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[HTML][HTML] Applying an improved stacking ensemble model to predict the mortality of ICU patients with heart failure
CC Chiu, CM Wu, TN Chien, LJ Kao, C Li… - Journal of Clinical …, 2022 - mdpi.com
Cardiovascular diseases have been identified as one of the top three causes of death
worldwide, with onset and deaths mostly due to heart failure (HF). In ICU, where patients …
worldwide, with onset and deaths mostly due to heart failure (HF). In ICU, where patients …
Automated diagnosis of Retinopathy of prematurity from retinal images of preterm infants using hybrid deep learning techniques
VMR Sankari, U Snekhalatha… - … Signal Processing and …, 2023 - Elsevier
Significance Retinopathy of prematurity (ROP) is a retinal disease in premature infants,
which, when left untreated, can cause permanent blindness. Due to high variability and …
which, when left untreated, can cause permanent blindness. Due to high variability and …
Data mining classification techniques for diabetes prediction
HR Abdulqadir, AM Abdulazeez… - Qubahan Academic …, 2021 - journal.qubahan.com
Diabetes may be predicted and prevented by exploring critical diabetes characteristics by
computational data extraction methods. This study proposed a system biology approach to …
computational data extraction methods. This study proposed a system biology approach to …
A novel multi-factor three-step feature selection and deep learning framework for regional GDP prediction: evidence from China
Q Li, G Yan, C Yu - Sustainability, 2022 - mdpi.com
Gross domestic product (GDP) is an important index reflecting the economic development of
a region. Accurate GDP prediction of develo** regions can provide technical support for …
a region. Accurate GDP prediction of develo** regions can provide technical support for …
Machine learning for early discrimination between lung cancer and benign nodules using routine clinical and laboratory data
W Wei, Y Wang, R Ouyang, T Wang, R Chen… - Annals of Surgical …, 2024 - Springer
Background Lung cancer poses a global health threat necessitating early detection and
precise staging for improved patient outcomes. This study focuses on develo** and …
precise staging for improved patient outcomes. This study focuses on develo** and …
[HTML][HTML] Prediction of diabetic sensorimotor polyneuropathy using machine learning techniques
DY Shin, B Lee, WS Yoo, JW Park, JK Hyun - Journal of Clinical Medicine, 2021 - mdpi.com
Diabetic sensorimotor polyneuropathy (DSPN) is a major complication in patients with
diabetes mellitus (DM), and early detection or prediction of DSPN is important for preventing …
diabetes mellitus (DM), and early detection or prediction of DSPN is important for preventing …
Using machine learning to identify organ system specific limitations to exercise via cardiopulmonary exercise testing
Cardiopulmonary Exer cise Testing (CPET) is a unique physiologic medical test used to
evaluate human response to progressive maximal exercise stress. Depending on the …
evaluate human response to progressive maximal exercise stress. Depending on the …
[HTML][HTML] Prediction of diabetic neuropathy using machine learning techniques
JK Hyun - The Journal of Korean Diabetes, 2022 - synapse.koreamed.org
Peripheral polyneuropathy is one of the most common complications in patients with
diabetes mellitus, and it results in neuropathic pain, falling tendency, and foot ulcers as well …
diabetes mellitus, and it results in neuropathic pain, falling tendency, and foot ulcers as well …
Development and validation of risk prediction model for diabetic neuropathy among diabetes mellitus patients at selected referral hospitals, in Amhara regional state …
NB Gelaw, AA Muche, AZ Alem, NB Gebi, YM Chekol… - PLoS …, 2023 - journals.plos.org
Background Diabetic neuropathy is the most common complication in both Type-1 and Type-
2 DM patients with more than one half of all patients develo** nerve dysfunction in their …
2 DM patients with more than one half of all patients develo** nerve dysfunction in their …
[HTML][HTML] Optimizing Clinical Diabetes Diagnosis through Generative Adversarial Networks: Evaluation and Validation
The escalating prevalence of Type 2 Diabetes (T2D) represents a substantial burden on
global healthcare systems, especially in regions such as Mexico. Existing diagnostic …
global healthcare systems, especially in regions such as Mexico. Existing diagnostic …