Essays about: "Event recall"

Showing result 1 - 5 of 21 essays containing the words Event recall.

  1. 1. Automatic event detection oncontinuous glucose datausing neural networks

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : David Borghäll; [2023]
    Keywords : Automatic Event Detection; Continuous Glucose Monitor; Deep Learning; Diabetes Mellitus; Automatisk Eventdetektion; Kontinuerlig Glukosmätare; Djupinlärning; Diabetes;

    Abstract : Automatically detecting events for people with diabetes mellitus using continuousglucose monitors is an important step in allowing insulin pumps to automaticallycorrect the blood glucose levels and for a more hands-off approach to thedisease. The automatic detection of events could also aid physicians whenassisting their patients when referring to their continuous glucose monitordata. READ MORE

  3. 2. Combining transaction and page view data for more accurate product recommendations

    University essay from Umeå universitet/Institutionen för fysik

    Author : Soroush Rohani; [2023]
    Keywords : Recommendation systems; machine learning; e-commerce;

    Abstract : Recommendation systems are primarily used in e-commerce and retail to guide the user in a vast space of available items by providing personalized recommendations that fit the user's interests and need. Numerous types of recommendation systems have been introduced over the years. READ MORE

  4. 3. Real-time unsupervised log event anomaly detection in public transportation

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Felicia Segui; Andreas Timürtas; [2022]
    Keywords : Technology and Engineering;

    Abstract : Detecting log data anomalies in real-time is useful since it makes it possible to apply logic that corrects the anomalies when they happen. This project presents a method for detecting public transportation bus event log data anomalies in realtime, without having a labeled data set. READ MORE

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

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Erik Turesson; [2022]
    Keywords : 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;

    Abstract : 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. READ MORE

  6. 5. Prediction of Short-term Default Probability of Credit Card Invoices Using Behavioural Data

    University essay from KTH/Matematisk statistik

    Author : Billy Lu; [2022]
    Keywords : Probability of Default; Credit Risk; Short-term Default Prediction; Machine Learning; Gradient Boosting; Thresholding; Sannolikheten för Fallissemang; Kreditrisk; Kortsiktig Fallissemang Prediktion; Maskininlärning; Gradientförstärkning; Tröskling;

    Abstract : Probability of Default (PD) is a standard metric to model and monitor credit risk, a major risk facing financial institutions. Traditional PD models are used to forecast risk levels in the long-term, while short-term PD predictions are rarer, but they can support management decisions on an operational level. READ MORE