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PISIoT: A Machine Learning and IoT-Based Smart Health Platform for Overweight and Obesity Control
| dc.contributor.author | Machorro-Cano, Isaac | |
| dc.contributor.author | Alor-Hernández, Giner | |
| dc.contributor.author | Paredes-Valverde, Mario Andrés | |
| dc.contributor.author | Ramos-Deonati, Uriel | |
| dc.contributor.author | Sánchez-Cervantes, José Luis | |
| dc.contributor.author | Rodríguez Mazahua, Lisbeth | |
| dc.date.accessioned | 2022-06-25T23:19:40Z | |
| dc.date.available | 2022-06-25T23:19:40Z | |
| dc.date.issued | 2019-07-28 | |
| dc.identifier.citation | Isaac Machorro-Cano, Giner Alor-Hernandez, Mario Andrés Paredes-Valverde, Uriel Ramos-Deonati, José Luis Sánchez-Cervantes, Lisbeth Rodríguez-Mazahua. PISIoT: A Machine Learning and IoT-based Health Smart-Platform for Overweight and Obesity control. Applied Sciences. MDPI Publishing. 9(15), 3037. ISSN 2076-3417 2018.:https://doi.org/10.3390/app9153037 | es |
| dc.identifier.issn | 2076-3417 | |
| dc.identifier.uri | http://repositorios.orizaba.tecnm.mx:8080/xmlui/handle/123456789/549 | |
| dc.description | Overweight and obesity are affecting productivity and quality of life worldwide. The Internet of Things (IoT) makes it possible to interconnect, detect, identify, and process data between objects or services to fulfill a common objective. The main advantages of IoT in healthcare are the monitoring, analysis, diagnosis, and control of conditions such as overweight and obesity and the generation of recommendations to prevent them. However, the objects used in the IoT have limited resources, so it has become necessary to consider other alternatives to analyze the data generated from monitoring, analysis, diagnosis, control, and the generation of recommendations, such as machine learning. This work presents PISIoT: a machine learning and IoT-based smart health platform for the prevention, detection, treatment, and control of overweight and obesity, and other associated conditions or health problems. Weka API and the J48 machine learning algorithm were used to identify critical variables and classify patients, while Apache Mahout and RuleML were used to generate medical recommendations. Finally, to validate the PISIoT platform, we present a case study on the prevention of myocardial infarction in elderly patients with obesity by monitoring biomedical variables. | es |
| dc.description.abstract | Overweight and obesity are affecting productivity and quality of life worldwide. The Internet of Things (IoT) makes it possible to interconnect, detect, identify, and process data between objects or services to fulfill a common objective. The main advantages of IoT in healthcare are the monitoring, analysis, diagnosis, and control of conditions such as overweight and obesity and the generation of recommendations to prevent them. However, the objects used in the IoT have limited resources, so it has become necessary to consider other alternatives to analyze the data generated from monitoring, analysis, diagnosis, control, and the generation of recommendations, such as machine learning. This work presents PISIoT: a machine learning and IoT-based smart health platform for the prevention, detection, treatment, and control of overweight and obesity, and other associated conditions or health problems. Weka API and the J48 machine learning algorithm were used to identify critical variables and classify patients, while Apache Mahout and RuleML were used to generate medical recommendations. Finally, to validate the PISIoT platform, we present a case study on the prevention of myocardial infarction in elderly patients with obesity by monitoring biomedical variables. | es |
| dc.description.sponsorship | CONACYT, TECNM, PRODEP | es |
| dc.language.iso | en_US | es |
| dc.publisher | MDPI Publishing | es |
| dc.relation.ispartofseries | Applied Sciences; | |
| dc.subject | biomedical variables | es |
| dc.subject | Internet of Things | es |
| dc.subject | machine learning | es |
| dc.subject | monitoring | es |
| dc.subject | obesity | es |
| dc.title | PISIoT: A Machine Learning and IoT-Based Smart Health Platform for Overweight and Obesity Control | es |
| dc.type | Article | es |
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