E-ISSN 0976-2833 | ISSN 0975-3583
 

Research Article 


MACHINE LEARNING ALGORITHMS BASED BREAST CANCER PREDICTION MODEL

G S Pradeep Ghantasala, D. Nageswara Rao, Mandal K.

Abstract
Bosom threatening development accepts a basic work within the extended passing rate annually. Course of action
calculations and information mining approaches could be a capable sort of data characterization. Particularly, within
the range of therapeutic services, they are connected to analyze and examine for fundamental authority. Course of
action is one of the foremost noteworthy and essential undertaking in AI and data mining. Around an awesome
bargain of inspect has been organized to relate data mining also AI on different restorative datasets to organize
bosom Cancer. In this examination, we investigate the utilize of different AI calculations in specificNaive Bayes
(NB), J48, artificial neural framework (ANN) and k Closest Neighbors (k-NN) proceeding the Wisconsin Breast
Cancer (one of a kind) datasets. The objective is to look at the judgment of the shown calculations within the data
characterization prepare subordinate on the ampleness of each procedure subordinate on precision, precision,
affectability and expressness.

Key words: Classification, Breast cancer, Data mining, Machine learning,KNN


 
ARTICLE TOOLS
Abstract
PDF Fulltext
How to cite this articleHow to cite this article
Citation Tools
Related Records
 Articles by G S Pradeep Ghantasala
Articles by D. Nageswara Rao
Articles by Mandal K
on Google
on Google Scholar


How to Cite this Article
Pubmed Style

G S Pradeep Ghantasala, D. Nageswara Rao, Mandal K. MACHINE LEARNING ALGORITHMS BASED BREAST CANCER PREDICTION MODEL. J Cardiovasc. Dis. Res.. 2021; 12(4): 50-56. doi:10.31838/jcdr.2021.12.04.04


Web Style

G S Pradeep Ghantasala, D. Nageswara Rao, Mandal K. MACHINE LEARNING ALGORITHMS BASED BREAST CANCER PREDICTION MODEL. http://www.jcdronline.org/?mno=89228 [Access: July 26, 2021]. doi:10.31838/jcdr.2021.12.04.04


AMA (American Medical Association) Style

G S Pradeep Ghantasala, D. Nageswara Rao, Mandal K. MACHINE LEARNING ALGORITHMS BASED BREAST CANCER PREDICTION MODEL. J Cardiovasc. Dis. Res.. 2021; 12(4): 50-56. doi:10.31838/jcdr.2021.12.04.04



Vancouver/ICMJE Style

G S Pradeep Ghantasala, D. Nageswara Rao, Mandal K. MACHINE LEARNING ALGORITHMS BASED BREAST CANCER PREDICTION MODEL. J Cardiovasc. Dis. Res.. (2021), [cited July 26, 2021]; 12(4): 50-56. doi:10.31838/jcdr.2021.12.04.04



Harvard Style

G S Pradeep Ghantasala, D. Nageswara Rao, Mandal K (2021) MACHINE LEARNING ALGORITHMS BASED BREAST CANCER PREDICTION MODEL. J Cardiovasc. Dis. Res., 12 (4), 50-56. doi:10.31838/jcdr.2021.12.04.04



Turabian Style

G S Pradeep Ghantasala, D. Nageswara Rao, Mandal K. 2021. MACHINE LEARNING ALGORITHMS BASED BREAST CANCER PREDICTION MODEL. Journal of Cardiovascular Disease Research, 12 (4), 50-56. doi:10.31838/jcdr.2021.12.04.04



Chicago Style

G S Pradeep Ghantasala, D. Nageswara Rao, Mandal K. "MACHINE LEARNING ALGORITHMS BASED BREAST CANCER PREDICTION MODEL." Journal of Cardiovascular Disease Research 12 (2021), 50-56. doi:10.31838/jcdr.2021.12.04.04



MLA (The Modern Language Association) Style

G S Pradeep Ghantasala, D. Nageswara Rao, Mandal K. "MACHINE LEARNING ALGORITHMS BASED BREAST CANCER PREDICTION MODEL." Journal of Cardiovascular Disease Research 12.4 (2021), 50-56. Print. doi:10.31838/jcdr.2021.12.04.04



APA (American Psychological Association) Style

G S Pradeep Ghantasala, D. Nageswara Rao, Mandal K (2021) MACHINE LEARNING ALGORITHMS BASED BREAST CANCER PREDICTION MODEL. Journal of Cardiovascular Disease Research, 12 (4), 50-56. doi:10.31838/jcdr.2021.12.04.04





Most Viewed Articles
  • Massive pericardial effusion as the only manifestation of primary hypothyroidism
    Radheshyam Purkait , Anand Prasad , Ramchandra Bhadra , Arindam Basu
    J Cardiovasc. Dis. Res.. 2013; 4(4): 248-250
    » Abstract » doi: 10.1016/j.jcdr.2014.01.001

  • Impact of light exercises in selective cognitive response andhandballshooting accuracy performance in Mesopotamia handball players
    Ahuda Naji Zaidan, Qusay Mohammed Hamdan, Mohammed Kadhim Saleh, Samer Saadoun Abd El , Rida
    J Cardiovasc. Dis. Res.. 2021; 12(2): 141-145
    » Abstract » doi: 10.31838/jcdr.2021.12.02.18

  • Reduced nitrate level in individuals with hypertension and diabetes
    Shiekh Gazalla Ayub, Taha Ayub, Saquib Naveed Khan, Rubiya Dar, Khurshid Iqbal Andrabi
    J Cardiovasc. Dis. Res.. 2011; 2(3): 172-176
    » Abstract » doi: 10.4103/0975-3583.85264

  • Factor analysis of risk variables associated with metabolic syndrome in adult Asian Indians
    Mithun Das, Susil Pal, Arnab Ghosh
    J Cardiovasc. Dis. Res.. 2010; 1(2): 86-91
    » Abstract » doi: 10.4103/0975-3583.64442

  • Typical coronary artery aneurysm exactly within drug-eluting stent implantation region in a patient with rheumatoid arthritis
    Ying Zheng, Jing-yuan Mao
    J Cardiovasc. Dis. Res.. 2012; 3(4): 329-331
    » Abstract » doi: 10.4103/0975-3583.102725

  • Most Downloaded
  • Assessment of the Knowledge and Attitude of Male Students towards Smoking Based on Health Belief Model
    Rafat Rezapour-Nasrabad, Fatemeh Izadi, Atousa Karimi, Fateme Shariati Far, Khatereh Rostami, Amin Kiani, Afsaneh Ghasemi
    J Cardiovasc. Dis. Res.. 2020; 11(4): 116-121
    » Abstract » doi: 10.31838/jcdr.2020.11.04.20

  • Diabetic Retinopathy, The Automated of Detection of Retinal Fundus Images with Probabilistic Neural Networks (PNN)
    Elvina Amanda, Marischa Elveny, Rahmad Syah
    J Cardiovasc. Dis. Res.. 2020; 11(4): 302-306
    » Abstract » doi: 10.31838/jcdr.2020.11.04.54

  • Investigation of the Relationship between Social Support and Adherence to Treatment among Elderly Individuals with Type II Diabetes Mellitus
    Afsaneh Ghasemi, Rafat Rezapour-Nasrabad, Leila Nikrouz, Fatemeh Izadi, Atousa Karimi, Fateme Shariati Far, Zahra Khiali
    J Cardiovasc. Dis. Res.. 2020; 11(4): 122-129
    » Abstract » doi: 10.31838/jcdr.2020.11.04.21

  • Cardio-Vascular Disease Classification Using Stacked Segmentation Model and Convolutional Neural Networks
    G. Charlyn Pushpa Latha, S. Sridhar, S. Prithi, T. Anitha
    J Cardiovasc. Dis. Res.. 2020; 11(4): 26-31
    » Abstract » doi: 10.31838/jcdr.2020.11.04.05

  • The Prediction of the Bisoprolol Effectiveness in Patients with Stable Coronary Artery Disease with Post-Infarction Cardiosclerosis
    Svetlana S. Bunova, Ol'ga V. Zamahina, Nikolaj A. Nikolaev, Nina I.Zhernakova, Andrey A.Grishchenko
    J Cardiovasc. Dis. Res.. 2020; 11(4): 105-109
    » Abstract » doi: 10.31838/jcdr.2020.11.04.18

  • Most Cited Articles