Research Article
The Survival Analysis of Mental Fatigue Utilizing the Estimator of Kaplan-Meier and Nelson-Aalen
@INPROCEEDINGS{10.1007/978-3-031-48888-7_19, author={R. Eswar Reddy and K. Santhi}, title={The Survival Analysis of Mental Fatigue Utilizing the Estimator of Kaplan-Meier and Nelson-Aalen}, proceedings={Cognitive Computing and Cyber Physical Systems. 4th EAI International Conference, IC4S 2023, Bhimavaram, Andhra Pradesh, India, August 4-6, 2023, Proceedings, Part I}, proceedings_a={IC4S}, year={2024}, month={1}, keywords={mental fatigue Kaplan Meier Nelson-Aalen fatigue survival curve burnout}, doi={10.1007/978-3-031-48888-7_19} }- R. Eswar Reddy
K. Santhi
Year: 2024
The Survival Analysis of Mental Fatigue Utilizing the Estimator of Kaplan-Meier and Nelson-Aalen
IC4S
Springer
DOI: 10.1007/978-3-031-48888-7_19
Abstract
The aim of this study is to investigate mental fatigue using the Kaplan-Meier and Nelson-Aalen estimators in survival analysis. Mental fatigue is a common occurrence when the mind becomes tired from regular tasks, and it can have a negative impact on an employee’s operational functions and job efficiency. To detect mental fatigue, the shallow Kaplan-Meier method is employed by analyzing data from employee burnout evaluations.
Both the Kaplan-Meier and Nelson-Aalen estimators have proven to be effective in automatically analyzing various features from raw data. However, they often impose a significant burden on system resources during training and predictions. Therefore, alternative methods of analysis are necessary to derive the survival curve.
In this paper, we provide a mathematical foundation for the Kaplan-Meier method and explain the concept of censoring, including right censoring, interval censoring, and left censoring. Furthermore, we construct a Kaplan-Meier survival curve, which represents the probability of survival over time. The Kaplan-Meier survival curve is considered the most reliable and is recommended for predicting the variable under investigation, particularly in the fields of public health and medical research.
The findings of this research can also be utilized to develop interventions and strategies aimed at reducing mental fatigue and improving employee morale. Enhancing employee morale can positively impact an organization as a whole, as mental fatigue has been associated with lower job satisfaction and an increased likelihood of employee turnover, both of which can be further explored in future studies. Overall, this study sheds light on the significance of understanding and addressing mental fatigue in the workplace, and it provides valuable insights that can contribute to the well-being of employees and the success of organizations.
