TY  - JOUR
AU  - Sharma, Rahul
AU  - Sharma, Kapil Dev
AU  - Bijalwan, Anchit
PY  - 2025
DA  - 2025/05/30
TI  - HDSF: A Healthcare Decision Support Framework to Provide A Seamless and Adaptable Patient Experience
JO  - Biomedical Informatics and Smart Healthcare
T2  - Biomedical Informatics and Smart Healthcare
JF  - Biomedical Informatics and Smart Healthcare
VL  - 1
IS  - 1
SP  - 1
EP  - 8
DO  - 10.62762/BISH.2025.352565
UR  - https://www.icck.org/article/abs/BISH.2025.352565
KW  - healthcare decision support framework (HDSF)
KW  - healthcare web application
KW  - online medical services
KW  - machine learning algorithms in healthcare
AB  - Healthcare decision support framework(HDSF), a comprehensive web application framework designed to revolutionize healthcare accessibility and efficiency. HDSF integrates various facilities including online appointment booking, virtual doctor consultations, symptom detection, detailed prescription management, home nursing appointment scheduling, and updates on local health camps with Google Maps integration for navigation. The application employs a robust architecture with a front end developed using HTML, CSS, and Bootstrap, while the back-end leverages Java and Java Servlet technologies. Data management is facilitated by MySQL, and the application is developed within the Eclipse IDE and XAMPP environment. Additionally, HDSF incorporates advanced algorithms such as Apriori for association rule learning and K-Nearest Neighbors (KNN) for classification tasks, enhancing its diagnostic and recommendation capabilities. This paper details the development process, system architecture, and algorithmic implementations, highlighting HDSF's potential to improve patient care and streamline healthcare services.
SN  - 3068-5524
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 

@article{Sharma2025HDSF,
  author = {Rahul Sharma and Kapil Dev Sharma and Anchit Bijalwan},
  title = {HDSF: A Healthcare Decision Support Framework to Provide A Seamless and Adaptable Patient Experience},
  journal = {Biomedical Informatics and Smart Healthcare},
  year = {2025},
  volume = {1},
  number = {1},
  pages = {1-8},
  doi = {10.62762/BISH.2025.352565},
  url = {https://www.icck.org/article/abs/BISH.2025.352565},
  abstract = {Healthcare decision support framework(HDSF), a comprehensive web application framework designed to revolutionize healthcare accessibility and efficiency. HDSF integrates various facilities including online appointment booking, virtual doctor consultations, symptom detection, detailed prescription management, home nursing appointment scheduling, and updates on local health camps with Google Maps integration for navigation. The application employs a robust architecture with a front end developed using HTML, CSS, and Bootstrap, while the back-end leverages Java and Java Servlet technologies. Data management is facilitated by MySQL, and the application is developed within the Eclipse IDE and XAMPP environment. Additionally, HDSF incorporates advanced algorithms such as Apriori for association rule learning and K-Nearest Neighbors (KNN) for classification tasks, enhancing its diagnostic and recommendation capabilities. This paper details the development process, system architecture, and algorithmic implementations, highlighting HDSF's potential to improve patient care and streamline healthcare services.},
  keywords = {healthcare decision support framework (HDSF), healthcare web application, online medical services, machine learning algorithms in healthcare},
  issn = {3068-5524},
  publisher = {Institute of Central Computation and Knowledge}
}