Sökning: "Multiple Imputation"

Visar resultat 1 - 5 av 22 uppsatser innehållade orden Multiple Imputation.

1. 1. An Empirical Investigation of The Effect of Proxy Response and The Merits of Its Remedial Measures

   Magister-uppsats, Högskolan Dalarna/Institutionen för information och teknik

   Författare :Charles Edward Okon; Randi Kalanika Assalaarachchi; [2023]
   Nyckelord :missing data; proxy response; missingness mechanism; error-in-variable; logistic regression; Monte-Carlo simulation; missing at random; complete case analysis; proxy substitution; multiple imputation; inverse probability treatment weighting;

   Sammanfattning : In the event of missing data, substitution of data from proxy sources are usually considered a very useful alternative when available to avoid the problem of missingness. Nonetheless, research has also shown that this approach often induces “response bias”. LÄS MER

3. 2. Forecasting post COVID-19 : How to improve forecasting models’ performance when training data has been aected by exceptional events like COVID-19 pandemic?

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

   Författare :Lina Shrebati; [2023]
   Nyckelord :Time Series; Forecasting; COVID-19; Data processing; Optimal transport; Tidsserier; Prognoser; COVID-19; Databehandling; Optimal transport;

   Sammanfattning : Almost every company around the world were aected by the COVID-19 crisis and the government measures that were taken to slow the spread of the virus. The impact the crisis had on the economy caused the appearance of anomalies in the data collected by companies : such as abnormal trend, seasonality etc. LÄS MER

4. 3. Predicting Chronic Kidney Disease using a multimodal Machine Learning approach

   Magister-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Aakruti Mishra; Navaneeth Puthiyandi; [2023]
   Nyckelord :Chronic kidney disease; Multimodal approach; ROCKET; Random Forest; XGBoost; MIMIC-III database; Data imbalance; Temporal and static modalities; Soft voting;

   Sammanfattning : Chronic Kidney Disease (CKD) is a common and dangerous health condition that requires early detection and treatment to be effective. Current diagnostic methods are time-consuming and expensive. In this research, we hope to construct a predictive model for CKD utilizing a combination of time series and static variables for early detection of CKD. LÄS MER

5. 4. Imputing connections of random gene networks from time series data using ANNs

   Master-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Författare :Sofia Andersson; [2022]
   Nyckelord :artificial neural networks; ANNs; gene regulatory networks; GRNs; imputation; gene regulatory network imputation; GRN imputation; CNNs; convolutional neural network; randomly generated networks; ternary classification; binary classification; network inference; Physics and Astronomy;

   Sammanfattning : This thesis presents the architecture of a convolutional neural network which is trained to impute the connections of randomly generated gene regulatory networks under varying amounts of regularisation. The generated gene networks are simulated from 10 different starting conditions for each set of connections in order to obtain multiple time series. LÄS MER

7. 5. Practice variation in sepsis management in the eICU database

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Nils Nordmark; Patrick Royer; [2021-12-17]
   Nyckelord :sepsis; calibration; practice variation; importance sampling; multiple imputation;

   Sammanfattning : Sepsis is a life-threatening syndrome triggered by an infection. Despite international guidelines, sepsis management varies between sites. This unwanted practice variation may affect negatively the quality of care but enables theoretically retrospective studies for finding optimal treatment strategies. LÄS MER