Stratifying individuals into non-alcoholic fatty liver disease risk levels using time series machine learning models-Reference-Cited by-同舟云学术

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Stratifying individuals into non-alcoholic fatty liver disease risk levels using time series machine learning models

Published:2022-02 Issue: Volume:126 Page:103986
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Ben-Assuli Ofir,Jacobi Arie,Goldman Orit,Shenhar-Tsarfaty Shani,Rogowski Ori,Zeltser David,Shapira Itzhak,Berliner Shlomo,Zelber-Sagi Shira

Funder

Israel National Institute for Health Policy Research

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference104 articles.

1. Empirical research in healthcare operations: past research, present understanding, and future opportunities;Kc;Manufact. Serv. Operat. Manage.,2020

2. The global NAFLD epidemic;Loomba;Nat. Rev. Gastroenterol. Hepatol.,2013

3. Automated phenotyping of patients with non-alcoholic fatty liver disease reveals clinically relevant disease subtypes;Vandromme,2020

4. Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes;Younossi;Hepatology,2016

5. Real-time automated sampling of electronic medical records predicts hospital mortality;Khurana;Am. J. Med.,2016

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1. Predictive Modeling for Mortality Risk in Nonalcoholic Fatty Liver Disease Patients: A Machine Learning Approach;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

2. Human-machine collaboration for feature selection and integration to improve congestive Heart failure risk prediction;Decision Support Systems;2023-09

3. High‐fat diet and oral infection induced type 2 diabetes and obesity development under different genetic backgrounds;Animal Models and Experimental Medicine;2023-04

4. Temporal Extraction of Complex Medicine by Combining Probabilistic Soft Logic and Textual Feature Feedback;Applied Sciences;2023-03-06

5. Intestinal cancer development in response to oral infection with high-fat diet-induced Type 2 diabetes (T2D) in collaborative cross mice under different host genetic background effects;Mammalian Genome;2023-02-09

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