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Artificial intelligence applications & venture funding in healthcare
Halminen, Olli; Tenhunen, Henni; Heliste, Antti; … - 2019
. The funding decisions made by VC companies also work as a technology driver for the industry. We analyzed a database of … patient care delivery is associated with lower funding. We discuss the implications of our findings on health technology …
Persistent link: https://www.econbiz.de/10012118093
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Artificial intelligence against COVID-19 : an early review
Naudé, Wim - 2020
Artificial Intelligence (AI) is a potentially powerful tool in the fight against the COVID- 19 pandemic. Since the outbreak of the pandemic, there has been a scramble to use AI. This article provides an early, and necessarily selective review, discussing the contribution of AI to the fight...
Persistent link: https://www.econbiz.de/10012199140
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Artificial Intelligence against COVID-19: An Early Review
Naudé, Wim - 2020
Artificial Intelligence (AI) is a potentially powerful tool in the fight against the COVID- 19 pandemic. Since the outbreak of the pandemic, there has been a scramble to use AI. This article provides an early, and necessarily selective review, discussing the contribution of AI to the fight...
Persistent link: https://www.econbiz.de/10012207791
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Artificial intelligence and high-skilled work : evidence from analysts
Grennan, Jillian; Michaely, Roni - 2020
Policymakers fear artificial intelligence (AI) will disrupt labor markets, especially for high-skilled workers. We investigate this concern using novel, task-specific data for security analysts. Exploiting variation in AI's power across stocks, we show analysts with portfolios that are more...
Persistent link: https://www.econbiz.de/10012419400
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Internet-Based Smoking Cessation Initiatives: Availability, Varieties, and Likely Effects on Outcomes
McDaniel, Anna M.; Stratton, Renee M. - In: Disease Management and Health Outcomes 14 (2006) 5, pp. 275-285
to quit smoking. The potential of Internet technology to reach large numbers of smokers and provide reliable information …
Persistent link: https://www.econbiz.de/10005448774
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Impact of Telehealth on Healthcare Utilization by Congestive Heart Failure Patients
Lehmann, Craig A.; Mintz, Nancy; Giacini, Jean Marie - In: Disease Management and Health Outcomes 14 (2006) 3, pp. 163-169
healthcare utilization in CHF patients, telehealth technology was introduced into a demonstration project established by the … national demonstration projects. The study measured the impact of managing CHF patients via telehealth technology on overall … technology decreased their overall utilization of healthcare resources by 41% (p_=_0.00183). Physician office visits decreased by …
Persistent link: https://www.econbiz.de/10005404592
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Initiatives and Barriers to Adopting Health Information Technology: A US Perspective
DePhillips, Henry A. - In: Disease Management and Health Outcomes 15 (2007) 1, pp. 1-6
technology (IT) can enable the industry to address its three most pressing concerns: an increase in medical errors, rising costs … the current state of health IT efforts in the US, the barriers to further adoption, and how technology can be, and is …
Persistent link: https://www.econbiz.de/10005404595
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Telemedicine for Diabetes Care
Malasanos, Toree H. - In: Disease Management and Health Outcomes 14 (2006) 3, pp. 147-150
Persistent link: https://www.econbiz.de/10005404596
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The Missing Technology: An International Comparison of Human Capital Investment in Healthcare
Frogner, Bianca K. - In: Applied Health Economics and Health Policy 8 (2010) 6, pp. 361-371
This article explores human capital investment to understand cross-sectional variation and differences in growth of health spending among the US, Australia and Canada. Using a human capital model developed by Mincer, the article examines how rate of return to schooling and years of schooling...
Persistent link: https://www.econbiz.de/10008690227
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Three Machine Learning Solutions to the Bias-Variance Dilemma (Seminar Slides)
Lopez de Prado, Marcos - 2020
Classical statistics (e.g., Econometrics) relies on assumptions that are often unrealistic in finance. Two critical assumptions are that the researcher has perfect knowledge about the model's specification, and that the researcher knows all the variables involved in a phenomenon (including all...
Persistent link: https://www.econbiz.de/10012835511