AIMC Topic: Biostatistics
Clear Filters Showing 21 to 27 of 27 articles
From development to deployment: dataset shift, causality, and shift-stable models in health AI.
Biostatistics (Oxford, England)
Apr 1, 2020
Teaching yourself about structural racism will improve your machine learning.
Biostatistics (Oxford, England)
Apr 1, 2020
In this commentary, we put forth the following argument: Anyone conducting machine learning in a health-related domain should educate themselves about structural racism. We argue that structural racism is a critical body of knowledge needed for gener...
Machine learning in the estimation of causal effects: targeted minimum loss-based estimation and double/debiased machine learning.
Biostatistics (Oxford, England)
Apr 1, 2020
In recent decades, the fields of statistical and machine learning have seen a revolution in the development of data-adaptive regression methods that have optimal performance under flexible, sometimes minimal, assumptions on the true regression functi...
Signals Among Signals: Prioritizing Nongenetic Associations in Massive Data Sets.
American journal of epidemiology
May 1, 2019
Massive data sets are often regarded as a panacea to the underpowered studies of the past. At the same time, it is becoming clear that in many of these data sets in which thousands of variables are measured across hundreds of thousands or millions of...
Doctor AI.
American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
Jan 1, 2019
Positive reactions to pairs of allergens associated with polysensitization: analysis of IVDK data with machine-learning techniques.
Contact dermatitis
Apr 1, 2017
Statistical Inference for Data Adaptive Target Parameters.
The international journal of biostatistics
May 1, 2016
Consider one observes n i.i.d. copies of a random variable with a probability distribution that is known to be an element of a particular statistical model. In order to define our statistical target we partition the sample in V equal size sub-samples...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823