Acute pancreatitis: diagnosis and treatment

P Szatmary, T Grammatikopoulos, W Cai, W Huang… - Drugs, 2022 - Springer
Acute pancreatitis is a common indication for hospital admission, increasing in incidence,
including in children, pregnancy and the elderly. Moderately severe acute pancreatitis with …

[HTML][HTML] Acute pancreatitis: A review of diagnosis, severity prediction and prognosis assessment from imaging technology, scoring system and artificial intelligence

JX Hu, CF Zhao, SL Wang, XY Tu… - World Journal of …, 2023 - ncbi.nlm.nih.gov
Acute pancreatitis (AP) is a potentially life-threatening inflammatory disease of the pancreas,
with clinical management determined by the severity of the disease. Diagnosis, severity …

Application of machine learning for cardiovascular disease risk prediction

S Dalal, P Goel, EM Onyema, A Alharbi… - Computational …, 2023 - Wiley Online Library
Cardiovascular diseases (CVDs) are a common cause of heart failure globally. The need to
explore possible ways to tackle the disease necessitated this study. The study designed a …

Machine learning determination of applied behavioral analysis treatment plan type

J Maharjan, A Garikipati, FA Dinenno, M Ciobanu… - Brain Informatics, 2023 - Springer
Background Applied behavioral analysis (ABA) is regarded as the gold standard treatment
for autism spectrum disorder (ASD) and has the potential to improve outcomes for patients …

[HTML][HTML] Predicting falls in long-term care facilities: machine learning study

R Thapa, A Garikipati, S Shokouhi, M Hurtado… - JMIR aging, 2022 - aging.jmir.org
Background Short-term fall prediction models that use electronic health records (EHRs) may
enable the implementation of dynamic care practices that specifically address changes in …

Machine Learning Approach for Improved Longitudinal Prediction of Progression from Mild Cognitive Impairment to Alzheimer's Disease

RP Adelson, A Garikipati, J Maharjan, M Ciobanu… - Diagnostics, 2023 - mdpi.com
Mild cognitive impairment (MCI) is cognitive decline that can indicate future risk of
Alzheimer's disease (AD). We developed and validated a machine learning algorithm (MLA) …

Usefulness of random forest algorithm in predicting severe acute pancreatitis

W Hong, Y Lu, X Zhou, S Jin, J Pan, Q Lin… - Frontiers in Cellular …, 2022 - frontiersin.org
Background and Aims This study aimed to develop an interpretable random forest model for
predicting severe acute pancreatitis (SAP). Methods Clinical and laboratory data of 648 …

Machine learning model identifies aggressive acute pancreatitis within 48 h of admission: a large retrospective study

L Yuan, M Ji, S Wang, X Wen, P Huang, L Shen… - BMC Medical Informatics …, 2022 - Springer
Background Acute pancreatitis (AP) with critical illness is linked to increased morbidity and
mortality. Current risk scores to identify high-risk AP patients have certain limitations …

[HTML][HTML] Development and validation of a multimodal model in predicting severe acute pancreatitis based on radiomics and deep learning

M Yin, J Lin, Y Wang, Y Liu, R Zhang, W Duan… - International Journal of …, 2024 - Elsevier
Objective Aim to establish a multimodal model for predicting severe acute pancreatitis (SAP)
using machine learning (ML) and deep learning (DL). Methods In this multicentre …

Early prediction of the severe course, survival, and ICU requirements in acute pancreatitis by artificial intelligence

AT İnce, G Silahtaroğlu, G Seven, K Koçhan, K Yıldız… - Pancreatology, 2023 - Elsevier
Objective To evaluate the success of artificial intelligence for early prediction of severe
course, survival, and intensive care unit (ICU) requirement in patients with acute pancreatitis …