Potential application of machine learning in health outcomes research and some statistical cautions

Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research
William H Crown

Abstract

Traditional analytic methods are often ill-suited to the evolving world of health care big data characterized by massive volume, complexity, and velocity. In particular, methods are needed that can estimate models efficiently using very large datasets containing healthcare utilization data, clinical data, data from personal devices, and many other sources. Although very large, such datasets can also be quite sparse (e.g., device data may only be available for a small subset of individuals), which creates problems for traditional regression models. Many machine learning methods address such limitations effectively but are still subject to the usual sources of bias that commonly arise in observational studies. Researchers using machine learning methods such as lasso or ridge regression should assess these models using conventional specification tests.

References

Jul 10, 2014·Health Affairs·Lynn M Etheredge
Jul 10, 2014·Health Affairs·Paul J WallaceWilliam H Crown

❮ Previous
Next ❯

Citations

Nov 9, 2015·PharmacoEconomics·Paula K LorgellyUNKNOWN Cancer 2015 Investigators
Dec 22, 2015·Autoimmunity Reviews·Marvin J Fritzler
Sep 30, 2015·Current Opinion in Anaesthesiology·Richard P Dutton
Mar 17, 2015·Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research·Deborah A MarshallUNKNOWN ISPOR Emerging Good Practices Task Force
Sep 25, 2016·Journal of the American Academy of Child and Adolescent Psychiatry·Michael C Monuteaux, Catherine Stamoulis
Apr 22, 2016·Chronic Respiratory Disease·Daniel Sanchez-MorilloAntonio Leon-Jimenez
Mar 13, 2019·Circulation. Cardiovascular Quality and Outcomes·Tony DuanSanjay Basu
Mar 5, 2019·Journal of Occupational and Environmental Medicine·Kyoung-Sae Na, Eunkyong Kim
Nov 19, 2019·Technology in Cancer Research & Treatment·Shihao LiXuedong Yuan
Dec 6, 2018·Brazilian Dental Journal·Paola Sampaio GonzalesEdgard Michel-Crosato
Jun 21, 2019·Journal of the American Medical Informatics Association : JAMIA·Gang FangSamuel Cykert
Mar 3, 2020·Frontiers in Pharmacology·Tine GeldofWalter Van Dyck
Apr 3, 2020·International Journal of Epidemiology·Sherri Rose
Mar 19, 2021·The American Journal of Nursing·Roxanne L O'Brien, Matt W O'Brien
Apr 29, 2021·BMJ Open Sport & Exercise Medicine·Daniel FullerFabien A Basset
May 21, 2019·Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research·William H Crown

❮ Previous
Next ❯

Related Concepts

Trending Feeds

COVID-19

Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Blastomycosis

Blastomycosis fungal infections spread through inhaling Blastomyces dermatitidis spores. Discover the latest research on blastomycosis fungal infections here.

Nuclear Pore Complex in ALS/FTD

Alterations in nucleocytoplasmic transport, controlled by the nuclear pore complex, may be involved in the pathomechanism underlying multiple neurodegenerative diseases including Amyotrophic Lateral Sclerosis and Frontotemporal Dementia. Here is the latest research on the nuclear pore complex in ALS and FTD.

Applications of Molecular Barcoding

The concept of molecular barcoding is that each original DNA or RNA molecule is attached to a unique sequence barcode. Sequence reads having different barcodes represent different original molecules, while sequence reads having the same barcode are results of PCR duplication from one original molecule. Discover the latest research on molecular barcoding here.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.

Evolution of Pluripotency

Pluripotency refers to the ability of a cell to develop into three primary germ cell layers of the embryo. This feed focuses on the mechanisms that underlie the evolution of pluripotency. Here is the latest research.

Position Effect Variegation

Position Effect Variagation occurs when a gene is inactivated due to its positioning near heterochromatic regions within a chromosome. Discover the latest research on Position Effect Variagation here.

STING Receptor Agonists

Stimulator of IFN genes (STING) are a group of transmembrane proteins that are involved in the induction of type I interferon that is important in the innate immune response. The stimulation of STING has been an active area of research in the treatment of cancer and infectious diseases. Here is the latest research on STING receptor agonists.

Microbicide

Microbicides are products that can be applied to vaginal or rectal mucosal surfaces with the goal of preventing, or at least significantly reducing, the transmission of sexually transmitted infections. Here is the latest research on microbicides.