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Data Leakage in Health Outcomes Prediction With Machine Learning. Comment on “Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning”
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
JMIR Publications
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880048/ https://www.ncbi.nlm.nih.gov/pubmed/33570496 http://dx.doi.org/10.2196/10969 |
| _version_ | 1783650636247597056 |
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| author | Chiavegatto Filho, Alexandre Batista, André Filipe De Moraes dos Santos, Hellen Geremias |
| author_facet | Chiavegatto Filho, Alexandre Batista, André Filipe De Moraes dos Santos, Hellen Geremias |
| author_sort | Chiavegatto Filho, Alexandre |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7880048 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | JMIR Publications |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-78800482021-02-23 Data Leakage in Health Outcomes Prediction With Machine Learning. Comment on “Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning” Chiavegatto Filho, Alexandre Batista, André Filipe De Moraes dos Santos, Hellen Geremias J Med Internet Res Letter to the Editor JMIR Publications 2021-02-11 /pmc/articles/PMC7880048/ /pubmed/33570496 http://dx.doi.org/10.2196/10969 Text en ©Alexandre Chiavegatto Filho, André Filipe De Moraes Batista, Hellen Geremias dos Santos. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 11.02.2021. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
| spellingShingle | Letter to the Editor Chiavegatto Filho, Alexandre Batista, André Filipe De Moraes dos Santos, Hellen Geremias Data Leakage in Health Outcomes Prediction With Machine Learning. Comment on “Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning” |
| title | Data Leakage in Health Outcomes Prediction With Machine Learning. Comment on “Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning” |
| title_full | Data Leakage in Health Outcomes Prediction With Machine Learning. Comment on “Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning” |
| title_fullStr | Data Leakage in Health Outcomes Prediction With Machine Learning. Comment on “Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning” |
| title_full_unstemmed | Data Leakage in Health Outcomes Prediction With Machine Learning. Comment on “Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning” |
| title_short | Data Leakage in Health Outcomes Prediction With Machine Learning. Comment on “Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning” |
| title_sort | data leakage in health outcomes prediction with machine learning. comment on “prediction of incident hypertension within the next year: prospective study using statewide electronic health records and machine learning” |
| topic | Letter to the Editor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880048/ https://www.ncbi.nlm.nih.gov/pubmed/33570496 http://dx.doi.org/10.2196/10969 |
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