1 option
Intelligent information retrieval for healthcare systems / Parma Nand [and three others], editors.
- Format:
- Book
- Series:
- Internet of Things and Machine Learning
- Internet of Things and machine learning
- Language:
- English
- Subjects (All):
- Medical informatics.
- Physical Description:
- 1 online resource (268 pages)
- Place of Publication:
- New York : Nova Science Publishers, Inc., [2021]
- Summary:
- "Ontology-based information extraction is considered as an effective method to improve the performance of information extraction (IE) systems. For research and disbursal of customized healthcare services, a major challenge is to efficiently retrieve and analyze the individual patient data from a large volume of heterogeneous data over a long span of time. This requires effective ontology-based information retrieval approaches for clinical information systems. This book is an attempt to highlight the key advances in ontology-based information retrieval techniques especially in the healthcare domain. The varied chapters attempt to uncover the current challenges in the application of ontology-based information retrieval techniques to the healthcare systems. This book is the first of its kind that highlights the ontology-driven information retrieval mechanisms and techniques being applied to healthcare as well as clinical information systems. It can serve as a textbook for courses in healthcare systems. It can also serve as a reference book to medical practitioners and researchers involved in implementing as well as providing customized health care solutions to patients"-- Provided by publisher.
- Contents:
- Intro
- Contents
- Preface
- Chapter 1
- Ontology-Based Information Retrieval System Using Blockchain for Reducing Cost of Customized Healthcare System
- Abstract
- Introduction
- Today and Tomorrow
- Vision
- Internet of Things
- Risks in IoT
- Blockchain
- Multi-Sensor System
- Sensors and their Parameters
- Architecture of the Information Retrieval System
- Data Transmission and Information Retrieval in E-Health Record
- Types of Contracts
- Cloud and Security
- User Interface of Patients for Information Retrieval
- Analytics of Data
- Clinical Lab Information System as Business Model
- General Partnership
- Field Hospitals vs Critical Access Hospitals
- Practices in Value-Based Primary Care
- Conclusion
- References
- About the Authors
- Chapter 2
- Ontological Multi-Agent System for Pandemic Zone Classification and Automated Policy Formulation
- Analysis and Design of Ontological MAS for COVID-19
- Software Agents Development
- Implementation of the Model Using OntologyPopulatorAgent
- Social Policies
- Zone Selection Policies
- Containment Policies
- Penal Provisions and Legal Policies [29, 30]
- Reasoner Agent
- Conclusion and Future Scope
- Chapter 3
- An Overview of Ontology-Based Artificial Intelligence Services in Health Care Systems
- Applications of AI Services
- Need and Challenges of AI Services
- Challenges in AI Services
- Communication Framework for the AI Services
- Ontology Services in Health Care
- Security and Privacy Issues in Health Care
- Chapter 4
- DLCDI: A Novel Deep Learning Mechanism for Chronic Diseases Identification
- Literature Survey
- Review of Various Deep Learning Models
- Review of Various Cellular Automata.
- Review of Various Protein-Coding Region (PCR) Identification Systems
- Decision Tree (DT)
- Neural Networks (NN)
- Review of Various Heart Attack Prediction Systems
- Review of Various Cancer Prediction Systems
- Review of Different Diabetes Prediction Systems
- Summary of the Literature Survey
- Design of DLCDI
- Results and Discussion
- Protein Coding Region Prediction (PCR)
- Cancer Prediction through DLCDI
- Sample Output of NLCA
- Heart Disease/Attack Prediction through DLCDI
- Diabetes -II Prediction through DLCDI
- Sample Output of MA
- Chapter 5
- Novel Approach to Health Monitoring System
- Literature Review
- Methodology
- Concept of PPG (Photoplethysmography)
- Pulse Sensor
- Applications of a Pulse Sensor
- Temperature Sensor
- Arduino Pro Mini Controller
- HC-06 Bluetooth Module
- ESP8266 Node MCU
- Blynk Application for IOS/Android Users
- List of Widgets
- Arduino Software
- System Design/Architecture
- Working of a Heartbeat Sensor
- Result and Discussion
- Chapter 6
- IoT in Healthcare - Applications, Benefits, Challenges, Real-Time Uses, and Cases
- Need of IoT Technology in Healthcare
- An Analysis of the Internet of Things in the Healthcare Environment
- Effectiveness of Healthcare Based on IoT and Applications
- Applications
- RemotePatient Monitoring
- Wearable Healthcare Device
- Hand Hygiene Monitoring
- Smart Wheelchair
- Iot Architecture for Healthcare Networks
- mHEALTH
- Protocol Based on Constrained Application Architecture
- 6LoWPAN Healthcare Architecture System
- Standard Health Architecture Based on IEEE 11073
- Use Cases General Categorisation for IoT Based Healthcare System
- Long Term Case
- Acute Case
- Community-Based Case.
- Human Tracking or Tracking of the Humans
- Things Trackings or Tracking of Things
- Tracking the Things and Humans
- Real-World Use Case For IoT in Health Care
- Use Case of Alcohol-Habituation
- Victim's Having Alzheimer's Disease
- Use Cases of Safety and Patient
- Requirements of Quality for IoT in Healthcare Applications
- Requirements for the Privacy
- Requirements for the Safety
- Requirements for the Caring
- Related Study and Literature Survey
- Proposed Model for Healthcare System
- Challenges in IoT Based Healthcare System
- Discussion
- Chapter 7
- Data Privacy and Security in Healthcare
- Data Privacy
- Healthcare Data Breaches
- Data Breaches by the Year
- Data Breaches: Based on Type of Breach
- Hacking Incidents
- Unauthorized Access/Disclosures
- Loss/Theft of PHI and Unencrypted ePHI
- Methods to Protect Healthcare Data
- Healthcare Staff Must Be Educated
- Access to Database and Systems to Be Restricted
- Log, Monitor, and Control Usage
- Data to Be Encrypted
- Devices in Use to Be Secured
- Regular Risk Assessments to Be Conducted
- To Backup Data to an Assured, Off-Track Place
- Laws for Data Protection in Several Countries
- General Data Protection Regulation
- Case Studies
- Anthem Blue Cross
- Excellus Blue Cross
- Chapter 8
- Examining the Effect of Ashes of Vedic Homa and Its Scientific Impacts on AQI with Social Perspectives: An ML and CPS Based Experimental Study for Delhi-NCR Zone amidst Pandemic Threats
- Medicinal Plants
- Yagya and Its Science
- Cow Dung Based Kanda in Home and Its Ashes Purifies Water
- Agnihotra Ashes
- SARS COVID-19
- Mantra and Its Effects
- Methodologies and Experiment Set Up
- Outdoor Sensors.
- Smart Air Quality Monitor
- Supports in Continuous Ambient Air Quality and Weather Monitoring
- Manages Your Air with Dashboard
- Sensor and Convenient Installation
- Result Analysis and Discussions
- Indoor Study Results
- Environment Purification through Yajna
- Analysis of Results
- Recommendations
- Novelty of Work
- Future Research Directions and Limitations
- Chapter 9
- NLP: Smart Texting System Based on Android
- Android Devices
- Text to Speech Recognition
- Speech to Text Recognition
- Brief History
- Natural Language Processing (NLP)
- Applications of NLP- Speech to Text and Vice Versa
- Unstructured Data
- Approaches in Natural Language Processing
- Examples of Unstructured Data
- Three Use Cases for Unstructured Data
- Data Mining
- Challenges in Unstructured Data Mining
- Query Support Systems
- Three Types of Search Queries
- Online Transaction Processing System
- Decision Support System (DSS)
- Documents and Data Conversion
- Different Types of File Format for Businesses
- Document Conversion Services
- Chapter 10
- Storing and Maintaining the Smart Healthcare in IoT Environment
- Proposed Work
- Storing Data Using Blockchain
- Simulation and Evaluation of the Work
- Availability of Data
- About the Editors
- Index
- Blank Page.
- Notes:
- Includes bibliographical references and index.
- Description based on print version record.
- Other Format:
- Print version: Nand, Parma Intelligent Information Retrieval for Healthcare Systems
- ISBN:
- 9781685073657
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.