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Application of Data Mining Techniques to Healthcare Data

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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An Overview of Data Mining Techniques

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Novel Software Tools for Chemical Diversity

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Analysis of Hospital Infection Surveillance Data

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Statistical Quality Control Methods in Infection Control and Hospital Epidemiology, Part II: Chart Use, Statistical Properties, and Research Issues

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Number-Between g-Type Statistical Quality Control Charts for Monitoring Adverse Events

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Novel software tools for chemical diversity

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A Data Mining System for Infection Control Surveillance

inferredcites →https://doi.org/10.1067/mic.2000.109883openalex-snapshot

Practical risk-adjusted quality control charts for infection control

inferredcites →https://doi.org/10.1080/00224065.1992.12015229openalex-snapshot

Statistical Control Charts Based on a Geometric Distribution

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The Use of Statistical Process Control Charts in Hospital Epidemiology

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Application of Exponential Smoothing for Nosocomial Infection Surveillance

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A review of data mining techniques

inferredcites →https://doi.org/10.2307/30142419openalex-snapshot

Statistical Quality Control Methods in Infection Control and Hospital Epidemiology, Part II: Chart Use, Statistical Properties, and Research Issues

inferredcites →https://doi.org/10.3201/eid0702.010230openalex-snapshot

Feeding Back Surveillance Data To Prevent Hospital-Acquired Infections

inferredcites →https://doi.org/10.3201/eid0906.020794openalex-snapshot

Dead Bird Clusters as an Early Warning System for West Nile Virus Activity

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inferred← citeshttps://doi.org/10.17179/excli2017-911openalex-snapshot

Data mining for the identification of metabolic syndrome status

inferred← citeshttps://doi.org/10.17485/ijst/2016/v9i34/85153openalex-snapshot

Multivariate Data Analysis to Decide a Facility based Health Centre at Emergency

inferred← citeshttps://doi.org/10.17485/ijst/2016/v9i35/99146openalex-snapshot

A Novel Hybrid Model for Diabetic Prediction using Hidden Markov Model, Fuzzy based Rule Approach and Neural Network

inferred← citeshttps://doi.org/10.17577/ijertv7is050239openalex-snapshot

Employing Data Mining Techniques to Predict Occurrence of Thunderstorm Using Hourly Weather Datasets :In the Case of Gondar Control Zone

inferred← citeshttps://doi.org/10.17671/btd.01471openalex-snapshot

Veri Madenciliği: Tıp ve Sağlık Hizmetlerinde Kullanımı ve Uygulamaları

inferred← citeshttps://doi.org/10.17877/de290r-7342openalex-snapshot

Quantitative population-health relationship (QPHR) for assessing metabolic syndrome

inferred← citeshttps://doi.org/10.19044/esj.2020.v16n33p88openalex-snapshot

Uso de Minería de Datos Para la Determinación de Perfiles Socioeconómicos y Sanitarios en la UNCAus

inferred← citeshttps://doi.org/10.19080/jocct.2018.11.555801openalex-snapshot

Machine Learning Methods in Early Diagnosis of Coronary Artery Disease

inferred← citeshttps://doi.org/10.20286/hpr-010251openalex-snapshot

Determining Factors Influencing Length of Stay and Predicting Length of Stay Using Data Mining in the General Surgery Department

inferred← citeshttps://doi.org/10.21203/rs.3.rs-753543/v1openalex-snapshot

Data Classification and Prediction of Type and Outcome of Treatment of Nosocomial Infection Patients: Using Neural Network Algorithm

inferred← citeshttps://doi.org/10.21275/v5i4.nov162522openalex-snapshot

Application of Data Mining in Health Care

inferred← citeshttps://doi.org/10.22034/apjcp.2017.18.6.1531openalex-snapshot

Analyzing a Lung Cancer Patient Dataset with the Focus on Predicting Survival Rate One Year after Thoracic Surgery

inferred← citeshttps://doi.org/10.22201/iij.25940082e.2024.17.18782openalex-snapshot

Guía metodológica para el uso de minería de datos en la Plataforma Nacional de Transparencia

inferred← citeshttps://doi.org/10.22214/ijraset.2022.43209openalex-snapshot

Remote Diagnosis Based on Symptoms

inferred← citeshttps://doi.org/10.22214/ijraset.2023.50650openalex-snapshot

Significant Features and Identification of Heart Disease Prediction by using Data Mining Techniques

inferred← citeshttps://doi.org/10.22531/muglajsci.209994openalex-snapshot

HASTA VERİLERİ ÜZERİNDE VERİ MADENCİLİĞİ UYGULAMASI İLE KALP KRİZİ RİSKİNİN TESPİTİ

inferred← citeshttps://doi.org/10.23956/ijarcsse/v7i3/0135openalex-snapshot

Methodologies of Data Mining in Healthcare: A Inspection

inferred← citeshttps://doi.org/10.2478/dim-2018-00014openalex-snapshot

Big Data in Health Care: Applications and Challenges

inferred← citeshttps://doi.org/10.2478/dim-2018-0014openalex-snapshot

Big Data in Health Care: Applications and Challenges

inferred← citeshttps://doi.org/10.25046/aj040525openalex-snapshot

Prediction of Non-Communicable Diseases Using Class Comparison Data Mining

inferred← citeshttps://doi.org/10.26634/jcc.4.2.14382openalex-snapshot

Improving The Performance Of Knn Classification Algorithms By Using Apache Spark

inferred← citeshttps://doi.org/10.29252/sjimu.25.1.20openalex-snapshot

Heart disease forecast using neural network data mining technique

inferred← citeshttps://doi.org/10.30987/2658-6436-2026-3-58-66openalex-snapshot

MODERN APPROACHES TO OCCUPATIONAL RISK MANAGEMENT BASED ON DECISION-SUPPORT INFORMATION TECHNOLOGIES

inferred← citeshttps://doi.org/10.31695/ijasre.2022.8.8.3openalex-snapshot

Development of Machine Learning-Based Model for Quality Measurement in Maternal, Neonatal and Child Health Services: A Country Level Model for Tanzania

inferred← citeshttps://doi.org/10.32971/als.2019.009openalex-snapshot

MONITORING OF OPERATIONAL LOGISTIC PROCESSES IN GENERAL CARGO WAREHOUSES USING PREDICTIVE ANALYSIS

inferred← citeshttps://doi.org/10.33564/ijeast.2020.v05i01.025openalex-snapshot

DISEASE PREDICTOR: ALGORITHMS TO REDUCE THE FAULTY PREDICTIONS

inferred← citeshttps://doi.org/10.3390/app10175942openalex-snapshot

Applying Machine Learning for Healthcare: A Case Study on Cervical Pain Assessment with Motion Capture

inferred← citeshttps://doi.org/10.3390/app11041913openalex-snapshot

A Vital Sign Analysis System Based on Algorithm Block Broker for Interoperability between Algorithm Development Tools

inferred← citeshttps://doi.org/10.3390/challe10010025openalex-snapshot

A Collaborative Research Exploration of Pollutant Mixtures and Adverse Birth Outcomes by Using Innovative Spatial Data Mining Methods: The DoMiNO Project

inferred← citeshttps://doi.org/10.3390/e21121163openalex-snapshot

Application of Data Mining for the Prediction of Mortality and Occurrence of Complications for Gastric Cancer Patients

inferred← citeshttps://doi.org/10.3390/standards3040028openalex-snapshot

The Expansion of Data Science: Dataset Standardization

inferred← citeshttps://doi.org/10.35940/ijitee.i9364.0710921openalex-snapshot

Symptoms Based Multiple Disease Prediction Model using Machine Learning Approach

inferred← citeshttps://doi.org/10.35940/ijrte.b1411.0982s1119openalex-snapshot

Application of Data Analytics Principles in Healthcare

inferred← citeshttps://doi.org/10.4018/978-1-4666-9882-6.ch006openalex-snapshot

Sensorization to Promote the Well-Being of People and the Betterment of Health Organizations

inferred← citeshttps://doi.org/10.4018/978-1-5225-0075-9.ch009openalex-snapshot

Review of Business Intelligence and Intelligent Systems in Healthcare Domain

inferred← citeshttps://doi.org/10.4018/978-1-5225-1776-4.ch006openalex-snapshot

For Better Healthcare Mining Health Data

inferred← citeshttps://doi.org/10.4018/978-1-5225-5643-5.ch092openalex-snapshot

Review of Business Intelligence and Intelligent Systems in Healthcare Domain

inferred← citeshttps://doi.org/10.4018/978-1-5225-6225-2.ch007openalex-snapshot

Reflecting on Analytics Impacts on Information Architecture Contexts as a Source of Business Modelling for Healthcare Services

inferred← citeshttps://doi.org/10.4018/978-1-5225-8185-7.ch006openalex-snapshot

Heart Disease Diagnosis Using Fuzzy Supervised Learning Based on Dynamic Reduced Features

inferred← citeshttps://doi.org/10.4018/978-1-7998-1204-3.ch003openalex-snapshot

For Better Healthcare Mining Health Data

inferred← citeshttps://doi.org/10.4018/978-1-7998-1204-3.ch021openalex-snapshot

The Role of Artificial Intelligence in Clinical Decision Support Systems and a Classification Framework

inferred← citeshttps://doi.org/10.4018/978-1-7998-1754-3.ch008openalex-snapshot

The Role of Artificial Intelligence in Clinical Decision Support Systems and a Classification Framework

inferred← citeshttps://doi.org/10.4018/978-1-7998-2108-3.ch009openalex-snapshot

Analysis of Heart Disorder by Using Machine Learning Methods and Data Mining Techniques

inferred← citeshttps://doi.org/10.4018/978-1-7998-2460-2.ch006openalex-snapshot

Data Mining Problems Classification and Techniques

inferred← citeshttps://doi.org/10.4018/ijbdah.2018010104openalex-snapshot

Data Mining Problems Classification and Techniques

inferred← citeshttps://doi.org/10.4018/ijccp.2018070103openalex-snapshot

The Role of Artificial Intelligence in Clinical Decision Support Systems and a Classification Framework

inferred← citeshttps://doi.org/10.4018/ijehmc.2014070106openalex-snapshot

Heart Disease Diagnosis Using Fuzzy Supervised Learning Based on Dynamic Reduced Features

inferred← citeshttps://doi.org/10.4018/ijiit.2012010103openalex-snapshot

Intelligent Decision Support System for Osteoporosis Prediction

inferred← citeshttps://doi.org/10.4067/s0718-07642017000300017openalex-snapshot

Diseño de una Técnica Inteligente para Identificar y Reducir los Tiempos Muertos en un Sistema de Producción

inferred← citeshttps://doi.org/10.4088/jcp.08m04795openalex-snapshot

Exploratory Data Mining Analysis Identifying Subgroups of Patients With Depression Who Are at High Risk for Suicide

inferred← citeshttps://doi.org/10.4103/atmph.atmph_258_17openalex-snapshot

A general approach to extract the business intelligence requirements of bio-surveillance systems

inferred← citeshttps://doi.org/10.4236/health.2013.55123openalex-snapshot

Data mining of hospital characteristics in online publication of medical quality information

inferred← citeshttps://doi.org/10.4236/iim.2023.156019openalex-snapshot

MultiDMet: Designing a Hybrid Multidimensional Metrics Framework to Predictive Modeling for Performance Evaluation and Feature Selection

inferred← citeshttps://doi.org/10.4236/ijcns.2022.159011openalex-snapshot

Data Mining as a Technique for Healthcare Approach

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