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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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Issue: May 2024
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| Paper Title: | HYBRID MODEL TO PREDICT ARRHYTHMIA IN CANCER PATIENT USING MACHINE LEARNING |
| Authors Name: | P.Sasidhar , P.Manoj Kumar , K.Nikhith Raju , Megha.S |
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| Author Reg. ID: |
IJNRD_190986
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| Published Paper Id: | IJNRD2305230 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | Arrhythmia is irregularity in heart beat may be harmless or life threatening. Heart diseases are the important health problem and main cause of the death of the patient. Heart disease early detection and medical therapy can stop patients from passing away suddenly. Cancer patients often experience arrhythmia, a condition characterized by an irregular heartbeat. Arrhythmia can lead to serious health complications and even death if not managed properly. Early detection and prediction of arrhythmia can aid in timely medical intervention and improve patient outcomes. In this study, a hybrid model is proposed to predict arrhythmia in cancer patients using clinical and electrocardiogram (ECG) data. The results suggest that the hybrid model has the potential to be an effective tool for early detection and prediction of arrhythmia in cancer patients, thus enabling timely medical intervention and improved patient outcomes. |
| Keywords: | Arrhythmia, Detection, hybrid Model |
| Cite Article: | "HYBRID MODEL TO PREDICT ARRHYTHMIA IN CANCER PATIENT USING MACHINE LEARNING", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.c223-c228, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305230.pdf |
| Downloads: | 000118759 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2305230 Registration ID: 190986 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: c223-c228 Country: Bengaluru, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305230 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305230 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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