Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI
Currently, patient selection in TAVI is based upon a multidisciplinary heart team assessment of patient comorbidities and surgical risk stratification. In an era of increasing need for precision medicine and quickly expanding TAVI indications, machine learning has shown promise in making accurate pr...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article (Journal) |
| Language: | English |
| Published: |
2021
|
| In: |
Clinical research in cardiology
Year: 2021, Volume: 110, Issue: 3, Pages: 343-356 |
| ISSN: | 1861-0692 |
| DOI: | 10.1007/s00392-020-01691-0 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/s00392-020-01691-0
|
| Author Notes: | Bruna Gomes, Maximilian Pilz, Christoph Reich, Florian Leuschner, Mathias Konstandin, Hugo A. Katus, Benjamin Meder |
MARC
| LEADER | 00000caa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1769705708 | ||
| 003 | DE-627 | ||
| 005 | 20220208214626.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 210908s2021 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s00392-020-01691-0 |2 doi | |
| 035 | |a (DE-627)1769705708 | ||
| 035 | |a (DE-599)KXP1769705708 | ||
| 035 | |a (OCoLC)1295678928 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 33 |2 sdnb | ||
| 100 | 1 | |a Gomes Botelho Quintas, Bruna |e VerfasserIn |0 (DE-588)1160334218 |0 (DE-627)1023489570 |0 (DE-576)505861844 |4 aut | |
| 245 | 1 | 0 | |a Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI |c Bruna Gomes, Maximilian Pilz, Christoph Reich, Florian Leuschner, Mathias Konstandin, Hugo A. Katus, Benjamin Meder |
| 264 | 1 | |c 2021 | |
| 300 | |a 14 | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Published online: 24 June 2020 | ||
| 500 | |a Gesehen am 08.09.2021 | ||
| 520 | |a Currently, patient selection in TAVI is based upon a multidisciplinary heart team assessment of patient comorbidities and surgical risk stratification. In an era of increasing need for precision medicine and quickly expanding TAVI indications, machine learning has shown promise in making accurate predictions of clinical outcomes. This study aims to predict different intrahospital clinical outcomes in patients undergoing TAVI using a machine learning-based approach. The main clinical outcomes include all-cause mortality, stroke, major vascular complications, paravalvular leakage, and new pacemaker implantations. | ||
| 700 | 1 | |a Pilz, Maximilian |d 1993- |e VerfasserIn |0 (DE-588)1193938732 |0 (DE-627)1675681511 |4 aut | |
| 700 | 1 | |a Reich, Christoph |e VerfasserIn |0 (DE-588)1240794967 |0 (DE-627)1769705139 |4 aut | |
| 700 | 1 | |a Leuschner, Florian |e VerfasserIn |0 (DE-588)1072736144 |0 (DE-627)828165742 |0 (DE-576)189305347 |4 aut | |
| 700 | 1 | |a Konstandin, Mathias |d 1976- |e VerfasserIn |0 (DE-588)12390708X |0 (DE-627)706469240 |0 (DE-576)29393701X |4 aut | |
| 700 | 1 | |a Katus, Hugo |d 1951- |e VerfasserIn |0 (DE-588)108916618 |0 (DE-627)577155040 |0 (DE-576)289625076 |4 aut | |
| 700 | 1 | |a Meder, Benjamin |e VerfasserIn |0 (DE-588)135821630 |0 (DE-627)571676316 |0 (DE-576)300664745 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Clinical research in cardiology |d Berlin : Springer, 2006 |g 110(2021), 3, Seite 343-356 |h Online-Ressource |w (DE-627)506287343 |w (DE-600)2218331-0 |w (DE-576)251097692 |x 1861-0692 |7 nnas |a Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI |
| 773 | 1 | 8 | |g volume:110 |g year:2021 |g number:3 |g pages:343-356 |g extent:14 |a Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00392-020-01691-0 |x Verlag |x Resolving-System |z lizenzpflichtig |3 Volltext |
| 951 | |a AR | ||
| 992 | |a 20210908 | ||
| 993 | |a Article | ||
| 994 | |a 2021 | ||
| 998 | |g 135821630 |a Meder, Benjamin |m 135821630:Meder, Benjamin |d 910000 |d 910100 |e 910000PM135821630 |e 910100PM135821630 |k 0/910000/ |k 1/910000/910100/ |p 7 |y j | ||
| 998 | |g 108916618 |a Katus, Hugo |m 108916618:Katus, Hugo |d 910000 |d 910100 |d 50000 |e 910000PK108916618 |e 910100PK108916618 |e 50000PK108916618 |k 0/910000/ |k 1/910000/910100/ |k 0/50000/ |p 6 | ||
| 998 | |g 12390708X |a Konstandin, Mathias |m 12390708X:Konstandin, Mathias |d 910000 |d 910100 |e 910000PK12390708X |e 910100PK12390708X |k 0/910000/ |k 1/910000/910100/ |p 5 | ||
| 998 | |g 1072736144 |a Leuschner, Florian |m 1072736144:Leuschner, Florian |d 910000 |d 910100 |e 910000PL1072736144 |e 910100PL1072736144 |k 0/910000/ |k 1/910000/910100/ |p 4 | ||
| 998 | |g 1240794967 |a Reich, Christoph |m 1240794967:Reich, Christoph |d 910000 |d 910100 |e 910000PR1240794967 |e 910100PR1240794967 |k 0/910000/ |k 1/910000/910100/ |p 3 | ||
| 998 | |g 1193938732 |a Pilz, Maximilian |m 1193938732:Pilz, Maximilian |d 910000 |d 999701 |e 910000PP1193938732 |e 999701PP1193938732 |k 0/910000/ |k 1/910000/999701/ |p 2 | ||
| 998 | |g 1160334218 |a Gomes Botelho Quintas, Bruna |m 1160334218:Gomes Botelho Quintas, Bruna |d 910000 |d 910100 |e 910000PG1160334218 |e 910100PG1160334218 |k 0/910000/ |k 1/910000/910100/ |p 1 |x j | ||
| 999 | |a KXP-PPN1769705708 |e 397488503X | ||
| BIB | |a Y | ||
| SER | |a journal | ||
| JSO | |a {"note":[" Published online: 24 June 2020","Gesehen am 08.09.2021"],"title":[{"title_sort":"Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI","title":"Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI"}],"id":{"eki":["1769705708"],"doi":["10.1007/s00392-020-01691-0"]},"recId":"1769705708","language":["eng"],"type":{"bibl":"article-journal","media":"Online-Ressource"},"origin":[{"dateIssuedKey":"2021","dateIssuedDisp":"2021"}],"relHost":[{"origin":[{"dateIssuedDisp":"2006-","publisherPlace":"Berlin","dateIssuedKey":"2006","publisher":"Springer"}],"type":{"media":"Online-Ressource","bibl":"periodical"},"language":["eng"],"physDesc":[{"extent":"Online-Ressource"}],"part":{"text":"110(2021), 3, Seite 343-356","issue":"3","volume":"110","extent":"14","year":"2021","pages":"343-356"},"recId":"506287343","id":{"eki":["506287343"],"zdb":["2218331-0"],"issn":["1861-0692"]},"title":[{"title_sort":"Clinical research in cardiology","title":"Clinical research in cardiology"}],"disp":"Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVIClinical research in cardiology","pubHistory":["95.2006 -"]}],"person":[{"family":"Gomes Botelho Quintas","roleDisplay":"VerfasserIn","given":"Bruna","display":"Gomes Botelho Quintas, Bruna","role":"aut"},{"role":"aut","display":"Pilz, Maximilian","given":"Maximilian","roleDisplay":"VerfasserIn","family":"Pilz"},{"family":"Reich","roleDisplay":"VerfasserIn","given":"Christoph","role":"aut","display":"Reich, Christoph"},{"family":"Leuschner","roleDisplay":"VerfasserIn","given":"Florian","role":"aut","display":"Leuschner, Florian"},{"family":"Konstandin","roleDisplay":"VerfasserIn","given":"Mathias","role":"aut","display":"Konstandin, Mathias"},{"family":"Katus","roleDisplay":"VerfasserIn","given":"Hugo","display":"Katus, Hugo","role":"aut"},{"role":"aut","display":"Meder, Benjamin","given":"Benjamin","roleDisplay":"VerfasserIn","family":"Meder"}],"physDesc":[{"extent":"14 S."}],"name":{"displayForm":["Bruna Gomes, Maximilian Pilz, Christoph Reich, Florian Leuschner, Mathias Konstandin, Hugo A. Katus, Benjamin Meder"]}} | ||
| SRT | |a GOMESBOTELMACHINELEA2021 | ||