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Kings Prediction
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Background & aims: Current techniques for predicting outcome and requirement for emergency liver transplantation (ELT) in acute liver failure (ALF) are imperfect, though The Kings College Criteria (KCC) are the most commonly applied tools for this purpose. Their performance in identification of patients with non-paracetamol-induced ALF (non-POD ALF), who would not survive without ELT, has recently been questioned. Using quantitative techniques, we therefore performed a meta-analysis of outcome data of the KCC for prediction of survival in non-POD ALF.
Methods: A systematic database search was performed and retrieved articles graded according to a pre-agreed pro-forma of methodological quality. Collated data was meta-analysed for summary sensitivity, specificity, diagnostic odds ratio (DOR) and ROC curve analysis. Pre-specified sub-group analysis was performed on the basis of methodological quality, the severity of hepatic encephalopathy (HE) of reported patients, timing of KCC application and exclusion of those who underwent ELT.
Conclusions: KCC for outcome in non-POD ALF have good specificity and more limited sensitivity. There is significant heterogeneity in the published data partially related to methodological quality. KCC perform best in groups with high grade encephalopathy and in historically earlier studies suggesting modern medical management of ALF may modify performance of KCC.
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Essentially, you are sourcing raw data and enriching it to pass onto Business intelligence tools. Many companies custom build this layer themselves (or through a third party) and others use a social aggregation platform like our Nest product. You can of course achieve limited success using APIs from your social listening platform.
The fastest growing usage area of social data is in prediction. As social media has generated more and more posts, it has generated more and more data, more patterns and now can be used to forecast trends. The ability to predict which conversations will be trending in six months' time has obvious huge competitive advantage in long-term planning. The technology can unpack a rising trend into its influencers, topics and locations to allow a Brand to stoke the fire or dampen the effect
We work with our clients both as a Product or Service provider and also as a data ecosystem partner. From our experience, clients recognize that social is one piece of the data puzzle. Once the social ecosystem is set up, the question turns to how other structured data sets are combined with social data to deliver a deeper level of business intelligence.
Black Swan has a wealth of experience in ingesting, processing, classifying and enriching disparate datasets. To start the conversation, contact us at hello@blackswan.com, we look forward to hearing from you.
Our probabilities, matched with the current odds, reveal the top betting picks for every matchup, including Mavericks vs. Kings. Detailed in Dimers' best NBA bets for Tuesday, each and every play is crafted from expert modeling and analysis.
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Kevin Hansen has a track record of delivering high-quality content. He writes about all sports, but his favorites are the NFL, NBA, MLB, and NHL. Kevin enjoys crunching the numbers and using data-driven insights to take on the sportsbooks. The majority of Kevin's time is spent writing about sports betting. His love for data and analytics drove him into the world of sports betting. Finding an edge in sports betting can take a long time, but Kevin believes it is well worth the effort. Kevin is just as passionate about sports as you are, and he empowers fellow bettors to become more educated through simple, actionable betting tips. It can be difficult to navigate the world of sports betting, which is where Kevin comes in to make it as simple as possible for you to pick a winner.
We develop the concept of "dragon-kings'' corresponding to meaningful outliers, which are found to coexist with power laws in the distributions of event sizes under a broad range of conditions in a large variety of systems. These dragon-kings reveal the existence of mechanisms of self-organization that are not apparent otherwise from the distribution of their smaller siblings. We present a generic phase diagram to explain the generation of dragon-kings and document their presence in six different examples (distribution of city sizes, distribution of acoustic emissions associated with material failure, distribution of velocity increments in hydrodynamic turbulence, distribution of financial drawdowns, distribution of the energies of epileptic seizures in humans and in model animals, distribution of the earthquake energies). We emphasize the importance of understanding dragon-kings as being often associated with a neighborhood of what can be called equivalently a phase transition, a bifurcation, a catastrophe (in the sense of Rene Thom), or a tipping point. The presence of a phase transition is crucial to learn how to diagnose in advance the symptoms associated with a coming dragon-king. Several examples of predictions using the derived log-periodic power law method are discussed, including material failure predictions and the forecasts of the end of financial bubbles.
Another gigantic showdown within the wild, wild, Western Conference is soon to be underway as the Phoenix Suns take on the Sacramento Kings. Join us for our NBA odds series, where our Suns-Kings prediction and pick will be revealed.
Meanwhile, the Kings are in a very similar position but their odds to escape the treacherous Play-In Tournament are much more dire. As it stands, the Kings are entering play on Friday night with a record of 45-34 which is good for the eighth-best squad in the west. Unfortunately, with only a pair of games remaining in the regular season, Sacramento sits behind New Orleans by a full two games in the standings. With partaking in the Play-In Tournament seeming like it is going to be a guarantee, the Kings' next area of focus needs to be finding a way to earn home-court advantage in the 7th-8th place game.
During the Suns' loss to the Clippers on Tuesday, Phoenix could not have played poorer, especially in regards to their horrendous shooting. By the time the clock had hit triple zeroes, the Suns put together a 33% shooting percentage and shot terrible from three-point range. Luckily, the Suns bounced back in a big way during their second act against LA as they improved their shooting metrics by 15% en route to scoring 124 points in the 16-point win. On paper, the main thing that Phoenix has struggled with this season is consistency. Often times, the Suns look like they could be a bonafide contender, but then they will showcase that they are nowhere near being the team they should be. Whether it is too late remains to be seen, but Phoenix MUST figure out putting forth more consistent performances until now and but the time the postseason begins.
All together, the best part of Phoenix' game happens to be their rock-solid conversion rate from the free-throw line. Not only are the Suns within the top-ten of the league in free-throw attempted per game, but they also shoot a healthy 81% from the charity stripe. It will be vital for Phoenix to not settle for jumpers and instead put their heads down in drives to the rim to earn trips to the free-throw line and also get Sacramento in foul trouble. 152ee80cbc
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