Name
Title | ||
|---|---|---|
Machine Learning for Health (ML4H) 2019: What Makes Machine Learning in Medicine Different? |
Abstract | ||
|---|---|---|
The fifth Machine Learning for Health (ML4H 2019) workshop 1 was held on December 13, 2019, in conjunction with The thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), at the Vancouver Convention Center, Vancouver, Canada. This proceedings contains the 17 papers accepted to the inaugural ML4H Proceedings. The goal of this year’s workshop was twofold. First, it aimed to foster collaborations that meaningfully impact medicine by bringing together clinicians, health data experts, and machine learning researchers. Second, it provided a proceedings venue for technically excellent, mature work. The latter goal was motivated by increased interest in technical |
Year | Venue | DocType |
|---|---|---|
2019 | ML4H@NeurIPS | Conference |
Volume | Citations | PageRank |
116 | 0 | 0.34 |
References | Authors | |
0 | 10 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dalca Adrian V. | 1 | 248 | 31.82 |
| Matthew B. A. McDermott | 2 | 10 | 6.58 |
| Emily Alsentzer | 3 | 1 | 4.07 |
| Samuel G. Finlayson | 4 | 2 | 1.04 |
| Michael Oberst | 5 | 0 | 1.69 |
| Fabian Falck | 6 | 0 | 2.03 |
| Corey Chivers | 7 | 0 | 0.68 |
| Andrew Beam | 8 | 8 | 2.77 |
| Tristan Naumann | 9 | 94 | 9.34 |
| Brett Beaulieu-Jones | 10 | 0 | 0.34 |