Design and Developing a Cancer Chatbot in Website

Year : 2024 | Volume :11 | Issue : 01 | Page : –
By

    Aaron Sam A. S.

  1. Sobana R.S.

  2. Lakshmi R.

  3. S. Rathnamala

  4. A. Karthickumar

  1. Student, Department of Artificial Intelligence & Data Science, Sethu Institute of Technology, Thoothukudi, Tamil Nadu, India
  2. Student, Department of Artificial Intelligence & Data Science, Sethu Institute of Technology, Thoothukudi, Tamil Nadu, India
  3. Student, Department of Artificial Intelligence & Data Science, Sethu Institute of Technology, Thoothukudi, Tamil Nadu, India
  4. Associate Professor, Department of Artificial Intelligence & Data Science, Sethu Institute of Technology, Thoothukudi, Tamil Nadu, India
  5. Assistant professor, Department of Artificial Intelligence & Data Science, Sethu Institute of Technology, Thoothukudi, Tamil Nadu, India

Abstract

Cancer is a disease that affects millions of people worldwide each year and is characterized by the rapid growth of cells that are abnormal. The outcome is affected since numerous cases are discovered at advanced stages with advancements. Anxiety and depression are two mental health issues that frequently coexist with the illness, worsening its effects on sufferers. There were many medical app that provide guidelines for patients but these apps will not give specific use case. Introducing a specialized chatbot integrated with a website specifically tailored to address cancer-related queries can significantly mitigate several challenges contributing to cancer deaths. Firstly, by providing a platform for individuals to seek information and guidance, the chatbot facilitates early awareness and encourages regular doctor visits, potentially leading to earlier detection and treatment. Secondly, by offering a confidential and non-judgmental space for users to express their concerns, the chatbot helps overcome the stigma associated with cancer, reducing the likelihood of individuals resorting to self-medication or avoiding seeking help altogether. Thirdly, by providing personalized support and resources, the chatbot combats feelings of loneliness and stress commonly experienced by cancer patients, thereby promoting better mental well-being and overall health outcomes. Unlike generic medical chatbots found in applications, this specialized website-integrated chatbot focuses solely on cancer-related queries, ensuring a high level of accuracy and effectiveness, thus serving as a valuable tool in the fight against cancer.

Keywords: Chatbot, User-friendly, Conversation, Appointment, Clinicians

[This article belongs to Journal of Multimedia Technology & Recent Advancements(jomtra)]

How to cite this article: Aaron Sam A. S., Sobana R.S., Lakshmi R., S. Rathnamala, A. Karthickumar.Design and Developing a Cancer Chatbot in Website.Journal of Multimedia Technology & Recent Advancements.2024; 11(01):-.
How to cite this URL: Aaron Sam A. S., Sobana R.S., Lakshmi R., S. Rathnamala, A. Karthickumar , Design and Developing a Cancer Chatbot in Website jomtra 2024 {cited 2024 Apr 04};11:-. Available from: https://journals.stmjournals.com/jomtra/article=2024/view=138634


References

1) US Department of Health and Human Services. Healthy people 2030: Objectives and data. Washington DC: Department of Health and Human Services. Available
at https://health.gov/healthypeople/objectives-and-data Accessed March 1,2023, 2021.
2) O;Halloran J, Miller GC, Britt H. Defining chronic conditions for primary care with ICPC-2. Fam Pract 2004; 21: 381-6.  DOI: 10.1111/imj.15081
3) Kersting K. Machine learning and artificial intelligence: two fellow travelers on the quest for intelligent behavior in machines. Front Big Data. 2018 Nov 19;1:6. doi:10.3389/fdata.2018.00006.
4) Real World Smart Chatbot for Customer Care using a Software as a Service (SaaS) Architecture “Godson Michael D’silva1”, Sanket
Thakare2, Shraddha Mor Available: https://www.docme.ru/doc/2207164/i-smac.2017.8058261
5) Yang L, Ng W, Lei X, Tan S, Wang Z, Yan M, Pargi M, Zhang X, Lim J, Gunasekeran D, Tan F, Lee C, Yeo K, Tan H, Ho H, Tan B, Wong T, Kwek K, Goh R, Liu Y, Ting D. Development and testing of a multi-lingual Natural Language Processing-based deep learning system in 10 languages for COVID-19 pandemic crisis: A multi-center study. Frontiers in Public Health 2023;11
6) Rebelo N, Sanders L, Li K, Chow J. Learning the Treatment Process in Radiotherapy Using an Artificial Intelligence–Assisted Chatbot: Development Study. JMIR Formative Research 2022;6(12):e39443
7) Siddique, S.; Chow, J.C.L. Machine Learning in Healthcare Communication. Encyclopedia 2021, 1, 220–239. [Google Scholar] [ CrossRef ]
8) Lakshmi Sandhya, MD, Nirmala Devi Sreenivasan, MSc, Luxitaa Goenka, MSc, Biswajit Dubashi, MD, DM Randomized Double-Blind Placebo-Controlled Study of Olanzapine for Chemotherapy- https://doi.org/10.1200/JCO.22.01997
9) Mobile applications in oncology: A systematic review of health science database Author links open overlay panelFolch-Ayora Ana  a , Macia-Soler Loreto  b , López-Montesinos Maria José  c , Salas Medina Pablo  a , Moles Julio María Pilar  a , Seva-Llor Ana Myriam  https://doi.org/10.3390/ai4010015
10) Clinical Trials. Study Buddy (an ECA Oncology Trial Advisor) for Cancer Trials URL: https://clinicaltrials.gov/ct2/show/NCT02742740 [accessed 2018-10-23]
11) Ownby RL, Waldrop D, Davenport R, Simonson M, Caballero J, Thomas-Purcell K, Purcell D, Ayala V, Gonzalez J, Patel N, Kondwani K. A mobile app for chronic disease self- management for individuals with low health literacy: A multisite randomized controlled clinical trial. medRxiv. 2023 Apr 3.
12) Jiménez‐Muñoz L, Gutiérrez‐Rojas L, Porras‐Segovia A, Courtet P, Baca‐García E. Mobile applications for the management of chronic physical conditions: a systematic review. Internal medicine journal. 2022 Jan;52(1):21-9.
13) Sandhya L, Devi Sreenivasan N, Goenka L, Dubashi B, Kayal S, Solaiappan M, Govindarajalou R, Kt H, Ganesan P. Randomized double-blind placebo-controlled study of
olanzapine for chemotherapy-related anorexia in patients with locally advanced or metastatic gastric, hepatopancreaticobiliary, and lung cancer. Journal of Clinical Oncology. 2023 May 10;41(14):2617-27.


Regular Issue Subscription Review Article
Volume 11
Issue 01
Received March 11, 2024
Accepted March 29, 2024
Published April 4, 2024