Journal of Web Applications and Cyber Security (e-ISSN: 2584-0908)

A Study of Natural Language Processing in Healthcare Industries

Dattatray G. Takale — 2024-03-15

Natural Language Processing (NLP) is at the forefront of revolutionary technology, and it presents potential that have never been seen before to revolutionize the healthcare business. A thorough review of natural language processing (NLP) applications in the healthcare industry is presented in this study. The paper investigates the complex influence that NLP has on clinical documentation, illness detection, medication development, and patient engagement. In this study, the concrete advantages of natural language processing (NLP) are investigated. These benefits include increased efficiency, enhanced decision-making, and the facilitation of patient-centered care. On the other hand, difficulties pertaining to data protection, system integration, and ethical concerns are also addressed. The purpose of this study is to investigate the future possibilities of natural language processing (NLP) as it continues to develop. Specifically, the research envisions a healthcare environment in which sophisticated language processing technologies play a vital role in improving diagnostic accuracy, treatment personalization, and overall patient outcomes. The results that are provided in this review contribute to a more in-depth knowledge of the possibilities and obstacles associated with integrating natural language processing (NLP) into healthcare practices. This understanding paves the way for a future healthcare system that is more data-informed and patient-centered.

Soft Computing Models for Accurate COVID-19 Prediction: A Comparative Study

Dattatray G. Takale — 2024-03-26

The purpose of this research is to explore the effectiveness of soft computing models for accurate COVID-19 prediction by conducting a complete comparison investigation. The implementation of soft computing approaches, such as neural networks, fuzzy logic, and genetic algorithms, is something that we are investigating as a response to the worldwide requirement for accurate forecasting in the continuing epidemic. The study of the relevant literature draws attention to the shortcomings of traditional modelling techniques, so laying the groundwork for the implications and possibilities of soft computing in the field of illness prediction. The selection of a wide variety of soft computing models, the diligent collecting of data, the use of preprocessing methods, and the establishment of a methodical framework for comparative analysis are all components of our approach. The findings and comparison analysis shed light on the unique advantages and disadvantages of each model, providing insights into the overall performance of the models as well as the variables that influence the accuracy of their predictions. According to the results of this research, significant insights have been contributed to the ever-changing environment of COVID-19 prediction, which has ramifications for the process of making informed decisions in the field of public health.

Awareness Towards Utilization of E-Learning Resources Among Teacher Trainees in Special Reference to School of Education in SGVU

Roma Singh — 2024-05-08

The present study aims to find awareness of e-learning resources among B.Ed.-M.Ed. teacher trainees of SGVU. Descriptive survey methodology is used. Population of this study was B.Ed.-M.Ed. (Integrated) teacher trainees of SGVU, Jaipur. Data was collected from 30 teacher trainees with using purposive sampling method. A self-made questionnaire prepared by the researcher with the help of google form for data collection and the link has been sent to teacher trainees. The findings of the study have clearly indicated that, the teacher trainees have more aware about e-learning resources and, they have used e-learning resources regularly in classroom.

Utilization of E-Learning Resources among B.Ed. Teacher Trainees of School of Education in SGVU

Roma Singh — 2024-05-14

E-learning resources are the paths where a teacher trainee properly trained towards a future teacher. Everywhere, every time a teacher trainee can learn something new through e-resources. The present study aims to find utilization of e-learning resources among the teacher trainees of school of education. The present study has been done with the help of survey method. This was a descriptive survey methodology. Population of this study was B.Ed. (two-year) teacher trainees of SGVU, Jaipur. Data was collected from 30 teacher trainees with using purposive sampling method. It was collected online through google form. A Self-made questionnaire is prepared by researcher with the help of Google form for data collection and the link has been sent to prospective teacher trainees. The findings come out of this study is that, the B.Ed. teacher trainees have more aware about e-learning resources and, they have used e-learning resources regularly in classroom.