Secure Intelligent Mobile Base Home Doctor Advisor for Babies

The healthcare system has adopted the usage of information technology, including mobile applications, due to its reliability, low cost, and time efficiency. Most people are now familiar with mobile applications, including health care organizations and patients. Secure Intelligent Home Doctor Adviser (SIHDA) mobile application for Babies is developed under the guidelines of the British Medical Association (BMA). The objective of SIHDA is to provide online support and guidance for mothers and infants at home. Unified Modeling Language (UML) has been used to provide design models for the proposed IS application. As a part of this research, we gather software requirements from various SIHDA stakeholders and define system architecture and models. We developed different models, such as Use Case diagram, Activity Diagram, System Sequence Diagram, Entity Relationship Diagram, User Interface, Interactive Diagram, and Class Diagram. The proposed system is secure and intelligent. The system monitors the babies at home. When the baby becomes uncomfortable, it proactively alerts the parents/guardians and advises for immediate action. In addition, the system can determine the vaccination date and type based on the child's age. The system also alarms ambulances from the nearest hospital in case of emergency. The usability of the design models of the developed system was evaluated by software engineers, and the acceptance rate was 77%.

Authors

Institutions

Publication Details

Published
2025-04-05
DOI
https://doi.org/10.1109/icmi65310.2025.11141115
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Secure Intelligent Mobile Base Home Doctor Advisor for Babies

Kalim Qureshi, Ebtisam Alazeme
IoT-based Smart Home Systems
article

Secure Intelligent Mobile Base Home Doctor Advisor for Babies

Kalim Qureshi, Ebtisam Alazeme
article en

Abstract

The healthcare system has adopted the usage of information technology, including mobile applications, due to its reliability, low cost, and time efficiency. Most people are now familiar with mobile applications, including health care organizations and patients. Secure Intelligent Home Doctor Adviser (SIHDA) mobile application for Babies is developed under the guidelines of the British Medical Association (BMA). The objective of SIHDA is to provide online support and guidance for mothers and infants at home. Unified Modeling Language (UML) has been used to provide design models for the proposed IS application. As a part of this research, we gather software requirements from various SIHDA stakeholders and define system architecture and models. We developed different models, such as Use Case diagram, Activity Diagram, System Sequence Diagram, Entity Relationship Diagram, User Interface, Interactive Diagram, and Class Diagram. The proposed system is secure and intelligent. The system monitors the babies at home. When the baby becomes uncomfortable, it proactively alerts the parents/guardians and advises for immediate action. In addition, the system can determine the vaccination date and type based on the child's age. The system also alarms ambulances from the nearest hospital in case of emergency. The usability of the design models of the developed system was evaluated by software engineers, and the acceptance rate was 77%.

Kuwait University (KW)
Openalex Percentile: Top 77%
IoT-based Smart Home Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Secure Intelligent Mobile Base Home Doctor Advisor for Babies — Kalim Qureshi, Ebtisam Alazeme · (2025) | TGRS Research Map | TGRS