Results 71 to 80 of about 54,954 (162)

Interpretable ADC-based radiomics models for differentiating hepatocellular carcinoma and intrahepatic cholangiocarcinoma. [PDF]

Front Oncol
Zhang Y, Yin X, Guo B, Yang H, Huang Z.
europepmc   +1 more source

Predictive model for early fluid requirement in severe acute pancreatitis. [PDF]

BMC Gastroenterol
Jiamaliding A, Sun G, Wang J, Duan M, Ma Q.   +4 more
europepmc   +1 more source

Machine learning-based screening of sarcopenia in elderly women using non-invasive physiological signals. [PDF]

BMC Med Inform Decis Mak
Yoon J, Kim DK.
europepmc   +1 more source

Efficacy analysis and survival prediction of unique chemotherapy regimens for osteosarcoma in China. [PDF]

Front Physiol
Wang R, Bao Z, Chen F, Gao F, Yang J, Wang W.   +5 more
europepmc   +1 more source

A multimodal dataset for process monitoring and anomaly detection in industrial CNC milling. [PDF]

Data Brief
Ströbel R, Kuck M, Oexle F, Kader H, Puchta A, Noack B, Fleischer J.   +6 more
europepmc   +1 more source

An in silico protocol for predicting genetic biomarkers in rare diseases: a case study in sporadic amyotrophic lateral sclerosis. [PDF]

Front Genet
Aguerd A, Nouadi B, Ezaouine A, Fenjar I, Bennis F, Chegdani F.   +5 more
europepmc   +1 more source

Early mortality risk prediction in severe fever with thrombocytopenia syndrome using an interpretable machine learning model based on routine clinical parameters. [PDF]

Front Public Health
Dai Q, Guo J, Xu L, Lu Q, Chen H, Hu Y, Wang Y, Tong T.   +7 more
europepmc   +1 more source

Modeling of thermal errors for dual-spindle turning-milling compound machine tools based on hybrid networks. [PDF]

Sci Rep
Lu W, Wang J, Zhou J, Deng X, Wu H, Zhang L.   +5 more
europepmc   +1 more source

In-hospital survival characteristics and predictive model for patients with malignant tumors and sepsis. [PDF]

Front Med (Lausanne)
Gan Z, Zhang J, Huang J, Long S, Wu W, Wang G, Yao X, Li Q, Yang X, Li Y.   +9 more
europepmc   +1 more source

Discrimination between <i>Mycobacterium tuberculosis</i> and <i>Mycobacterium bovis</i> using Fourier transform infrared spectroscopy. [PDF]

One Health
Guterres KB, Silva-Pereira TT, Oliveira R, Moonen CGJ, Heinemann MB, Araújo F, Palaci M, de Souza GO, Guimarães NS, Guimarães AMS.   +9 more
europepmc   +1 more source