AIMC Topic: Morbidity

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Can online support groups address psychological morbidity of cancer patients? An artificial intelligence based investigation of prostate cancer trajectories.

PloS one
BACKGROUND: Online Cancer Support Groups (OCSG) are becoming an increasingly vital source of information, experiences and empowerment for patients with cancer. Despite significant contributions to physical, psychological and emotional wellbeing of pa...

Prediction of thirty-day morbidity and mortality after laparoscopic sleeve gastrectomy: data from an artificial neural network.

Surgical endoscopy
BACKGROUND: Multiple patient factors may convey increased risk of 30-day morbidity and mortality after laparoscopic vertical sleeve gastrectomy (LVSG). Assessing the likelihood of short-term morbidity is useful for both the bariatric surgeon and pati...

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
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
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
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...

Early Experience of Robot-Assisted Esophagectomy With Circular End-to-End Stapled Anastomosis.

The Annals of thoracic surgery
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
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
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
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...