| CPC A61B 5/366 (2021.01) [A61B 5/02007 (2013.01); A61B 5/303 (2021.01); A61B 5/316 (2021.01); A61B 5/363 (2021.01); A61B 5/364 (2021.01); A61B 5/6823 (2013.01); A61B 5/282 (2021.01)] | 20 Claims |

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1. An electrocardiographic (ECG) method comprising:
receiving ECG data related to a person;
determining, based on the ECG data, that the person lacks ST elevation indicative of ST-elevation myocardial infarction (STEMI);
using machine learning to analyze the ECG data and one or more ECG-derived spatial or temporal qualities of ventricular repolarization dispersion from the ECG data;
determining, based at least in part on the analyzing, a probability score indicative of a degree of likelihood of non-ST elevation myocardial infarction (NSTEMI), including occlusion myocardial infarction, in the person;
determining that the probability score is above a predetermined threshold value; and
based at least in part on the probability score being above the predetermined threshold value, treating the person with a treatment for NSTEMI, wherein the treatment for NSTEMI comprises coronary angioplasty with stent placement.
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