Published on in Vol 7 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/44732, first published
.
![Physician- and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease: Preimplementation Study With Physician and Patient Stakeholders Physician- and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease: Preimplementation Study With Physician and Patient Stakeholders](https://asset.jmir.pub/assets/5e8bdd29703949daa449637dce01dad5.png 480w,https://asset.jmir.pub/assets/5e8bdd29703949daa449637dce01dad5.png 960w,https://asset.jmir.pub/assets/5e8bdd29703949daa449637dce01dad5.png 1920w,https://asset.jmir.pub/assets/5e8bdd29703949daa449637dce01dad5.png 2500w)
Journals
- Arutyunov G, Tarlovskaya E, Arutyunov A, Batluk T, Koziolova N, Chesnikova A, Vaskin A, Tokmin D, Bakulin I, Barbarash O, Grigoryeva N, Gubareva I, Izmozherova N, Kamilova U, Kechedzhieva S, Kim Z, Koriagina N, Mironova S, Mitkovskaya N, Nemirova S, Nurieva L, Petrova M, Polyanskaya E, Rebrov A, Svarovskaya A, Smirnova E, Sugraliev A, Khovaeva Y, Shavkuta G, Shaposhnik I, Alieva M, Almukhanova A, Aparkina A, Bashkinov R, Belousova L, Blokhina E, Bochkareva V, Buianova M, Valikulova F, Vende A, Galyavich A, Genkel V, Gorbunova E, Gordeychuk E, Grigorenko E, Grigoryeva E, Davydkin I, Evdokimov D, Ermilova A, Zhangelova S, Zhdankina N, Zheleznyak E, Ilyanok N, Kapsultanova D, Karoli N, Kartashova E, Kuznetsova A, Kumaritova A, Magdeeva N, Makarov S, Melnikov E, Novikova M, Obukhova I, Ponomarenko E, Rubanenko A, Rubanenko O, Rustamova F, Safronenko V, Suchkova E, Sycheva A, Tagaeva D, Trubnikova M, Trunina T, Frolov A, Khatlamadzhiyan V, Khokhlova Y, Chernyavina A, Chizhova O, Shambatov M, Shnyukova T, Shchukin Y. Peculiarities of polyvascular disease and the diagnostic significance of the ankle-brachial index in patients with coronary artery disease: results from the real-world registry KAMMA (Clinical registry on patient population with polyvascular disease in the Russian Federation and Eurasian countries). Russian Journal of Cardiology 2024;29(4):5837 View