tomotopy is a Python extension of tomoto (Topic Modeling Tool) which is a Gibbs-sampling based topic model library written in C++. It utilizes a vectorization of modern CPUs for maximizing speed. The current version of tomoto supports several major topic models including
In natural language understanding, there is a hierarchy of lenses through which we can extract meaning - from words to sentences to paragraphs to documents. At the document level, one of the most useful ways to understand text is by analyzing its topics.
G. Norman, F. Sridhar, G. Guyatt, and S. Walter. Medical care, 39 (10):
1039-47(October 2001)4454<m:linebreak></m:linebreak>LR: 20041117; PUBM: Print; JID: 0230027; CIN: Med Care. 2001 Oct;39(10):1037-8. PMID: 11567166; ppublish;<m:linebreak></m:linebreak>MDCI.
G. Maldonado. Journal of epidemiology and community health, 62 (7):
655-63(July 2008)4593<m:linebreak></m:linebreak>GR: 1R29-ES07986/ES/NIEHS NIH HHS/United States; JID: 7909766; ppublish;<m:linebreak></m:linebreak>Mesures d'associació.
P. Fennema, and J. Lubsen. The Journal of bone and joint surgery. British volume, 92 (5):
701-6(May 2010)5813<m:linebreak></m:linebreak>LR: 20101110; JID: 0375355; ppublish;<m:linebreak></m:linebreak>Anàlisi de supervivència; Competing risks.
Y. Foucher, C. Combescure, J. Ashton-Chess, and M. Giral. American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 12 (4):
1060-1(April 2012)6790<br/>JID: 100968638; CON: Am J Transplant. 2010 Sep;10(9):2066-73. PMID: 20883541; CON: Am J Transplant. 2008 Jun;8(6):1205-13. PMID: 18444921; CON: Am J Transplant. 2008 Dec;8(12):2537-46. PMID: 18945283; 2012/01/06 aheadofprint; ppublish;<br/>Models predictius; Proves diagnòstiques.
M. Qualls, D. Pallin, and J. Schuur. Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 17 (10):
1113-21(October 2010)6036<m:linebreak></m:linebreak>CI: (c) 2010; JID: 9418450; ppublish;.
D. MacKinnon, J. Krull, and C. Lockwood. Prevention science : the official journal of the Society for Prevention Research, 1 (4):
173-81(December 2000)3530<m:linebreak></m:linebreak>Mesures d'associació.
A. Tobias, J. Díaz, M. Saez, and J. Alberdi. European journal of epidemiology, 17 (8):
765-71(January 2001)4331<m:linebreak></m:linebreak>LR: 20041117; PUBM: Print; JID: 8508062; 0 (Air Pollutants); ppublish;<m:linebreak></m:linebreak>Sèries temporals.
J. Hanley, A. Negassa, M. deB Edwardes, and J. Forrester. American journal of epidemiology, 157 (4):
364-75(February 2003)5955<m:linebreak></m:linebreak>LR: 20071114; GR: 5P01/DK45734-05/DK/NIDDK NIH HHS/United States; GR: CA 70269/CA/NCI NIH HHS/United States; GR: R01 DA/KK11598-01/DA/NIDA NIH HHS/United States; JID: 7910653; CIN: Am J Epidemiol. 2003 Aug 1;158(3):289; author reply 289-90. PMID: 12882954; CIN: Am J Epidemiol. 2003 Aug 1;158(3):289; author reply 289-90. PMID: 12882953; ppublish;<m:linebreak></m:linebreak>Anàlisi de dades; GEE; Dades longitudinals.
T. Stukel, E. Fisher, D. Wennberg, D. Alter, D. Gottlieb, and M. Vermeulen. JAMA : the journal of the American Medical Association, 297 (3):
278-85(January 2007)4085<m:linebreak></m:linebreak>LR: 20070518; PUBM: Print; GR: 1P01-AG19783-01/AG/NIA; JID: 7501160; CIN: JAMA. 2007 Jan 17;297(3):314-6. PMID: 17227985; CIN: JAMA. 2007 May 16;297(19):2077-8; auhor reply 2078. PMID: 17507341; CIN: JAMA. 2007 May 16;297(19):2077; auhor reply 2078. PMID: 17507342; ppublish;<m:linebreak></m:linebreak>Variables instrumentals.
M. Pencina, R. D'Agostino, and O. Demler. Statistics in medicine, 31 (2):
101-13(January 2012)6488<br/>CI: Copyright (c) 2011; JID: 8215016; aheadofprint;<br/>Models predictius; Proves diagnòstiques.