Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence
Guardado en:
| Autores principales: | , , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
BMJ Publishing Group
2021
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/50b981bcc5e546f5bc44aeecfaef3a98 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:doaj.org-article:50b981bcc5e546f5bc44aeecfaef3a98 |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:50b981bcc5e546f5bc44aeecfaef3a982021-12-05T20:30:04ZPredicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence10.1136/bmjopen-2021-0528872044-6055https://doaj.org/article/50b981bcc5e546f5bc44aeecfaef3a982021-11-01T00:00:00Zhttps://bmjopen.bmj.com/content/11/11/e052887.fullhttps://doaj.org/toc/2044-6055Chris GaleJianhua WuRamesh NadarajahDavid HoggCampbell CowanAlejandro F FrangiBMJ Publishing GrouparticleMedicineRENBMJ Open, Vol 11, Iss 11 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Medicine R |
| spellingShingle |
Medicine R Chris Gale Jianhua Wu Ramesh Nadarajah David Hogg Campbell Cowan Alejandro F Frangi Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence |
| format |
article |
| author |
Chris Gale Jianhua Wu Ramesh Nadarajah David Hogg Campbell Cowan Alejandro F Frangi |
| author_facet |
Chris Gale Jianhua Wu Ramesh Nadarajah David Hogg Campbell Cowan Alejandro F Frangi |
| author_sort |
Chris Gale |
| title |
Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence |
| title_short |
Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence |
| title_full |
Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence |
| title_fullStr |
Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence |
| title_full_unstemmed |
Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence |
| title_sort |
predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of find-af for developing a precision medicine prediction model using artificial intelligence |
| publisher |
BMJ Publishing Group |
| publishDate |
2021 |
| url |
https://doaj.org/article/50b981bcc5e546f5bc44aeecfaef3a98 |
| work_keys_str_mv |
AT chrisgale predictingpatientlevelnewonsetatrialfibrillationfrompopulationbasednationwideelectronichealthrecordsprotocoloffindaffordevelopingaprecisionmedicinepredictionmodelusingartificialintelligence AT jianhuawu predictingpatientlevelnewonsetatrialfibrillationfrompopulationbasednationwideelectronichealthrecordsprotocoloffindaffordevelopingaprecisionmedicinepredictionmodelusingartificialintelligence AT rameshnadarajah predictingpatientlevelnewonsetatrialfibrillationfrompopulationbasednationwideelectronichealthrecordsprotocoloffindaffordevelopingaprecisionmedicinepredictionmodelusingartificialintelligence AT davidhogg predictingpatientlevelnewonsetatrialfibrillationfrompopulationbasednationwideelectronichealthrecordsprotocoloffindaffordevelopingaprecisionmedicinepredictionmodelusingartificialintelligence AT campbellcowan predictingpatientlevelnewonsetatrialfibrillationfrompopulationbasednationwideelectronichealthrecordsprotocoloffindaffordevelopingaprecisionmedicinepredictionmodelusingartificialintelligence AT alejandroffrangi predictingpatientlevelnewonsetatrialfibrillationfrompopulationbasednationwideelectronichealthrecordsprotocoloffindaffordevelopingaprecisionmedicinepredictionmodelusingartificialintelligence |
| _version_ |
1718371062071164928 |