[HTML][HTML] Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a …
MR Afrash, E Mirbagheri, M Mashoufi… - BMC Medical Informatics …, 2023 - Springer
Background Gastric cancer is the most common malignant tumor worldwide and a leading
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study.
MR Afrash, E Mirbagheri, M Mashoufi… - … & Decision Making, 2023 - search.ebscohost.com
Background: Gastric cancer is the most common malignant tumor worldwide and a leading
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study
MR Afrash, E Mirbagheri… - BMC medical …, 2023 - pubmed.ncbi.nlm.nih.gov
Background Gastric cancer is the most common malignant tumor worldwide and a leading
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
[HTML][HTML] Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a …
MR Afrash, E Mirbagheri… - BMC Medical …, 2023 - bmcmedinformdecismak …
Gastric cancer is the most common malignant tumor worldwide and a leading cause of
cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
[PDF][PDF] Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative …
MR Afrash, E Mirbagheri, M Mashoufi… - … and Decision Making, 2023 - researchgate.net
Background Gastric cancer is the most common malignant tumor worldwide and a leading
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study
MR Afrash, E Mirbagheri, M Mashoufi… - BMC Medical …, 2023 - search.proquest.com
Background Gastric cancer is the most common malignant tumor worldwide and a leading
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
[HTML][HTML] Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a …
MR Afrash, E Mirbagheri, M Mashoufi… - … and Decision Making, 2023 - ncbi.nlm.nih.gov
Background Gastric cancer is the most common malignant tumor worldwide and a leading
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study.
MR Afrash, E Mirbagheri, M Mashoufi… - … and Decision Making, 2023 - europepmc.org
Background Gastric cancer is the most common malignant tumor worldwide and a leading
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
[PDF][PDF] Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative …
MR Afrash, E Mirbagheri… - BMC Medical …, 2023 - bmcmedinformdecismak …
Background Gastric cancer is the most common malignant tumor worldwide and a leading
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study.
MR Afrash, E Mirbagheri, M Mashoufi… - … and Decision Making, 2023 - europepmc.org
Background Gastric cancer is the most common malignant tumor worldwide and a leading
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …
cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes …