Results 51 to 60 of about 336 (111)

Machine learning in predicting severe acute respiratory infection outbreaks. [PDF]

Cad Saude Publica
Silva ADD, Gomes MFDC, Gregianini TS, Martins LG, Veiga ABGD.   +4 more
europepmc   +1 more source

How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students? A systematic review. [PDF]

Cad Saude Publica
Schaab BL, Calvetti PÜ, Hoffmann S, Diaz GB, Rech M, Cazella SC, Stein AT, Barros HMT, Silva PCD, Reppold CT.   +9 more
europepmc   +1 more source

Pursuing Pragmatic Risk Prediction in Heart Failure. [PDF]

Arq Bras Cardiol
Vaz TA, Clausell N.
europepmc   +1 more source

Artificial intelligence in nursing: advancing clinical judgment and decision-making. [PDF]

Rev Bras Enferm
Vitorino LM, Yoshinari Júnior GH, Lopes-Júnior LC.   +2 more
europepmc   +1 more source

FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPT. [PDF]

Arq Bras Cir Dig, 2023
Tustumi F, Andreollo NA, Aguilar-Nascimento JE.   +2 more
europepmc   +1 more source

Recognition by the Regulatory Physician of Expressions Used by Lay People when Asking for Help in Supposed Cardiorespiratory Arrest. [PDF]

Arq Bras Cardiol
Vinagre RCO.
europepmc   +1 more source

Machine Learning Algorithms to Estimate Propensity Scores in Health Policy Evaluation: A Scoping Review. [PDF]

Int J Environ Res Public Health
Lourenço L, Weber L, Garcia L, Ramos V, Souza J.   +4 more
europepmc   +1 more source

Unpacking the black box. [PDF]

Einstein (Sao Paulo), 2020
Martins TGDS, Schor P.
europepmc   +1 more source

Bots against corruption: Exploring the benefits and limitations of AI-based anti-corruption technology. [PDF]

Crime Law Soc Change, 2023
Odilla F.
europepmc   +1 more source

The Use of Twitter (X) by Brazilian Cardiologists: A Call to Action. [PDF]

Arq Bras Cardiol
Kaiser SE.
europepmc   +1 more source