Heather Mattie
Biographic Data
| ID | 4163980 |
|---|---|
| NAME | Heather Mattie |
| GIVEN NAMES | Heather |
| FAMILY NAME | Mattie |
| SIGNATURE | MATTIE H |
| AFFILIATIONS | Harvard University |
| ORCID | 0000-0002-1263-2537 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Advancing AI and data science for health in Africa
Background: Africa faces a shortage of health data scientists. Despite bearing 25% of the global disease burden, it has only 3% of the world's healthcare workforce and even less health data science expertise. As artificial intelligence and data science transform global healthcare, from disease surveillance to precision medicine, this capacity gap poses a significant threat to Africa's ability to address its health challenges and harness its growi…
Examining the Relationship Between Rurality, Risk Perception, and Covid-19 Vaccine Willingness Among Rural Latinos in Arizona and California
Edge overlap in weighted and directed social networks
With the increasing availability of behavioral data from diverse digital sources, such as social media sites and cell phones, it is now possible to obtain detailed information about the structure, strength, and directionality of social interactions in varied settings. While most metrics of network structure have traditionally been defined for unweighted and undirected networks only, the richness of current network data calls for extending these m…
Artificial intelligence and algorithmic bias
Algorithmic bias occurs when the application of an algorithm compounds existing inequities in socioeconomic status, race, ethnic background, religion, gender, disability or sexual orientation to amplify them and adversely impact equity in health systems
No prominent works on this page.
Artificial intelligence and algorithmic bias
Algorithmic bias occurs when the application of an algorithm compounds existing inequities in socioeconomic status, race, ethnic background, religion, gender, disability or sexual orientation to amplify them and adversely impact equity in health systems
Edge overlap in weighted and directed social networks
With the increasing availability of behavioral data from diverse digital sources, such as social media sites and cell phones, it is now possible to obtain detailed information about the structure, strength, and directionality of social interactions in varied settings. While most metrics of network structure have traditionally been defined for unweighted and undirected networks only, the richness of current network data calls for extending these m…
Examining the Relationship Between Rurality, Risk Perception, and Covid-19 Vaccine Willingness Among Rural Latinos in Arizona and California
Advancing AI and data science for health in Africa
Background: Africa faces a shortage of health data scientists. Despite bearing 25% of the global disease burden, it has only 3% of the world's healthcare workforce and even less health data science expertise. As artificial intelligence and data science transform global healthcare, from disease surveillance to precision medicine, this capacity gap poses a significant threat to Africa's ability to address its health challenges and harness its growi…
Artificial Intelligence (2 works) · Artificial Intelligence in Healthcare and Education (2 works) · Computer Science (2 works) · Algorithm (1 work) · Biology (1 work) · Capacity building (1 work) · Clinical Reasoning and Diagnostic Skills (1 work) · Complex network (1 work) · Complex Network Analysis Techniques (1 work) · Coronavirus disease 2019 (COVID-19) (1 work)