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- <p>Mathematics.</p> <p>Statistics.</p> <p>Medical sciences.</p> <p>Medical sciences -- Statistics.</p> <p>Probabilities.</p> <p>Diabetic retinopathy.</p> <p>Heart -- Diseases.</p> <p>Machine learning.</p> <p>Statistics -- Models.</p> (1)
- <p>Poisson distribution</p> (1)
- Chi- square Goodness of fit test (1)
- Clinical risk prediction (1)
- Diabetic retinopathy (1)
Articles 1 - 2 of 2
Full-Text Articles in Vital and Health Statistics
Comparative Machine Learning Models For Disease Risk Prediction, Mercy Mawusi Agbley
Comparative Machine Learning Models For Disease Risk Prediction, Mercy Mawusi Agbley
Theses, Dissertations and Capstones
Accurate prediction of disease outcomes is crucial for improving clinical decision-making and enabling early intervention. This study compares the performance of various statistical and machine learning models for clinical risk prediction using two healthcare datasets: diabetic retinopathy and heart disease. The models assessed include Logistic Regression, LASSO, k-Nearest Neighbors (KNN), Support Vector Machines (SVM), Neural Networks, Random Forests, Gradient Boosting Machines (GBM), and a stacked ensemble model. Prior to modeling, datasets were split into train and test sets. Standardization was applied to numeric features whilst categorical features were one-hot encoded. These transformations were later applied to the test set. Principal …
A Generalized Inflated Poisson Distribution, Patrick Stewart
A Generalized Inflated Poisson Distribution, Patrick Stewart
Theses, Dissertations and Capstones
Count data with excess number of zeros, ones or twos are commonly encountered in experimental situations. In this thesis we have examined one such fertility data from Sweden. The standard Poisson distribution, which is widely used to model such count data, may not provide a good fit to model women's fertility (defined as the number of children per woman in her lifetime) in a specific population due to various cultural and sociological reasons. Therefore, the usual Poisson distribution is inflated at specific values suitably, as dictated by the societal norms, to fit the available data. The data set is examined …