[PDF] Top 20 Disease Predictor: A Disease Prediction App
Has 10000 "Disease Predictor: A Disease Prediction App" found on our website. Below are the top 20 most common "Disease Predictor: A Disease Prediction App".
Disease Predictor: A Disease Prediction App
... Android Studio, ADT plugin and Google Android SDK have been used to develop Disease Predictor app for designing and developing this app. Android Studio is an integrated development environment ... See full document
6
Prediction and Analysis of Heart Disease
... heart disease with different attribute and different records by increasing classes in this table 1, training records is fixed ...heart disease appears to be a K-Mean and J48 classifier implemented on ... See full document
6
The usefulness of chief complaints to predict severity, ventilator dependence, treatment option, and short-term outcome of patients with Guillain-Barré syndrome: a retrospective study
... early predictor of the severity, treatment option and prognosis of ...devastating disease mainly characterised by progressively symmetrical flaccid paralysis [1, ...early prediction of the ... See full document
8
Heart Disease Prediction using Machine Learning
... In the research paper named Smartphone based ischemic heart disease (heart attack) risk prediction using clinical data and data mining approaches,a prototype design [2] M. Raihan, Saikat Mondal, Arun More, ... See full document
6
An Efficient Approach To Track Rbc And Detect Blood Disease Using Blood Samples
... In this work, the count of WBCs and RBCs from the microscopic blood images is calculated and detects blood disease with the prediction of disease with health report generation. If the automatic cell ... See full document
5
Psychological distress as a predictor of coronary heart disease
... A separate GHQ sleep scale was created using Likert scores from the two sleep questions from the GHQ-30, at Phase 1 and 3. These were divided into approximate quartiles based on distribution within sexes across the whole ... See full document
277
Tomato Leaf Disease Prediction using Convolutional Neural Network
... of disease detection and prediction for tomato plant leaves has been proposed using deep learning ...[plant, disease] combinations, including healthy tomato ...and prediction problems has been ... See full document
5
Disease Prediction System
... “Predicting Disease by Using Data Mining Based on Healthcare Information System” [4] applies the information mining process to predict high blood pressure from patient medical records with eight alternative ...the ... See full document
7
A Machine Learning Approach for Prediction of Diseases Using Unstructured Datasets
... A. Structured Data(S-data): using traditional machine learning algorithm, i.e., NB, KNN and DT algorithm to predict the risk of the disease. The classification of NB is a simple probabilistic classifier. ... See full document
6
Disease Prediction with Simulated Annealing
... Several approaches for implementing medical diagnosis system have been addressed in the literature. In Ref. [1], the authors introduced the fuzzy logic approach for medical diagnosis system. The results and outcomes from ... See full document
11
Hyperparathyroidism as a Predictor of Erythropoietin Resistance in Chronic Kidney Disease
... This disease has been generally reported in three clinical forms: severe malignant infantile autosomal recessive inheritance form; intermediate mild autosomal recessive form with clinical manifestations similar to ... See full document
5
1. Cardiovascular disease prediction using genetic algorithm and neuro-fuzzy system
... Soft Computing and AI techniques have been widely used in clinical decision support systems for prediction and diagnosis of various diseases with good accuracy. These techniques have been very effective in ... See full document
7
Title: A Radial Segmented Feature Based PNN Model for Retinal Disease
... for disease identification and ...glaucoma disease identification. Author identified the circular region for disease region extraction using mathematical ...Glaucoma disease identification for ... See full document
6
Hyperparathyroidism as a Predictor of Erythropoietin Resistance in Chronic Kidney Disease
... In this study, we sought to observe a potential correlation that has not been extensively studied in the selected patient population. A number of previous studies have demonstrated a reduction in EPO dose requirements ... See full document
7
Hyperparathyroidism as a Predictor of Erythropoietin Resistance in Chronic Kidney Disease
... In Nigeria, out of the seventeen universities accredited for pharmacy programme, only two are located in the Northwest geopolitical zone (PCN, 2016) and a pharmacy-based chronotherapy module is yet to be adopted in the ... See full document
10
A Effective Disease Prediction Model Using Enhanced Principle Component Analysis And Mdrp Algorithm
... In this paper (Shakuntala Jatav, 2018) have gives the contents based on‖ An Algorithm for Predictive Data Mining Approach in Medical Diagnosis‖. It contains large and composite data is required extremely interesting ... See full document
8
Heart Disease Prediction and Detection
... Heart disease refers to disease of heart blood vessel system within ...Heart disease is a leading cause of death worldwide from past 15 ...Heart disease is the most common cause of death ... See full document
7
Chronic Disease Risk Prediction Models and their Impacts on Behavioural and Health Outcomes: A Systematic Review and Meta-analysis
... risk prediction models may have an impact on reducing systolic blood pressure amongst patients, though caution must be used when generalizing the results due to concerns of representativeness, heterogeneity, and ... See full document
171
AN EFFICIENT CLASSIFICATION ALGORITHM FOR THE PREDICTION OF DISEASES USING DATA- MINING
... Different disease prediction defines with the task of that disease prediction which has to be cured at an utmost ...diabetic disease is more dangerous than that of the non-dependent ... See full document
6
Heart Disease Risk Predictor
... Cardiovascular disease is one of the focused areas is medical area because its origins sickness and death amongst the population of the entire ...in prediction and decision of Cardiovascular disease. ... See full document
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