A Study of a Health Resources Management Platform Integrating Neural Networks and DSS Telemedicine for Homecare Assistance
The proposed paper is related to a case of study of an e-health telemedicine system oriented on homecare assistance and suitable for de-hospitalization processes. The proposed platform is able to transfer efficiently the patient analyses from home to a control room of a clinic, thus potentially redu...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-07-01
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| Series: | Information |
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| Online Access: | http://www.mdpi.com/2078-2489/9/7/176 |
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| author | Alessandro Massaro Vincenzo Maritati Nicola Savino Angelo Galiano Daniele Convertini Emanuele De Fonte Maurizio Di Muro |
| author_facet | Alessandro Massaro Vincenzo Maritati Nicola Savino Angelo Galiano Daniele Convertini Emanuele De Fonte Maurizio Di Muro |
| author_sort | Alessandro Massaro |
| collection | DOAJ |
| description | The proposed paper is related to a case of study of an e-health telemedicine system oriented on homecare assistance and suitable for de-hospitalization processes. The proposed platform is able to transfer efficiently the patient analyses from home to a control room of a clinic, thus potentially reducing costs and providing high-quality assistance services. The goal is to propose an innovative resources management platform (RMP) integrating an innovative homecare decision support system (DSS) based on a multilayer perceptron (MLP) artificial neural network (ANN). The study is oriented in predictive diagnostics by proposing an RMP integrating a KNIME (Konstanz Information Miner) MLP-ANN workflow experimented on blood pressure systolic values. The workflow elaborates real data transmitted via the cloud by medical smart sensors and provides a prediction of the patient status. The innovative RMP-DSS is then structured to enable three main control levels. The first one is a real-time alerting condition triggered when real-time values exceed a threshold. The second one concerns preventative action based on the analysis of historical patient data, and the third one involves alerting due to patient status prediction. The proposed study combines the management of processes with DSS outputs, thus optimizing the homecare assistance activities. |
| first_indexed | 2024-04-13T08:11:45Z |
| format | Article |
| id | doaj.art-9a257171664f4f65ae5ba980b7a864b5 |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-04-13T08:11:45Z |
| publishDate | 2018-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-9a257171664f4f65ae5ba980b7a864b52022-12-22T02:54:57ZengMDPI AGInformation2078-24892018-07-019717610.3390/info9070176info9070176A Study of a Health Resources Management Platform Integrating Neural Networks and DSS Telemedicine for Homecare AssistanceAlessandro Massaro0Vincenzo Maritati1Nicola Savino2Angelo Galiano3Daniele Convertini4Emanuele De Fonte5Maurizio Di Muro6Dyrecta Lab srl, Vescovo Simplicio 45, 70014 Conversano (BA), ItalyDyrecta Lab srl, Vescovo Simplicio 45, 70014 Conversano (BA), ItalyDyrecta Lab srl, Vescovo Simplicio 45, 70014 Conversano (BA), ItalyDyrecta Lab srl, Vescovo Simplicio 45, 70014 Conversano (BA), ItalyDyrecta Lab srl, Vescovo Simplicio 45, 70014 Conversano (BA), ItalyDyrecta Lab srl, Vescovo Simplicio 45, 70014 Conversano (BA), ItalyAssistenza Socio Sanitaria S.C.S.P.A.-Villa Puricelli, Piazza Puricelli 2, 21020 Bodio Lomnago (VA), ItalyThe proposed paper is related to a case of study of an e-health telemedicine system oriented on homecare assistance and suitable for de-hospitalization processes. The proposed platform is able to transfer efficiently the patient analyses from home to a control room of a clinic, thus potentially reducing costs and providing high-quality assistance services. The goal is to propose an innovative resources management platform (RMP) integrating an innovative homecare decision support system (DSS) based on a multilayer perceptron (MLP) artificial neural network (ANN). The study is oriented in predictive diagnostics by proposing an RMP integrating a KNIME (Konstanz Information Miner) MLP-ANN workflow experimented on blood pressure systolic values. The workflow elaborates real data transmitted via the cloud by medical smart sensors and provides a prediction of the patient status. The innovative RMP-DSS is then structured to enable three main control levels. The first one is a real-time alerting condition triggered when real-time values exceed a threshold. The second one concerns preventative action based on the analysis of historical patient data, and the third one involves alerting due to patient status prediction. The proposed study combines the management of processes with DSS outputs, thus optimizing the homecare assistance activities.http://www.mdpi.com/2078-2489/9/7/176homecare assistance managementsmart healthe-healthtelemedicine architectureartificial neural networkmultilayer perceptronpatient health status predictionKNIME |
| spellingShingle | Alessandro Massaro Vincenzo Maritati Nicola Savino Angelo Galiano Daniele Convertini Emanuele De Fonte Maurizio Di Muro A Study of a Health Resources Management Platform Integrating Neural Networks and DSS Telemedicine for Homecare Assistance Information homecare assistance management smart health e-health telemedicine architecture artificial neural network multilayer perceptron patient health status prediction KNIME |
| title | A Study of a Health Resources Management Platform Integrating Neural Networks and DSS Telemedicine for Homecare Assistance |
| title_full | A Study of a Health Resources Management Platform Integrating Neural Networks and DSS Telemedicine for Homecare Assistance |
| title_fullStr | A Study of a Health Resources Management Platform Integrating Neural Networks and DSS Telemedicine for Homecare Assistance |
| title_full_unstemmed | A Study of a Health Resources Management Platform Integrating Neural Networks and DSS Telemedicine for Homecare Assistance |
| title_short | A Study of a Health Resources Management Platform Integrating Neural Networks and DSS Telemedicine for Homecare Assistance |
| title_sort | study of a health resources management platform integrating neural networks and dss telemedicine for homecare assistance |
| topic | homecare assistance management smart health e-health telemedicine architecture artificial neural network multilayer perceptron patient health status prediction KNIME |
| url | http://www.mdpi.com/2078-2489/9/7/176 |
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