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Surveys

Latest AI and machine learning research in surveys for healthcare professionals.

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A Survey on Medical Image Analysis in Capsule Endoscopy.

BACKGROUND AND OBJECTIVE: Capsule Endoscopy (CE) is a non-invasive, patient-friendly alternative to ...

Three Problems with Big Data and Artificial Intelligence in Medicine.

The rise of big data and artificial intelligence (AI) in health care has engendered considerable exc...

Benefits, Pitfalls, and Potential Bias in Health Care AI.

As the health care industry adopts artificial intelligence, machine learning, and other modeling tec...

Engineering Bias in AI.

After working at Apple designing circuits and signal processing algorithms for products including th...

Machine Learning Approach for Predicting New Uses of Existing Drugs and Evaluation of Their Reliabilities.

In this chapter, a new method to evaluate the reliability of predicting new uses of existing drugs w...

Survey of Machine Learning Techniques in Drug Discovery.

BACKGROUND: Drug discovery, which is the process of discovering new candidate medications, is very i...

Efficient inference for time-varying behavior during learning.

The process of learning new behaviors over time is a problem of great interest in both neuroscience ...

Identification and Estimation Of Causal Effects from Dependent Data.

The assumption that data samples are independent and identically distributed (iid) is standard in ma...

Gene multifunctionality scoring using gene ontology.

Multifunctional genes are important genes because of their essential roles in human cells. Studying ...

PathwaySplice: an R package for unbiased pathway analysis of alternative splicing in RNA-Seq data.

SUMMARY: Pathway analysis of alternative splicing would be biased without accounting for the differe...

Machine learning approach for early detection of autism by combining questionnaire and home video screening.

BACKGROUND: Existing screening tools for early detection of autism are expensive, cumbersome, time- ...

SpiroConfidence: Determining the Validity of Smartphone Based Spirometry Using Machine Learning.

Prior work has shown that smartphone spirometry can effectively measure lung function using the phon...

Barriers to staff reporting adverse incidents in NHS hospitals.

Our study assessed barriers to reporting adverse incidents (AIs). Adverse incident reporting (AIR), ...

Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting.

Motivated by the great potential of deep learning in medical imaging, we propose an iterative positr...

Applications of Deep Learning and Reinforcement Learning to Biological Data.

Rapid advances in hardware-based technologies during the past decades have opened up new possibiliti...

Feature specific quantile normalization enables cross-platform classification of molecular subtypes using gene expression data.

MOTIVATION: Molecular subtypes of cancers and autoimmune disease, defined by transcriptomic profilin...

The adoption of care robots in home care-A survey on the attitudes of Finnish home care personnel.

AIMS AND OBJECTIVES: This article examines the attitudes of Finnish home care registered nurses, lic...

Can We Train Machine Learning Methods to Outperform the High-dimensional Propensity Score Algorithm?

The use of retrospective health care claims datasets is frequently criticized for the lack of comple...

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