Android application developed to extend health monitoring device range and real-time patient tracking

Szakacs-Simon, Peter; Moraru, Sorin-Aurel; Perniu, Liviu

doi:10.1109/icccyb.2013.6617624

Cited by 11 publications

(8 citation statements)

References 16 publications

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“…As the advancements expand, the requirement for controlling parameters and sensing it in an effective and real time manner [8] turns into a need of great importance. Overshooting the edges for these parameters will lead to disastrous consequences.…”

Section: Introductionmentioning

confidence: 99%

An Mobile Android Voice Driven Supervisory System for an Experimental Multi-Tasking Relay Process

appan¹

2012

IJIRSET

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More current solid fluid administrations are developing in an extremely fast stage yet there are issues which are left unsolved. One such issue is controlling a real time process in profoundly inflammable environment like naphtha stream funnel, Jet fuel stockpiling compartments and so on. One such answer for the above issue is remote control of the stream valve utilizing GSM handset circuit started through voice. The parameters are checked by microcontroller and send the short message service to client in the event of any variations from the normal. The client if wishes can control the framework by a voice charge through android telephone.

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Section: Introductionmentioning

confidence: 99%

An Mobile Android Voice Driven Supervisory System for an Experimental Multi-Tasking Relay Process

appan¹

2012

IJIRSET

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“…If all cases (step (2)) in T belong to a same class Cj (or the number of cases in T is less than a certain value) then the node is a leaf, with associated class Cj (resp., the most frequent class). The classification [22] error of the leaf is the weighted sum of the cases in T whose class is not Cj (resp., the most frequent class). If T contains cases belonging to two or more classes (step (3)), then the information gain of each attribute is calculated.…”

Section: C45 Algorithmmentioning

confidence: 99%

“…For i = [1; s], if Ti is empty, (step (7)) the child node is directly set to be a leaf, with associated class the most frequent class at the parent node and classification [22] error 0.…”

Section: C45 Algorithmmentioning

confidence: 99%

“…Classification [22] consists of predicting a certain outcome based on a given input. In order to predict the outcome, the algorithm processes a training set containing a set of attributes and the respective outcome, usually called goal or prediction attribute.…”

Section: Classification Algorithmmentioning

confidence: 99%

“…Now the preprocessed data is classified into a decision tree [3] to predict the status of a person whether diabetic or not using the algorithm(C4.5) [25]. The user enters the details to know his results for the test into an android app [22] …”

Section: System Architecturementioning

confidence: 99%

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Android Application to Predict and Suggest Measures for Diabetes Using DM Techniques

Priya¹,

Kavitha²,

Monika³

2015

IJCATR

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Data Mining is an analytic process designed to explore data in search of consistent patterns and systematic relationships between variables, and then to validate the results by applying the patterns found to a new subset of data. Data mining is often described as the process of discovering patterns, correlations, trends or relationships by searching through a large amount of data stored in repositories, databases, and data warehouses. Diabetes, often referred to by doctors as diabetes mellitus, describes a group of metabolic diseases in which the person has high blood [3] glucose (blood sugar), either because insulin production is insufficient, or because the body's cells do not respond properly to insulin, or both. This project helps in identifying whether a person has diabetes or not, if predicted diabetic[4] the project suggest measures for maintaining normal health and if not diabetic it predicts the risk of getting diabetic. In this project Classification algorithm was used to classify the Pima Indian diabetes dataset. Results have been obtained using Android Application.

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Aadhaar Card-Based Android Application for Patient Monitoring System

Sharma¹,

Raizada²,

Siddiqui³

et al. 2018

Advances in Intelligent Systems and Computing

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Android application developed to extend health monitoring device range and real-time patient tracking

Cited by 11 publications

References 16 publications

An Mobile Android Voice Driven Supervisory System for an Experimental Multi-Tasking Relay Process

An Mobile Android Voice Driven Supervisory System for an Experimental Multi-Tasking Relay Process

Android Application to Predict and Suggest Measures for Diabetes Using DM Techniques

Aadhaar Card-Based Android Application for Patient Monitoring System

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