Use of data mining to predict human diseases

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Saumya Shandilya
Saumya Shandilya

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In this project, we intend to make an intelligent agent that asks the user about their medical symptoms and tries to predict the most probable diseases/medical conditions that they might be suffering from. Based on the results, it can also direct the user/patient to go to pharmacy or consult a doctor or to go for medical emergency services. It is truly said that “Prevention Is Better Than Cure”. Sometimes diseases like cancers have very minor symptoms in the early stages but if detected this could save a patient’s life. There is no harm in taking preventive medical advice than regretting later. Artificial Neural Networks (ANN) is currently a ‘hot’ research area in medicine and it is believed that they will receive extensive application to biomedical systems in the next few years. An application called the “Instant Physician” trained an auto associative memory neural network to store a large number of medical records. After training, the net can be presented with input consisting of a set of symptoms; it will then find the full stored pattern that represents the “best” diagnosis and treatment.

3 Cites in Articles

References

  1. Filippo Amato,Alberto López,Eladia Peña-Méndez,Petr Vaňhara,Aleš Hampl,Josef Havel (2013). Artificial neural networks in medical diagnosis.
  2. Miss,S Chaitrali,Dr Dangare,Mrs,S Sulabha,Apte (2011). A data mining approach for prediction of heart disease using neural networks.
  3. Kazuyuki Kanai (1997). How a US Patent Protects You, and Does Your Project Qualify for a US Patent?.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Saumya Shandilya. 2018. \u201cUse of data mining to predict human diseases\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 17 (GJCST Volume 17 Issue D1): .

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GJCST Volume 17 Issue D1
Pg. 17- 21
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-D Classification: H.2.8
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v1.2

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January 25, 2018

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English

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In this project, we intend to make an intelligent agent that asks the user about their medical symptoms and tries to predict the most probable diseases/medical conditions that they might be suffering from. Based on the results, it can also direct the user/patient to go to pharmacy or consult a doctor or to go for medical emergency services. It is truly said that “Prevention Is Better Than Cure”. Sometimes diseases like cancers have very minor symptoms in the early stages but if detected this could save a patient’s life. There is no harm in taking preventive medical advice than regretting later. Artificial Neural Networks (ANN) is currently a ‘hot’ research area in medicine and it is believed that they will receive extensive application to biomedical systems in the next few years. An application called the “Instant Physician” trained an auto associative memory neural network to store a large number of medical records. After training, the net can be presented with input consisting of a set of symptoms; it will then find the full stored pattern that represents the “best” diagnosis and treatment.

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Use of data mining to predict human diseases

Saumya Shandilya
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