[HTML][HTML] Predicting first time depression onset in pregnancy: applying machine learning methods to patient-reported data
T Krishnamurti, S Rodriguez, B Wilder… - Archives of Women's …, 2024 - Springer
Purpose To develop a machine learning algorithm, using patient-reported data from early
pregnancy, to predict later onset of first time moderate-to-severe depression. Methods A …
pregnancy, to predict later onset of first time moderate-to-severe depression. Methods A …
A Gaussian latent variable model for incomplete mixed type data
M Ajirak, PM Djurić - ICASSP 2023-2023 IEEE International …, 2023 - ieeexplore.ieee.org
In many machine learning problems, one has to work with data of different types, including
continuous, discrete, and categorical data. Further, it is often the case that many of these …
continuous, discrete, and categorical data. Further, it is often the case that many of these …
Learning from Heterogeneous Data with Deep Gaussian Processes
Deep Gaussian processes (DGPs) are deep models represented by layers of Gaussian
processes (GPs). They are flexible Bayesian models capable of capturing highly nonlinear …
processes (GPs). They are flexible Bayesian models capable of capturing highly nonlinear …
An Efficient Fetal Health Prediction System Using Enhanced XGB Classifier Compared Over K-Nearest Neighbor Classifier with Less Complexity and Improved …
AI Reddy, WD Priya - 2023 Intelligent Computing and Control …, 2023 - ieeexplore.ieee.org
The aim of this research is to improve the Fetal Health Prediction using the XGB Classifier
and in comparison, with K-Nearest Neighbor. Prenatal diagnostics, which includes …
and in comparison, with K-Nearest Neighbor. Prenatal diagnostics, which includes …
The Impact of Racial Disparities on Prenatal Care Adequacy: An Algorithmic Fairness Perspective
M Pourbehzadi, MF Hamedani, G Javidi… - … on Machine Learning …, 2023 - ieeexplore.ieee.org
Prenatal care promotes a healthy pregnancy by reducing the risk of complications and
optimizing the chances of a successful and safe delivery. Racial disparities in prenatal care …
optimizing the chances of a successful and safe delivery. Racial disparities in prenatal care …
Uncertainty Quantification of Deep Generative Models Based on Gaussian Processes for Heterogeneous Incomplete Data
M Ajirak - 2023 - search.proquest.com
This dissertation focuses on the theoretical aspects of machine learning based on Gaussian
processes (GPs), aiming to tackle fundamental challenges related to the trustworthiness of …
processes (GPs), aiming to tackle fundamental challenges related to the trustworthiness of …