AIMC Topic: Morbidity
Clear Filters Showing 31 to 40 of 44 articles
Strategies to Tackle the Global Burden of Diabetic Retinopathy: From Epidemiology to Artificial Intelligence.
Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift fur Augenheilkunde
Aug 13, 2019
Diabetes is a global public health disease projected to affect 642 million adults by 2040, with about 75% residing in low- and middle-income countries. Diabetic retinopathy (DR) affects 1 in 3 people with diabetes and remains the leading cause of bli...
Predictors of in-hospital length of stay among cardiac patients: A machine learning approach.
International journal of cardiology
Jan 19, 2019
OBJECTIVE: The In-hospital length of stay (LOS) is expected to increase as cardiovascular diseases complexity increases and the population ages. This will affect healthcare systems especially with the current situation of decreased bed capacity and i...
Estimating risk of severe neonatal morbidity in preterm births under 32 weeks of gestation.
The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
Jul 18, 2018
A large recent study analyzed the relationship between multiple factors and neonatal outcome and in preterm births. Study variables included the reason for admission, indication for delivery, optimal steroid use, gestational age, and other potential...
Infant, Premature, Diseases
Diagnostic Techniques, Obstetrical and Gynecological
Infant, Small for Gestational Age
Probability
Infant Mortality
Gestational Age
Stillbirth
Premature Birth
Risk Factors
Adult
Male
Risk Assessment
Infant
Severity of Illness Index
Predictive Value of Tests
Morbidity
Prospective Studies
Prognosis
Pregnancy
Female
Infant, Newborn
Humans
Machine Learning
Acute systolic heart failure with normal admission BNP: clinical features and outcomes.
International journal of cardiology
Dec 20, 2016
INTRODUCTION: The characteristics and outcomes of patients hospitalized with acute systolic heart failure (HF) and normal admission B-type natriuretic peptide (BNP) has not been previously explored.
Natriuretic Peptide, Brain
Middle Aged
Heart Failure, Systolic
Disease Progression
Female
Patient Admission
United States
Humans
Time Factors
Survival Rate
Follow-Up Studies
Biomarkers
Hospital Mortality
Male
Acute Disease
Prognosis
Ventricular Function, Left
Morbidity
Retrospective Studies
Stroke Volume
Patient Readmission
Early Experience of Robot-Assisted Esophagectomy With Circular End-to-End Stapled Anastomosis.
The Annals of thoracic surgery
May 4, 2016
BACKGROUND: Surgical resection is a critical element in the treatment of esophageal cancer. Esophagectomy is technically challenging and is associated with high morbidity and mortality rates. Efforts to reduce these rates have spurred the adoption of...
National trends and differences in morbidity among surgical approaches for radical prostatectomy in Germany.
World journal of urology
Mar 24, 2016
OBJECTIVE: In this study, we document trends in radical prostatectomy (RP) employment in Germany during the period 2005-2012 and compare the morbidity of open (ORP), laparoscopic and robotic-assisted RP based on nationwide administrative data of Allg...
Morbidity Rate Prediction of Dengue Hemorrhagic Fever (DHF) Using the Support Vector Machine and the Aedes aegypti Infection Rate in Similar Climates and Geographical Areas.
PloS one
May 11, 2015
BACKGROUND: In the past few decades, several researchers have proposed highly accurate prediction models that have typically relied on climate parameters. However, climate factors can be unreliable and can lower the effectiveness of prediction when t...
A simulated annealing-based Bayesian network structure optimization framework for late morbidity prediction with a large prospective dataset.
Medical physics
Jun 1, 2025
BACKGROUND: Bayesian networks are seeing increased usage in healthcare, particularly for modeling complex treatment decisions under uncertainty. Bayesian networks offer significant advantages over classical machine learning and deep learning techniqu...
Identifying daily activities of patient work for type 2 diabetes and co-morbidities: a deep learning and wearable camera approach.
Journal of the American Medical Informatics Association : JAMIA
Jul 12, 2022
OBJECTIVE: People are increasingly encouraged to self-manage their chronic conditions; however, many struggle to practise it effectively. Most studies that investigate patient work (ie, tasks involved in self-management and contexts influencing such ...
Effect of Robot-Assisted Radical Cystectomy With Intracorporeal Urinary Diversion vs Open Radical Cystectomy on 90-Day Morbidity and Mortality Among Patients With Bladder Cancer: A Randomized Clinical Trial.
JAMA
Jun 7, 2022
IMPORTANCE: Robot-assisted radical cystectomy is being performed with increasing frequency, but it is unclear whether total intracorporeal surgery improves recovery compared with open radical cystectomy for bladder cancer.
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