International Journal on Science and Technology

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A Review on: Assistive Systems for Healthcare and Well-Being with Intelligent Neural Integration Approaches

Author(s) Shubhagman Singh, Shiphali Chaurasia, Kritya Kumar, Dharmendra Chauhan
Country India
Abstract Abstract – Early prediction and identification of disease are now crucial for strengthening healthcare systems are boosting patient outcomes. Transformation of assistive systems for healthcare and well-being into indispensable instruments to successfully forecast diseases through advanced technology integrations such as the use of machine learning, Artificial Intelligence, and neural integration.
This study reviews the emergence of growth in disease prediction techniques, emphasizing how neural integration is an elementary mechanism for analyzing complex biological patterns and signals.
The survey looks into disease prediction as well as medicine recommendation systems that frame personalized pharmaceutical recommendations using Artificial Intelligence methods like machine learning and adaptive UIs. To speed up online pharmacy services with lower errors, and enhance medicine adhesiveness by personalizing user behavior, medical history, and prescription trends, the combination of AI and neural integration with real-time adaptation to each patient's requirement is made possible by improving user experience, better healthcare along with medical results.
Keywords Keywords - Disease Prediction, Neural Integration, Machine Learning, Artificial Intelligence (AI), Medicine Recommendation System, Healthcare System
Field Medical / Pharmacy
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-04-07
Cite This A Review on: Assistive Systems for Healthcare and Well-Being with Intelligent Neural Integration Approaches - Shubhagman Singh, Shiphali Chaurasia, Kritya Kumar, Dharmendra Chauhan - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3330
DOI https://doi.org/10.71097/IJSAT.v16.i2.3330
Short DOI https://doi.org/g9drc8
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