AIMC Topic: Risk Factors

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Analyzing depression tendency of web posts using an event-driven depression tendency warning model.

Artificial intelligence in medicine
OBJECTIVE: The Internet has become a platform to express individual moods/feelings of daily life, where authors share their thoughts in web blogs, micro-blogs, forums, bulletin board systems or other media. In this work, we investigate text-mining te...

Evaluation of positive surgical margins in patients undergoing robot-assisted and open radical prostatectomy according to preoperative risk groups.

Urologic oncology
OBJECTIVES: Recent studies showed that robot-assisted radical prostatectomy (RARP) represents an oncologically safe procedure in patients with prostate cancer (PCa), where the rate of positive surgical margins (PSMs) might be lower in patients treate...

Myocardial Fractional Flow Reserve Measurement Using Contrast Media as a First-Line Assessment of Coronary Lesions in Current Practice.

The Canadian journal of cardiology
BACKGROUND: Fractional flow reserve (FFR) measurement requires adenosine injection. However, adenosine can induce conductive and rhythmic complications, or be contraindicated in some patients. Contrast-induced hyperemia could provide a simple first-l...

Exploring the forest instead of the trees: An innovative method for defining obesogenic and obesoprotective environments.

Health & place
Past research has assessed the association of single community characteristics with obesity, ignoring the spatial co-occurrence of multiple community-level risk factors. We used conditional random forests (CRF), a non-parametric machine learning appr...

Antidepressant use in late gestation and risk of postpartum haemorrhage: a retrospective cohort study.

BJOG : an international journal of obstetrics and gynaecology
OBJECTIVE: To investigate the association between antidepressant use in late gestation and postpartum haemorrhage (PPH).

High frequency of neurosyphilis in HIV-positive patients diagnosed with early syphilis.

HIV medicine
BACKGROUND: Syphilis is an infection frequently seen with HIV, and European guidelines on the management of syphilis suggest that HIV-infected patients may have an increased risk of early neurological involvement, sometimes asymptomatic. Recent study...

Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences.

Artificial intelligence in medicine
OBJECTIVES: Inspired by real-world examples from the forensic medical sciences domain, we seek to determine whether a decision about an interventional action could be subject to amendments on the basis of some incomplete information within the model,...

Expert system supporting an early prediction of the bronchopulmonary dysplasia.

Computers in biology and medicine
This work presents a decision support system which uses machine learning to support early prediction of bronchopulmonary dysplasia (BPD) for extremely premature infants after their first week of life. For that purpose a knowledge database was created...

A Soft Computing Approach to Kidney Diseases Evaluation.

Journal of medical systems
Kidney renal failure means that one's kidney have unexpectedly stopped functioning, i.e., once chronic disease is exposed, the presence or degree of kidney dysfunction and its progression must be assessed, and the underlying syndrome has to be diagno...