Results 131 to 140 of about 687,233 (163)

Prediction of maturity-onset diabetes of the young subtypes using machine learning. [PDF]

Front Digit Health
Figueroa I, Flores R, Millán A, de Dios A, Frechtel GD, López AP, Mennickent D.   +6 more
europepmc   +1 more source

Correction: Relationship between physical function and sarcopenia in the older adults from Amazonas: A cross-sectional study. [PDF]

PLoS One
Lima AB, Henrinques-Neto D, Scott D, de Araújo Pinto A, Dos Santos Ribeiro G, Peralta M, Miranda KA, Campos P, Gouveia ER.   +8 more
europepmc   +1 more source

Data-driven probabilistic mapping of the spatial and molecular landscape of glioma. [PDF]

Brain Commun
Samuel N, Germann J, Yang A, Sarica C, Boutet A, Vetkas A, Santyr B, Lang S, Chicco D, Lozano AM.   +9 more
europepmc   +1 more source

RNA knowledge-graph analysis through homogeneous embedding methods. [PDF]

Bioinform Adv
Torgano F, Soto Gomez M, Zignani M, Gliozzo J, Cavalleri E, Mesiti M, Casiraghi E, Valentini G.   +7 more
europepmc   +1 more source

Professional competency framework for occupational health nurses in Brazil. [PDF]

Rev Bras Enferm
Ignacio DS, Leal LA, Silva IG, Osugui DM, Faleiros F, Henriques SH.   +5 more
europepmc   +1 more source

Nine quick tips for trustworthy machine learning in the biomedical sciences. [PDF]

PLoS Comput Biol
Oneto L, Chicco D.
europepmc   +1 more source

Large infinities and definable sets. [PDF]

Proc Natl Acad Sci U S A
Aguilera JP, Bagaria J, Lücke P.
europepmc   +1 more source

Thirty-five Years from Accepting Former Yugoslavia Association of Medical Informatics (YAMI) at EFMI and IMIA During MIE'90 in Glasgow, Scotland. [PDF]

Acta Inform Med
Masic I.
europepmc   +1 more source

CaRinDB: an integrated database of common cancer mutations and residue interaction network parameters. [PDF]

Bioinform Adv
Guedes Pereira DCB, Ferreira Cavalcante JV, Cavalcanti LF, Falcão RM, Santana de Souza JE, Dalmolin RJS, do Rêgo TG, Mangul S, de Souza GA, de Souza GA, Terrematte P, Lima JPMS.   +11 more
europepmc   +1 more source

Reclassification of Low or Intermediate Cardiovascular Risk by Determining Lipoprotein(a) Levels. [PDF]

Biomedicines
Cordero A, Salinas JM, Quintanilla MA, López-Ayala JM, Blasco Á, Flores E.   +5 more
europepmc   +1 more source