Deepest sword reddit12/16/2023 Kattar has knockout power of his own and will likely out-volume Emmett, especially in a fight that's scheduled for five rounds. We saw that in his previous bout against Ige, and Kattar is even longer and more technical with his striking. While Emmett has dynamite in his hands, he often sits on his power punches and his predictable combinations can be disrupted by an effective jab. With both of these fighters rarely mixing in their wrestling ability, this bout will stay standing up. Our best bet is the play that we like the most for this fight or where the most value lies, and is where we would put some of our bankroll behind. Our prediction is compiled from the analysis of the fighters and is an indication of who we are leaning with to win this bout. Kattar vs Emmett UFC prediction and best bet The Boston Finisher has lived up to his nickname, with four of his last six wins coming via KO/TKO. Despite a background as an outstanding high school wrestler, Kattar prefers to keep things standing up with his crisp boxing and vicious elbows. The 34-year-old is now 7-3 since entering the UFC in 2017, with all three of those losses coming by decision. Kattar was a +190 underdog for that headline event bout, but ended up winning all five rounds to bounce back from a tough loss to No. 4-ranked featherweight contender and is coming off an impressive decision victory against Giga Chikadze in January: Which earned Fight of the Night honors. *Eligible USA locations only Kattar vs Emmett betting previewĬalvin Kattar is the No. Our 5-label classification scheme outperforms the state-of-the-art schemes by improving the graded recall by 4.2% and reducing the perceived risk measure by 12.5%.If you’re signing up for a new sportsbook for UFC betting, here are two of the best bonuses* available:Ī) New users can bet $20 and get $200 in free bets with Caesars! Sign Up Nowī) New users can get two risk-free bets up to $2,000 at PointsBet! Sign Up Now Compared to the existing four-label classification scheme (no risk, low risk, moderate risk, and high risk), our proposed C-SSRS-based 5-label classification scheme distinguishes people who are supportive, from those who show different severity of suicidal tendency. Given the importance of clinical knowledge, our gold standard dataset of 500 redditors (out of 2181) was developed by four practicing psychiatrists following the guidelines outlined in Columbia.Suicide Severity Rating Scale (C-SSRS), with the pairwise annotator agreement of 0.79 and group-wise agreement of 0.73. We also use language modeling, medical entity recognition, and normalization and negation detection to create a dataset of 2181 redditors that have discussed or implied suicidal ideation, behavior, or attempt. Our approach involves developing a suicide risk severity lexicon using medical knowledge bases and suicide ontology to detect cues relevant to suicidal thoughts and actions. We provide details of our learning framework that incorporates domain-specific knowledge to predict the severity of suicide risk for an individual. Our interdisciplinary study concerns the use of Reddit as an unobtrusive data source for gleaning information about suicidal tendencies and other related mental health conditions afflicting depressed users. PHQ-9) for suicide risk prediction failed to provide a quantitative assessment of risk that informed timely clinical decision-making for intervention. This is particularly true for teenagers and younger adults where suicide is the second highest cause of death in the US Prior research involving surveys and questionnaires (e.g. While multiple initiatives have been developed and implemented for suicide prevention, a key challenge has been the social stigma associated with mental disorders, which deters patients from seeking help or sharing their experiences directly with others including clinicians. A report by Substance Abuse and Mental Health Services Administration (SAMHSA) shows that 80% of the patients suffering from Borderline Personality Disorder (BPD) have suicidal behavior, 5-10% of whom commit suicide. Mental health illness such as depression is a significant risk factor for suicide ideation, behaviors, and attempts. Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention
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