; Cross sectional study; Heart failure; Hospitalization-frequency; Non-adherence; Symptom burden;

    Abstract : Aim: The aim of the study was to investigate the degree of adherence and non-adherence to treatment regimen in the population with heart failure, as well as to explore relationships to symptom burden and hospitalization-frequency. Introduction: Heart failure – a chronic disease with a somber prognosis and high mortality, incidence and prevalence increasing world-wide. READ MORE

  4. 3. OPTIMIZATION OF CLONE SELECTION PLATFORM FOR PRODUCTION OF RECOMBINANT PROTEINS

    University essay from Uppsala universitet/Institutionen för medicinsk biokemi och mikrobiologi

    Author : Basel Yousef; [2024]
    Keywords : ;

    Abstract : Background  Biologics are type of proteins that can be produced by expression in a foreign host for medical healthcare applications in humans. Monoclonal antibodies (mAbs) are type of biologics that are designed to specifically bind to one target, with a purpose to inhibit a certain molecule that could be associated with a disease process. READ MORE

  5. 4. Force Type ID, a Two-Factor-Authentication based on force sensitive keys and password

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Fawad Ahmad; [2024]
    Keywords : ;

    Abstract : The conventional computer keyboard keys work as binary switch systems and have stayed the same since the invention of typewriters. With the accelerated progress in forcesensing technology, force-sensitive keyboards have become viable consumer products due to advancements in manufacturing. READ MORE

  6. 5. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques

    University essay from Lunds universitet/Matematisk statistik

    Author : Zeyuan Wu; [2024]
    Keywords : Machine Learning; Diagnosis of Sepsis; XGBoost; Logistic Regression; Mathematics and Statistics;

    Abstract : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. READ MORE