Name
Abstract | ||
|---|---|---|
In this poster, we describe the Antidote Application (AA), a computational system that automatically recommends individualized antidote treatment regimen(s) and patient-specific doses(s) based on each patient's parameters. The AA can be used as an educational tool for toxicological study of the most common toxins. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2649387.2660795 | BCB |
Keywords | Field | DocType |
health,algorithms,design,decision support,poison control,antidote,verification,poison,toxin,standardization,medicine and science,information systems education | Decision support system,Pharmacology,Antidote,Toxin exposure,Educational systems,Bioinformatics,Medical emergency,Health informatics,Medicine,Drug administration | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jon Long | 1 | 0 | 0.34 |
| Yingyuan Zhang | 2 | 0 | 0.68 |
| Lubomir T. Chitkushev | 3 | 0 | 1.01 |
| Vladimir Brusic | 4 | 0 | 1.01 |
| G.L. Zhang | 5 | 208 | 16.91 |