Automated Patient History Taking

Sabil, Azmayen Fayek; Barshat, Tasfia; Hossain, Abir

dc.contributor.author	Sabil, Azmayen Fayek
dc.contributor.author	Barshat, Tasfia
dc.contributor.author	Hossain, Abir
dc.date.accessioned	2025-03-11T06:18:23Z
dc.date.available	2025-03-11T06:18:23Z
dc.date.issued	2024-07-04
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dc.identifier.uri	http://hdl.handle.net/123456789/2382
dc.description	Supervised by Mr. Shohel Ahmed, Assistant Professor, Department of Computer Science and Engineering (CSE) Islamic University of Technology (IUT) Board Bazar, Gazipur, Bangladesh This thesis is submitted in partial fulfillment of the requirement for the degree of Bachelor of Science in Software Engineering, 2024	en_US
dc.description.abstract	Traditional patient history-taking, often hindered by its time-consuming nature, in- completeness, and vulnerability to subjective bias, hampers accurate diagnoses and personalized care. This paper explores the limitations of the current paradigm and proposes novel approaches with the potential to provide a detailed understanding of a patient’s health profile, enabling more informed medical decisions and improved healthcare delivery. Building upon the foundations of Computerized History Taking (CHT), our work proposed an Automated Patient History-taking framework to ad- dress these limitations. This framework utilizes an interactive chat system and struc- tured questioning to gather comprehensive data, minimizing errors and omissions. Data analysis uncovers hidden patterns, enabling early disease detection, personal- ized treatments and enhanced accessibility.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.title	Automated Patient History Taking	en_US
dc.type	Thesis	en_US