Sökning: "Boosted Decision Tree"

Visar resultat 1 - 5 av 26 uppsatser innehållade orden Boosted Decision Tree.

1. 1. Risk Stratification of Endometriosis through Machine Learning using Lifestyle Data : An Extensive Analysis on Lifestyle Data to Reveal Patterns in People with Endometriosis

   Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Författare :Patrick Carrera Jeri; [2023]
   Nyckelord :Lifestyle fators; Machine learning; Risk stratification; Endometriosis; Livsstilsfaktorer; Maskininlärning; Riskstratifiering; Endometrios;

   Sammanfattning : Endometriosis affect 11% of women of reproductive years worldwide. The project made use of lifestyle factors coming from the Lucy application. LÄS MER

3. 2. Event categorisation and Machine-learning Techniques in Searches for Higgs Boson Pairs in the ATLAS Experiment at the LHC

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Högenergifysik

   Författare :Milads Emadi; [2023]
   Nyckelord :Particle Physics; ATLAS; BDT; Boosted Decision Tree; Decision Tree; Optimization; Machine Learning; Analysis;

   Sammanfattning : This thesis investigates the pair production of Higgs bosons (di-Higgs events) at the ATLAS experiment in the Large Hadron Collider (LHC), focusing on the channel where one Higgs boson decays into two bottom quarks and the other decays into two tau leptons. The main objective was to determine whether introducing a split in the invariant mass of the decay products from the two Higgs bosons (the di-Higgs mass) and using this as an analysis variable improves the sensitivity of the Boosted Decision Tree (BDT) machine learning algorithm to the di-Higgs signal. LÄS MER

4. 3. Prediction of Persistence to Treatment for Patients with Rheumatoid Arthritis using Deep Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Serkan Arda Yilal; [2023]
   Nyckelord :Variational Autoencoders; Rheumatoid Arthritis; Precision Medicine; Treatment Prediction; Deep Learning; Supervised Learning; Rheumatoid Artrit; Precisionsmedicin; Behandlingsförutsägelse; Djupinlärning; Övervakat lärande;

   Sammanfattning : Rheumatoid Arthritis is an inflammatory joint disease that is one of the most common autoimmune diseases in the world. The treatment usually starts with a first-line treatment called Methotrexate, but it is often insufficient. One of the most common second-line treatments is Tumor Necrosis Factor inhibitors (TNFi). LÄS MER

5. 4. Application of a Boosted Decision Tree to signals andbackgrounds of the search for Dark Mesons at theATLAS experiment

   Master-uppsats, Uppsala universitet/Högenergifysik

   Författare :Eva Mayer; [2022]
   Nyckelord :;

   Sammanfattning : An ongoing analysis at the ATLAS experiment is searching for a Dark Matter candidate in the shape of Dark Mesons. Simulations of the signal and background data have been produced with the Monte Carlo method. This project tests the possibilities of using Boosted Decision Trees for the distinction between the simulated signal and background data. LÄS MER

7. 5. Free-text Informed Duplicate Detection of COVID-19 Vaccine Adverse Event Reports

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

   Författare :Erik Turesson; [2022]
   Nyckelord :Duplicate detection; Deduplication; Record linkage; Adverse Event Reports; COVID-19 Vaccines; Uppsala Monitoring Centre; VigiBase; Machine Learning; Gradient Boosted Decision Trees; BERT; Natural Language Processing; Pharmacovigilance; Individual Case Safety Reports;

   Sammanfattning : To increase medicine safety, researchers use adverse event reports to assess causal relationships between drugs and suspected adverse reactions. VigiBase, the world's largest database of such reports, collects data from numerous sources, introducing the risk of several records referring to the same case. LÄS MER