Abstract Early prognostication of long-term outcome comatose patients after cardiac arrest remains challenging. Electroencephalography-based power spectra have been shown to help with the identification favorable during first day coma. Here, we aim at comparing prognostic value and second coma onset following arrest, investigate impact sedation on prognostication. In this cohort observational s...

Brain injury is the dominant cause of death for cardiac arrest patients who are admitted to an intensive care unit, and the majority of patients die after withdrawal of life sustaining therapy (WLST) based on a presumed poor neurologic outcome. Mild induced hypothermia was found to decrease the reliability of several methods for neurological prognostication. Algorithms for prediction of outcome...

The ability to predict might appear to be an unambiguous good, especially in the ancient world where, we are told, people were constantly at the mercy of natural forces. Furthermore, the ability to predict was also linked to the development of Greek techne and science, which, at least in the positivist history of science, is always represented in the most positive terms. By prediction I mean a ...

Colorectal cancer (CRC) is amongst the most widespread cancers and is a most common cause of cancer associated mortality universally. Since previous decades, it has been cleared that CRC develops owing to the buildup of a series of genetic and epigenetic changes in the normal colonic epithelium. Regardless of the current development in surgery and therapies, overall survival of end stage CRC pa...

In the previous era, a computer is programmed for some specific task. An electronic device to do its function electronically. It was done with target device, programming environment and system. We get necessary intermediate code by running program above said committed into device. Thus performs task it intended do. case if we need change functionality of learning experience vendor users, will u...

Received December 30, 1999; accepted March 15, 2000. This conference on artificial neural networks (ANNs) provided an opportunity to explore current and future strategies for the prediction of outcomes for patients with prostate carcinoma. For example, it is necessary to improve the selection process for prostate biopsy for a patient with clinical factors that raise the suspicion of prostate ca...

Cardiovascular diseases are among the leading causes of morbidity and mortality. Despite scientific and technical progress in risk prediction, diagnostics, prognostication and therapy of cardiovascular pathologies, new biomarkers and therapeutic targets remain the subject of intense research to reduce the burden of these diseases. High throughput analyses, termed "omics", are a promising avenue...

Pre-eclampsia is a leading cause of maternal mortality, responsible annually for over 60,000 maternal deaths around the globe. Pre-eclampsia is a multisystem disease featuring hypertension, proteinuria, and renal, hepatic, and neurological involvement. Diagnosis is often elusive, as clinical presentation is highly variable. Even those with severe disease can remain asymptomatic. Angiogenic fact...