Machine learning and decision support in critical care

AEW Johnson, MM Ghassemi, S Nemati… - Proceedings of the …, 2016 - ieeexplore.ieee.org
Clinical data management systems typically provide caregiver teams with useful information,
derived from large, sometimes highly heterogeneous, data sources that are often changing …

Big data and data science in critical care

LN Sanchez-Pinto, Y Luo, MM Churpek - Chest, 2018 - Elsevier
The digitalization of the health-care system has resulted in a deluge of clinical big data and
has prompted the rapid growth of data science in medicine. Data science, which is the field …

[HTML][HTML] Artificial intelligence, machine learning and health systems

T Panch, P Szolovits, R Atun - Journal of global health, 2018 - ncbi.nlm.nih.gov
December 2018• Vol. 8 No. 2• 020303 2 www. jogh. org• doi: 10.7189/jogh. 08.020303
progress in this field is attributable to a subset of AI–machine learning and one family of …

[PDF][PDF] Descriptive analysis of machine learning and its application in healthcare

SS Gadde, VDR Kalli - Int J Comp Sci Trends Technol, 2020 - academia.edu
The dynamic world of big data in the healthcare sector characterized by huge numbers,
complexity, and speeds is also not suited to conventional research methods. Methods are …

Artificial intelligence in cancer research and precision medicine: Applications, limitations and priorities to drive transformation in the delivery of equitable and unbiased …

C Corti, M Cobanaj, EC Dee, C Criscitiello… - Cancer Treatment …, 2023 - Elsevier
Artificial intelligence (AI) has experienced explosive growth in oncology and related
specialties in recent years. The improved expertise in data capture, the increased capacity …

[HTML][HTML] Deep learning intervention for health care challenges: some biomedical domain considerations

I Tobore, J Li, L Yuhang, Y Al-Handarish… - JMIR mHealth and …, 2019 - mhealth.jmir.org
The use of deep learning (DL) for the analysis and diagnosis of biomedical and health care
problems has received unprecedented attention in the last decade. The technique has …

[HTML][HTML] A digital opportunity for patients to manage their health: Turkey national personal health record system (The e-Nabız)

Ş Birinci - Balkan medical journal, 2023 - ncbi.nlm.nih.gov
Background: Health records changed over time in the countries, and also Türkiye passed
from paper versions to personal health records (PHR) and put patients at the center of the …

Future cancer research priorities in the USA: a Lancet Oncology Commission

EM Jaffee, C Van Dang, DB Agus… - The Lancet …, 2017 - thelancet.com
We are in the midst of a technological revolution that is providing new insights into human
biology and cancer. In this era of big data, we are amassing large amounts of information …

Practical guidance on artificial intelligence for health-care data

M Ghassemi, T Naumann, P Schulam… - The Lancet Digital …, 2019 - thelancet.com
Advances in machine learning and artificial intelligence (AI) offer the potential to provide
personalised care that is equal to or better than the performance of humans for several …

State of the art review: the data revolution in critical care

M Ghassemi, LA Celi, DJ Stone - Annual Update in Intensive Care and …, 2015 - Springer
Many recent articles highlight the data revolution in healthcare, an offshoot of the vast
amount of digital medical information that has now accumulated in electronic medical …