|
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter
Copyright Infringement Claims
Indexing Partner
|
Published Paper Details
|
|
| Paper Title: | MULTIPLE DISEASE DIAGNOSIS BASED ON SYMPTOMS USING PRE- CLASSIFICATION |
| Authors Name: | ANIMIREDDY GUNASEKHAR , AMRITHA VARSHINI GURUPRASAD , MR.V. ETHIRAJULU |
| Unique Id: | IJSDR2304013 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | With the advancement of gadget learning within the biomedical and fitness care groups, correct insight into medical data is riding early disease detection, patient care and community offerings. When the exceptional of clinical data is imperfect, the accuracy of the observe is reduced. In addition, unique areas display specific manifestations of sure nearby diseases, which lead to poor ailment prognosis.The proposed device provides system getting to know algorithms to efficiently predict the incidence of diverse diseases in societies with common diseases. Experiments with changed scoring models on real clinic facts accrued. To conquer the issues of incomplete facts, the latent aspect version is used to retrieve the missing information. This is an experiment in persistent local cerebral infarction disease. Using based and unstructured facts from the health facility, it makes use of a system gaining knowledge of algorithm. It predicts probably diseases by reading datasets which include Covid-19, continual kidney ailment, and coronary heart disorder. To our knowledge, in the discipline of big records analytics, no present paintings makes a speciality of both sorts of statistics.With numerous common assessment algorithms, the calculation accuracy of our proposed algorithm reaches ninety four.8%, and the convergence price is better than the disease hazard prediction set of rules using machine mastering. |
| Keywords: | Disease prediction, Machine learning, Logistic Regression, Data Collection |
| Cite Article: | "MULTIPLE DISEASE DIAGNOSIS BASED ON SYMPTOMS USING PRE- CLASSIFICATION ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.65 - 67, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304013.pdf |
| Downloads: | 000337211 |
| Publication Details: | Published Paper ID: IJSDR2304013 Registration ID:204885 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.33578 Page No: 65 - 67 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijsdr.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
Track Paper
Important Links
Conference Proposal
ISSN
 |
 |
DOI (A digital object identifier)
  Providing A digital object identifier by DOI How to GET DOI and Hard Copy Related |
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
 |
 |
 |
Social Media
Indexing Partner |
|||
| Copyright © 2024 - All Rights Reserved - IJSDR | |||
Facebook Twitter Instagram LinkedIn