Analyzing Longitudinal Health Screening Data with Feature Ensemble and Machine Learning Techniques: Investigating Diagnostic Risk Factors of Metabolic Syndrome for Chronic Kidney Disease Stages 3a to 3b

Autor: Ming-Shu Chen, Tzu-Chi Liu, Mao-Jhen Jhou, Chih-Te Yang, Chi-Jie Lu

Publikováno v: Diagnostics, Vol 14, Iss 8, p 825 (2024)

Longitudinal data, while often limited, contain valuable insights into features impacting clinical outcomes. To predict the progression of chronic kidney disease (CKD) in patients with metabolic syndrome, particularly those transitioning from stage 3

Externí odkaz: https://doaj.org/article/6411ade568304941a8283417c26f972e

An integrated machine learning predictive scheme for longitudinal laboratory data to evaluate the factors determining renal function changes in patients with different chronic kidney disease stages

Autor: Ming-Hsien Tsai, Mao-Jhen Jhou, Tzu-Chi Liu, Yu-Wei Fang, Chi-Jie Lu

Publikováno v: Frontiers in Medicine, Vol 10 (2023)

Background and objectivesChronic kidney disease (CKD) is a global health concern. This study aims to identify key factors associated with renal function changes using the proposed machine learning and important variable selection (ML&IVS) scheme on l

Externí odkaz: https://doaj.org/article/c196eee9ba0a4ee19687a042e0e5942e

Hybrid Basketball Game Outcome Prediction Model by Integrating Data Mining Methods for the National Basketball Association

Autor: Wei-Jen Chen, Mao-Jhen Jhou, Tian-Shyug Lee, Chi-Jie Lu

Publikováno v: Entropy, Vol 23, Iss 4, p 477 (2021)

The sports market has grown rapidly over the last several decades. Sports outcomes prediction is an attractive sports analytic challenge as it provides useful information for operations in the sports market. In this study, a hybrid basketball game ou

Externí odkaz: https://doaj.org/article/dbc647d6ee2140479729d0c3fe6b7944

Comparing Multiple Linear Regression and Machine Learning in Predicting Diabetic Urine Albumin–Creatinine Ratio in a 4-Year Follow-Up Study

Autor: Li-Ying Huang, Fang-Yu Chen, Mao-Jhen Jhou, Chun-Heng Kuo, Chung-Ze Wu, Chieh-Hua Lu, Yen-Lin Chen, Dee Pei, Yu-Fang Cheng, Chi-Jie Lu

Publikováno v: Journal of Clinical Medicine; Volume 11; Issue 13; Pages: 3661

The urine albumin–creatinine ratio (uACR) is a warning for the deterioration of renal function in type 2 diabetes (T2D). The early detection of ACR has become an important issue. Multiple linear regression (MLR) has traditionally been used to explo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::151f081569e536aca0f1e5534d1ee3ab

Utilization of Decision Tree Algorithms for Supporting the Prediction of Intensive Care Unit Admission of Myasthenia Gravis: A Machine Learning-Based Approach

Autor: Che-Cheng Chang, Jiann-Horng Yeh, Hou-Chang Chiu, Yen-Ming Chen, Mao-Jhen Jhou, Tzu-Chi Liu, Chi-Jie Lu

Publikováno v: Journal of Personalized Medicine, Vol 12, Iss 32, p 32 (2022)
Journal of Personalized Medicine; Volume 12; Issue 1; Pages: 32
Journal of Personalized Medicine

Myasthenia gravis (MG), an acquired autoimmune-related neuromuscular disorder that causes muscle weakness, presents with varying severity, including myasthenic crisis (MC). Although MC can cause significant morbidity and mortality, specialized neuro-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64089e3fcf7521adaafc75496b3f181c
https://www.mdpi.com/2075-4426/12/1/32