Diagnosis of Cardiotocography for Analysis and Prediction of Treatment during Pregnancy

Bai, Bhagirathi; Harshitha, R; Majumdar, Jharna

doi:10.1109/icacci.2018.8554437

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Importance Of Big Data In Healthcare1

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2020

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“…Analysis of the diseases based on the symptoms makes a difference where the specialists and patients induce to know about the wellbeing conditions at an early stage and accordingly follow preventive measures. Big data provides the strategy of standard information frameworks [2]. The data is too much colossal and dealing with the genuine truths can be a great challenge within the field of Healthcare.…”

Section: Importance Of Big Data In Healthcarementioning

confidence: 99%

Disease Prediction and Performance Analysis using Data Analytics

Shruthi¹

2020

IJETER

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Big Data means the large and the voluminous data collected from various resources. The data helps us in understanding lot many aspects of the particular field. Healthcare is one such field or area which produces huge number of data such as patient's profiles, disease, symptoms and so on. Data Analytics comes into the picture when we have to review, analyze and predict the data. The main objective of the Data Mining Techniques is to make smart decisions, consume less time and being more accurate. In this paper, we have used two different datasets: Pregnancy Diabetes Dataset and Breast Cancer Dataset. The Classification Algorithms like SVM and Random Forest for the top-level classification and Clustering Algorithms like Agglomerative, Gaussian Mixture Model, and Spectral Clustering for further processing. The efficient algorithm is identified by comparing the accuracy results of the different implemented clustering algorithms.

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Section: Importance Of Big Data In Healthcarementioning

confidence: 99%

Disease Prediction and Performance Analysis using Data Analytics

Shruthi¹

2020

IJETER

View full text Add to dashboard Cite

show abstract

Diagnosis of Cardiotocography for Analysis and Prediction of Treatment during Pregnancy

Cited by 1 publication

References 5 publications

Disease Prediction and Performance Analysis using Data Analytics

Disease Prediction and Performance Analysis using Data Analytics

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