Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Laura Acion"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Automated cell classification in cancer biology is a challenging topic in computer vision and machine learning research. Breast cancer is the most common malignancy in women that usually involves phenotypically diverse populations of breast
Externí odkaz:
https://doaj.org/article/f0931625d1854faaa1f1cbce56932ac0
Publikováno v:
Substance Abuse Treatment, Prevention, and Policy, Vol 16, Iss 1, Pp 1-10 (2021)
Abstract Background Opioid use disorder (OUD), a chronic disease, is a major public health problem. Despite availability of effective treatment, too few people receive it and treatment retention is low. Understanding barriers and facilitators of trea
Externí odkaz:
https://doaj.org/article/3bdd1ba943f54c8888e149e8792103d8
Autor:
Gisela Pattarone, Laura Acion, Marina Simian, Roland Mertelsmann, Marie Follo, Emmanuel Iarussi
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-1 (2021)
Externí odkaz:
https://doaj.org/article/d2c8fe8a771345479ddfab9f5c26c182
Publikováno v:
PLoS ONE, Vol 12, Iss 4, p e0175383 (2017)
There are several methods for building prediction models. The wealth of currently available modeling techniques usually forces the researcher to judge, a priori, what will likely be the best method. Super learning (SL) is a methodology that facilitat
Externí odkaz:
https://doaj.org/article/892b5af68e664432b533324f0a52b18d
Publikováno v:
The American Journal of Geriatric Psychiatry. 30:1055-1063
To see whether the percentage of older adults entering substance use treatment for their first time continued to increase and whether there were changes in the use patterns leading to the treatment episode, particularly an increase in illicit drugs.P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87d95c27ec0d6b0aa41a228e30a9476d
https://doi.org/10.1016/j.jagp.2022.03.003
https://doi.org/10.1016/j.jagp.2022.03.003
Publikováno v:
Nordic Studies on Alcohol and Drugs. 40:6-13
Background: While English is only the native language of 7.3% of the world's population and less than 20% can speak the language, nearly 75% of all scientific publications are English. Aim: To describe how and why scientific contributions from the no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b877c09ff5dd438401a3d7a306dec305
https://doi.org/10.1177/14550725221102227
https://doi.org/10.1177/14550725221102227
Autor:
Peter B. Barr, Zoe Neale, Jessica Schulman, Niamh Mullins, Jian Zhang, David B. Chorlian, Chella Kamarajan, Sivan Kinreich, Ashwini K. Pandey, Gayathri Pandey, Stacey Saenz de Viteri, Laura Acion, Lance Bauer, Kathleen K. Bucholz, Grace Chan, Michael Chao, Danielle M. Dick, Howard J. Edenberg, Tatiana Foroud, Alison Goate, Victor Hesselbrock, Emma C. Johnson, John Kramer, Dongbing Lai, Martin H. Plawecki, Jessica E. Salvatore, Leah Wetherill, Arpana Agrawal, Bernice Porjesz, Jacquelyn L. Meyers
Publikováno v:
medRxiv
Research has identified clinical, genomic, and neurophysiological markers associated with suicide attempts (SA) among individuals with psychiatric illness. However, there is limited research among those with an alcohol use disorder, despite their dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46e39066fef83d04424bc94ccb11ffe5
https://europepmc.org/articles/PMC10168504/
https://europepmc.org/articles/PMC10168504/
Publikováno v:
Substance Abuse and Rehabilitation
This review examines the impact of stigma on pregnant people who use substances. Stigma towards people who use drugs is pervasive and negatively impacts the care of substance-using people by characterizing addiction as a weakness and fostering belief
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8337d2e29540f50b03833e1834bca9ab
http://europepmc.org/articles/PMC8627324
http://europepmc.org/articles/PMC8627324
Autor:
Rebecca Tillman, Jay A. Tischfield, Fazil Aliev, Marc A. Schuckit, Laura Acion, John I. Nurnberger, Kathleen K. Bucholz, Ryan Bogdan, Samuel Kuperman, Arpana Agrawal, Yoonhoo Chang, Martin H. Plawecki, Howard J. Edenberg, Jacquelyn L. Meyers, Jessica E. Salvatore, Ashwini K. Pandey, John Kramer, Victor Hesselbrock, Anna R. Docherty, Grace Chan, Bernice Porjesz, Emma C. Johnson, David B. Chorlian, Chella Kamarajan, Danielle M. Dick
Publikováno v:
Complex psychiatry, vol 7, iss 1-2
Complex Psychiatry
Complex Psychiatry, vol 7, iss 1-2
Complex Psychiatry
Complex Psychiatry, vol 7, iss 1-2
Author(s): Johnson, Emma C; Aliev, Fazil; Meyers, Jacquelyn L; Salvatore, Jessica E; Tillman, Rebecca; Chang, Yoonhoo; Docherty, Anna R; Bogdan, Ryan; Acion, Laura; Chan, Grace; Chorlian, David B; Kamarajan, Chella; Kuperman, Samuel; Pandey, Ashwini;
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::837b0740ff42c6be463f310daf333c17
https://doi.org/10.1159/000517169
https://doi.org/10.1159/000517169
Publikováno v:
The American journal of drug and alcohol abuse. 48(3)
Machine learning assembles a broad set of methods and techniques to solve a wide range of problems, such as identifying individuals with substance use disorders (SUD), finding patterns in neuroimages, understanding SUD prognostic factors and their as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3a8ca38a3fa60698aa580635497e4ca
https://pubmed.ncbi.nlm.nih.gov/35389305
https://pubmed.ncbi.nlm.nih.gov/35389305