#predictivemodel
One week left for my #CFB model. It will be tough to hit my 60% goal for the season, but it's been a #winning season nonetheless.

#DataDriven #CollegeFootball #BetSky #PredictiveModel
November 26, 2024 at 3:16 AM
My #NBA model continues its #winningstreak, going 2-0 yesterday and 9-2 over the past 3 days...

#Winning #DataDriven #PredictiveModel #Data #Analytics #SportsBetting
December 6, 2024 at 6:10 PM
4/ 💡 Why does this matter? The Cr/CysC ratio is a simple, cost-effective measure that may serve as a proxy for muscle mass, a known predictor of better outcomes in dialysis patients. #HealthcareInnovation #PredictiveModel #RenalCare
February 5, 2025 at 9:34 PM
Could really use a 2-0 day from my #NBA model today. Both the #Kings and #Nets are playing the second game of a back to back.

#NBASky #Data #Analytics #PowerBI #PredictiveModel
November 25, 2024 at 5:46 PM
After 3 #winning days in a row, my #NBA model finally had a #losing day...

#Gambling #PredictiveModel #Data #Analytics #SportsHandicapping
December 7, 2024 at 2:19 PM
JMIR Formative Res: A Data-Driven Approach to Assessing Hepatitis B Mother-to-Child Transmission Risk Prediction Model: Machine Learning Perspective #HepatitisB #MTCT #MachineLearning #DataMining #PredictiveModel
A Data-Driven Approach to Assessing Hepatitis B Mother-to-Child Transmission Risk Prediction Model: Machine Learning Perspective
Background: Hepatitis B virus (HBV) can be transmitted from mother to child either through transplacental infection or via blood-to-blood contact during or immediately after delivery. Early and accurate risk assessments are essential for guiding clinical decisions and implementing effective preventive measures. Data mining techniques are powerful tools for identifying key predictors in medical diagnostics. Objective: This study aims to develop a robust predictive model for mother-to-child transmission (MTCT) of HBV using decision tree algorithms, specifically Iterative Dichotomiser 3 (ID3) and classification and regression trees (CART). The study identifies clinically and paraclinically relevant predictors, particularly hepatitis B e antigen (HBeAg) status and peripheral blood mononuclear cell (PBMC) concentration, for effective risk stratification and prevention. Additionally, we will assess the model’s reliability and generalizability through cross-validation with various training-test split ratios, aiming to enhance its applicability in clinical settings and inform improved preventive strategies against HBV MTCT. Methods: This study used decision tree algorithms—ID3 and CART—on a data set of 60 hepatitis B surface antigen (HBsAg)–positive pregnant women. Samples were collected either before or at the time of delivery, enabling the inclusion of patients who were undiagnosed or had limited access to treatment. We analyzed both clinical and paraclinical parameters, with a particular focus on HBeAg status and PBMC concentration. Additional biochemical markers were evaluated for their potential contributory or inhibitory effects on MTCT risk. The predictive models were validated using multiple training-test split ratios to ensure robustness and generalizability. Results: Our analysis showed that 20 out of 48 (based on a split ratio of 0.8 from a total of 60 cases, 42%) to 27 out of 57 (based on a split ratio of 0.95 from a total of 60 cases, 47%) training cases with HBeAg-positive status were associated with a significant risk of MTCT of HBV (χ28=21.16, P=.007, df=8). Among HBeAg-negative women, those with PBMC concentrations ≥8 × 106 cells/mL exhibited a low risk of MTCT, whereas individuals with PBMC concentrations
dlvr.it
May 23, 2025 at 10:10 PM
Only one game across the #NHL today, and my model doesn't have enough confidence to make a pick either way...

#SportsBetting #PredictiveModel #Algorithm
November 24, 2024 at 6:24 PM
No picks today from my #NHL model. It just doesn't feel confident in any of tonight's 4 games...

#Algorithm #PredictiveModel #Data #Analytics #PowerBI
November 26, 2024 at 4:00 PM
A new predictive chart shows promise for assessing liver cancer risk in hepatitis B patients 🧬

Key factors: cirrhosis, HBV DNA load, alcohol use & family history. Model performed well across multiple hospitals.

🔗 https://cup.org/4o9es7n

#LiverCancer #HepatitisB #PredictiveModel #PublicHealth
Analysis of influencing factors of concurrent primary liver cancer in hepatitis B patients and construction of column chart prediction model | Epidemiology & Infection | Cambridge Core
Analysis of influencing factors of concurrent primary liver cancer in hepatitis B patients and construction of column chart prediction model - Volume 153
www.cambridge.org
October 23, 2025 at 4:07 PM
My #NFL model projects the #Buccaneers to get off the schneid and easily hit the over.

#Giants #NewYork #BetSky #NFLSky #PredictiveModel
November 24, 2024 at 2:00 PM
Want to learn how to create a predictive model for your sports data story? We created one to predict the winner of the 4 Nations Face-Off tournament. #nhl #4nationsfaceoff #hockey #datastory #sportsdatastory #hockeyanalytics #datapunkhockey #predictivemodel youtu.be/qhETzicm2uw
Hockey Analyst Reveals Final Prediction for 4 Nations Face Off
YouTube video by Data Punk
youtu.be
January 28, 2025 at 12:18 AM
Between my #NHL, #NBA and #CBB models yesterday, I went 9-5. Not a bad day in the #SportsBetting world...

#DataDriven #Analytics #PredictiveModel #Algorithm #Betting #Gambling
December 11, 2024 at 1:30 PM
💻 The #Dashboard went 3-0 in the #NBA yesterday. The hot streak continues🔥

#DataDriven #FreePicks #Algorithm #SportsBetting #PredictiveModel #Gambling #MarchMadness
March 12, 2025 at 4:01 PM
Just 1 pick from my #NHL model today. I made some slight tweaks/improvements to the model yesterday, so it should improve on that 55% winning percentage.

#TexasHockey #Utah #Hockey #UtahHockeyClub #DataDriven #PredictiveModel
December 2, 2024 at 8:36 PM