Towards Hypothesis Generation for mHealth Applications: A Data Driven Approach

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The rapid expansion of digital health research has led to the integration of Natural Language Processing (NLP) with traditional qualitative methodologies. While this convergence, remains promising in an exploratory phase, often demanding substantial resources due to a lack of standardized techniques. The mHealth domain, which encompasses a broad spectrum of healthcare applications, has undergone a transformation that now includes virtual consultations, remote monitoring, medication management, and health education. These advancements not only empower healthcare consumers to proactively improve their health outcomes but also facilitate healthcare providers in delivering immediate and responsive services. Overcoming challenges in this realm and harnessing these opportunities can potentially accelerate the integration of NLP methods into mHealth applications. The proposed data driven hypothesis generation analyze the existing literature of mHealth applications based in India and aims to identify patterns and gaps in knowledge that can form the basis for generating a novel hypotheses using computational techniques. The work mainly makes use of scientific literature corpus and embedded topic model to capture the importance of words in the document and find their semantic relations. Thus the generated hypothesis can guide further research, experimental design, or empirical investigations, driving data-driven discoveries in the field.

Original languageEnglish
Title of host publicationTransfer, Diffusion and Adoption of Next-Generation Digital Technologies - IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023, Proceedings
EditorsSujeet K. Sharma, Bhimaraya Metri, Yogesh K. Dwivedi, Banita Lal, Amany Elbanna
PublisherSpringer Science and Business Media Deutschland GmbH
Pages89-100
Number of pages12
ISBN (Print)9783031501876
DOIs
Publication statusPublished - 2024
EventIFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023 - Nagpur, India
Duration: 15-12-202316-12-2023

Publication series

NameIFIP Advances in Information and Communication Technology
Volume697 AICT
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

ConferenceIFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023
Country/TerritoryIndia
CityNagpur
Period15-12-2316-12-23

All Science Journal Classification (ASJC) codes

  • Information Systems and Management

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