scholarly article | Q13442814 |
P50 | author | Ara Darzi | Q336080 |
Hutan Ashrafian | Q57056659 | ||
P2860 | cites work | Collective-Intelligence Recommender Systems: Advancing Computer Tailoring for Health Behavior Change Into the 21st Century | Q26767306 |
Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data | Q33896323 | ||
Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification | Q36410231 | ||
Development of crash frequency models for safety promotion of urban collector streets. | Q39001503 | ||
A novel modification of the Turing test for artificial intelligence and robotics in healthcare | Q40165106 | ||
How machine learning could help to improve climate forecasts. | Q45946102 | ||
What is a national health policy? | Q47794366 | ||
Twitter-Based Detection of Illegal Online Sale of Prescription Opioid. | Q52944734 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P4510 | describes a project that uses | machine learning | Q2539 |
P433 | issue | 11 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | machine learning | Q2539 |
health policy | Q1519812 | ||
P304 | page(s) | e1002692 | |
P577 | publication date | 2018-11-01 | |
P1433 | published in | PLOS MEDICINE | Q1686921 |
P1476 | title | Transforming health policy through machine learning | |
P478 | volume | 15 |
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Q91657274 | Empowering Citizens through Perceptual Sensing of Urban Environmental and Health Data Following a Participative Citizen Science Approach |
Q91596621 | Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome |
Q91672464 | Utilising artificial intelligence to determine patients at risk of a rare disease: idiopathic pulmonary arterial hypertension |
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