Classification and diagnostic prediction of breast cancer metastasis on clinical data using machine learning algorithms

M Botlagunta, MD Botlagunta, MB Myneni… - Scientific Reports, 2023 - nature.com
Abstract Metastatic Breast Cancer (MBC) is one of the primary causes of cancer-related
deaths in women. Despite several limitations, histopathological information about the …

Vitamin D: An Essential Nutrient in the Dual Relationship between Autoimmune Thyroid Diseases and Celiac Disease—A Comprehensive Review

F Gorini, A Tonacci - Nutrients, 2024 - mdpi.com
Autoimmune thyroid diseases (AITD) are among the most frequent autoimmune disorders,
with a multifactorial etiology in which both genetic and environmental determinants are …

[HTML][HTML] Impact and Effectiveness of COVID-19 Vaccines Based on Machine Learning Analysis of a Time Series: A Population-Based Study

R Garcia-Carretero, M Ordoñez-Garcia… - Journal of Clinical …, 2024 - mdpi.com
Background: Although confirmed cases of infection with severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) have been declining since late 2020 due to general …

Artificial intelligence to get insights of multi-drug resistance risk factors during the first 48 hours from ICU admission

I Mora-Jiménez, J Tarancón-Rey, J Álvarez-Rodríguez… - Antibiotics, 2021 - mdpi.com
Multi-drug resistance (MDR) is one of the most current and greatest threats to the global
health system nowadays. This situation is especially relevant in Intensive Care Units (ICUs) …

基于惩罚逻辑回归的乳腺癌预测.

胡雪梅, 谢英, 蒋慧凤 - … Acquisition & Processing/Shu Ju Cai …, 2021 - search.ebscohost.com
本文采用惩罚逻辑回归方法, 利用威斯康星大学的乳腺癌数据对乳腺肿瘤进行预测.
首先选取与乳腺癌相关的10 个指标作为自变量, 接着采用逻辑回归, LASSO 惩罚逻辑回归, L2 …

The use of machine learning techniques to determine the predictive value of inflammatory biomarkers in the development of type 2 diabetes mellitus

R Garcia-Carretero, L Vigil-Medina… - … and Related Disorders, 2021 - liebertpub.com
Background: Certain inflammatory biomarkers, such as interleukin-6, interleukin-1, C-
reactive protein (CRP), and fibrinogen, are prototypical acute-phase parameters that can …

Delayed hospital admission and high-dose corticosteroids potentially prolong SARS-CoV-2 RNA detection duration of patients with COVID-19

Z Hu, S Li, A Yang, W Li, X Xiong, J Hu, J Jiang… - European journal of …, 2021 - Springer
Abstract Coronavirus disease 2019 (COVID-19) with the infection of SARS-CoV-2 has
become a serious pandemic worldwide. However, only few studies focused on risk factors of …

Predicting multidrug resistance using temporal clinical data and machine learning methods

L Pascual-Sánchez, I Mora-Jiménez… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Infections caused by multidrug resistant (MR) bacteria severely jeopardize the public's
health given the inefficiency of current antibiotics to treat them. This results in a major global …

An integrated machine learning scheme for predicting mammographic anomalies in high-risk individuals using questionnaire-based predictors

CK Sun, YX Tang, TC Liu, CJ Lu - International Journal of Environmental …, 2022 - mdpi.com
This study aimed to investigate the important predictors related to predicting positive
mammographic findings based on questionnaire-based demographic and obstetric …

Using Machine Learning to Predict Weight Gain in Adults: an Observational Analysis From the All of Us Research Program

D Jawara, KV Lauer, M Venkatesh, LN Stalter… - Journal of Surgical …, 2025 - Elsevier
Introduction Obesity, defined as a body mass index≥ 30 kg/m 2, is a major public health
concern in the United States. Preventative approaches are essential, but they are limited by …