Based on the dataset review focusing on identifying issues related to "abnormal data patterns," the following issues have been identified:

1. Issue: **Extremely high value in 'creatinine_phosphokinase'**
   - Evidence: Maximum `creatinine_phosphokinase` is **7861**.
   - Description: The 'creatinine_phosphokinase' column has a maximum value of 7861, which is significantly higher than the mean (around 581.84) and far above the 75th percentile (582). This extreme value could indicate an outlier or abnormal data point that may affect analysis and model accuracy negatively.

2. Issue: **Wide range in 'platelets'**
   - Evidence: The 'platelets' range from **25100** to **850000**.
   - Description: The 'platelets' feature exhibits a substantial range, with the minimum at 25100 and the maximum at 850000. Considering the mean value is approximately 263358, this big range suggests the presence of outliers or highly variable data, which could distort statistical analyses and model performances.

3. Issue: **High maximum value in 'serum_creatinine'**
   - Evidence: Maximum `serum_creatinine` is **9.4**.
   - Description: The 'serum_creatinine' variable has a maximum value of 9.4, which is significantly distant from its mean (approximately 1.39) and the upper quartile (1.4). This substantial deviation suggests an abnormality in the data, possibly indicating data collection errors or outlier observations that might not be representative of the general population.

No missing values were detected across the dataset, indicating completeness in data collection. However, the identified abnormal data patterns warrant further investigation to assess their legitimacy and impact on the dataset's integrity and usability for intended applications.