Output list
Conference proceeding
Mitigating postnatal depression: a big data self-help therapy
Published 11/06/2023
Big Data and Cloud Computing: Select Proceedings of ICBCC 2022, 123 - 144
ICBCC 2022 7th International Conference on Big Data and Cloud Computing Challenges, 10/03/2022–11/03/2022, Chennai, India
Mother, who gives birth, usually face a mood disorder called postpartum or postnatal depression. It appears immediately after the third week of the baby's birth. However, during the first year of delivery, women can suffer anytime with this situation, and it could lead to a couple of years after birth. Few men as a father can face this condition. If it is not monitored immediately, it triggers severe and permanent disorders such as anger issues, isolation, stress, or anxiety. A significant increase has been observed in postpartum depression incidents with harmful consequences on children as well as parents regarding their physical and emotional well-being. This research paper analysed the literature to evaluate the psychotherapies that can be followed as self-help. We also evaluated automated psychotherapy systems and meta-analysed mobile applications that are available online to cope with postpartum depression. We discussed the acceptability of a therapeutic mobile application for reducing depression during parenting and postpartum period, for the patients themselves. Finally, a combination of cognitive behavioural therapy and interpersonal psychotherapy, an algorithm; we proposed in this paper as a base to develop the mobile application that can help control and reduce depression during a postpartum situation.
Conference proceeding
Improving learning effectiveness by leveraging spaced-repetition (SR)
Published 11/06/2023
Big Data and Cloud Computing: Select Proceedings of ICBCC 2022, 145 - 161
ICBCC 2022 7th International Conference on Big Data and Cloud Computing Challenges, 22/09/2022–23/09/2022, Vellore Institute of Technology, Chennai ,India
The academic efficiency and knowledge retention of students can be improved by practicing active recall testing and implementing spaced repetition techniques. The process of trying to recall information previously learned with the aim of increasing the chance of committing the information to long-term memory is called active recall. Spaced repetition is a technique which can help students to memorize and learn information by outspreading reviews of the topics over larger range of time revising the same topic multiple times in a single session.
A qualitative method has been followed in this paper which takes a grounded theory approach while evaluating literature on different memory models, memory creation and retrieval processes. Based on the literature review, an algorithm has been proposed with the aim of improving learning effectiveness by leveraging spaced repetition techniques.