About Dataset

This dataset is designed for injury detection and prevention in college sports training. It contains data derived from various biosensors and physiological metrics, including heart rate, skin temperature, blood oxygen levels, and impact force. The dataset also includes activity information and athlete-specific factors, such as fatigue and session duration. The primary goal of this dataset is to predict the likelihood of injury occurring during sports training, allowing for early detection and intervention.

Key Features:

Athlete_ID: Unique identifier for each athlete.
Sport_Type: The type of sport the athlete is engaged in (e.g., Soccer, Basketball).
Session_Date: Date of the training session.
Heart_Rate_BPM: Heart rate in beats per minute.
Respiratory_Rate_BPM: Respiratory rate in breaths per minute.
Skin_Temperature_C: Athlete's skin temperature in degrees Celsius.
Blood_Oxygen_Level_Percent: Percentage of blood oxygen saturation.
Impact_Force_Newtons: Force of impact during the training session (in Newtons).
Cumulative_Fatigue_Index: A calculated index representing the athlete's fatigue level.
Activity_Type: Type of activity performed during the session (e.g., Sprinting, Jumping).
Duration_Minutes: Duration of the training session in minutes.
Injury_Risk_Score: A calculated score representing the risk of injury.
Injury_Occurred: Target variable indicating whether an injury occurred during the session (1 for injury, 0 for no injury)