Call for Papers:Vol.11 Issue.2

Submission
Last date		 28-Apr-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-2. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Healthcare Data Analytics: Prediction Diseases Outcomes and Patient Care
PaperId: :  23770
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 3 2024
DUI:    16.0415/IJARIIE-23770
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Dr.K.DaneshSRM Institute of Technology
PraveenKumar KSRM Institute of Technology
Dharanesh S SSRM Institute of Technology
Venkatesh SSRM Institute of Technology

Abstract

Information Technology
Keywords: Include relevant keywords related to healthcare data analytics, disease prediction, patient care, and predictive modeling to facilitate searchability and indexing of the paper.
Healthcare data analytics revolutionizes patient care by predicting disease outcomes early, tailoring personalized treatment plans, and optimizing resource allocation based on risk profiles. Proactive care through remote monitoring, efficient operations, and targeted preventive measures contribute to improved outcomes. The system supports clinical decision- making, quality improvement, and cost control, while fostering innovation in healthcare research. This data-driven approach aims to make healthcare more patient-centered, efficient, and responsive to evolving challenges. This paper explores the application of data analytics in predicting disease outcomes and enhancing patient care across various medical specialties. By leveraging comprehensive patient data, including electronic health records, medical imaging, genomic information, and real-time monitoring data, healthcare providers can gain invaluable insights into disease progression, identify risk factors, and anticipate complications before they manifest clinically. Through the analysis of predictive models and machine learning algorithms, clinicians can personalize treatment plans, optimize resource allocation, and intervene preemptively to mitigate adverse health events. Furthermore, the integration of predictive analytics into clinical decision support systems facilitates real-time risk stratification and evidence-based decision-making at the point of care. Ethical, legal, and regulatory considerations surrounding the use of healthcare data analytics are also discussed, emphasizing the importance of ensuring data privacy, addressing algorithm bias, and promoting transparency in clinical practice. Ultimately, healthcare data analytics holds immense promise in advancing precision medicine and fostering patientcentered care, paving the way for a healthier future. Moreover, healthcare data analytics plays a crucial role in population health management by identifying high-risk patient populations and implementing proactive interventions to prevent disease progression and complications. Predictive analytics models can stratify patients based on their risk profiles, enabling healthcare providers to allocate resources more efficiently and prioritize interventions for patients at higher risk.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Dr.K.Danesh, PraveenKumar K, Dharanesh S S, and Venkatesh S. "Healthcare Data Analytics: Prediction Diseases Outcomes and Patient Care" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 3 2024 Page 1041-1052
MLA Dr.K.Danesh, PraveenKumar K, Dharanesh S S, and Venkatesh S. "Healthcare Data Analytics: Prediction Diseases Outcomes and Patient Care." International Journal Of Advance Research And Innovative Ideas In Education 10.3(2024) : 1041-1052.
APA Dr.K.Danesh, PraveenKumar K, Dharanesh S S, & Venkatesh S. (2024). Healthcare Data Analytics: Prediction Diseases Outcomes and Patient Care. International Journal Of Advance Research And Innovative Ideas In Education, 10(3), 1041-1052.
Chicago Dr.K.Danesh, PraveenKumar K, Dharanesh S S, and Venkatesh S. "Healthcare Data Analytics: Prediction Diseases Outcomes and Patient Care." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 3 (2024) : 1041-1052.
Oxford Dr.K.Danesh, PraveenKumar K, Dharanesh S S, and Venkatesh S. 'Healthcare Data Analytics: Prediction Diseases Outcomes and Patient Care', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, 2024, p. 1041-1052. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Healthcare_Data_Analytics__Prediction_Diseases_Outcomes_and_Patient_Care_ijariie23770.pdf (Accessed : ).
Harvard Dr.K.Danesh, PraveenKumar K, Dharanesh S S, and Venkatesh S. (2024) 'Healthcare Data Analytics: Prediction Diseases Outcomes and Patient Care', International Journal Of Advance Research And Innovative Ideas In Education, 10(3), pp. 1041-1052IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Healthcare_Data_Analytics__Prediction_Diseases_Outcomes_and_Patient_Care_ijariie23770.pdf (Accessed : )
IEEE Dr.K.Danesh, PraveenKumar K, Dharanesh S S, and Venkatesh S, "Healthcare Data Analytics: Prediction Diseases Outcomes and Patient Care," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, pp. 1041-1052, May-Jun 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Healthcare_Data_Analytics__Prediction_Diseases_Outcomes_and_Patient_Care_ijariie23770.pdf [Accessed : ].
Turabian Dr.K.Danesh, PraveenKumar K, Dharanesh S S, and Venkatesh S. "Healthcare Data Analytics: Prediction Diseases Outcomes and Patient Care." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 3 ().
Vancouver Dr.K.Danesh, PraveenKumar K, Dharanesh S S, and Venkatesh S. Healthcare Data Analytics: Prediction Diseases Outcomes and Patient Care. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(3) : 1041-1052. Available from: https://ijariie.com/AdminUploadPdf/Healthcare_Data_Analytics__Prediction_Diseases_Outcomes_and_Patient_Care_ijariie23770.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTSInformation TechnologyBHUKYA RAJAKUMAR Download
REAL TIME EMERGENCY VEHICLE DETECTION USING MACHINE LEARNINGComputer Science and EngineeringAravinthkumar A Download
COLLEGIUMBOT: AN AI-DRIVEN CHATBOT FOR ENHANCING STUDENT ENGAGEMENT AND CAMPUS LIFE THROUGH VOICE-BASED INTERACTIONInformation TechnologySIVASANKAR CHITTOOR Download
AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKSInformation TechnologyT SUNDARARAJULU Download
BLOOD GROUP DETECTION USING FINGERPRINTInformation TechnologyN ANITHA Download
SOLAR RADIATION PREDICTION USING MACHINE LEARNINGInformation TechnologyM RAM KUMAR Download
DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAININFORMATION TECHNOLOGYT.SUNDARARAJULU. Download
DEEP CONVOLUTIONAL NEURAL NETWORK FOR ROBUST DETECTION OF OBJECT-BASED FORGERIES IN ADVANCED VIDEOINFORMATION TECHNOLOGYD.VISWASAHITYA Download
SMART CAR PRICE PREDICTOR USING MACHINE LEARNINGINFORMATION TECHNOLOGYS.JASMIN Download
SUPERVISED LEARNING MODEL INSIGHTS AND EVALUATIONInformation TechnologyB. RAJA KUMAR Download
Enhancing Forensic Data Protection: A Robust Storage Framework with Verified Access and Intelligent Key-Based EncryptionComputer Science EngineeringN ANITHA Download
PREDICTING NEONATAL CARDIAC ARREST IN THE CICU: A STATISTICAL MACHINE LEARNING APPROACH FOR EARLY INTERVENTIONINFORMATION TECHNOLOGYD Viswasahithya Download
Real-time driver's drowsiness detection using MlInformation Technology and MLKiran parasram shelke Download
The Role of Information Technology in Improving the Quality of Banking Services at the Al-Jumhouria Bank – Madinah Branch, SabrathaDigital BankingEssam Zaid Shoaib Al-Dabbashi Download
Enhancing the Conceptual Learning on Natural Resources through Battle of the Brains StrategyScienceDaicy C. Deligencia Download
12