Matches in SemOpenAlex for { <https://semopenalex.org/work/W4211195874> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4211195874 endingPage "253" @default.
- W4211195874 startingPage "253" @default.
- W4211195874 abstract "Early diagnosis of cancer is beneficial in the formulation of the best treatment plan; it can improve the survival rate and the quality of patient life. However, imaging detection and needle biopsy usually used not only find it difficult to effectively diagnose tumors at early stage, but also do great harm to the human body. Since the changes in a patient's health status will cause changes in blood protein indexes, if cancer can be diagnosed by the changes in blood indexes in the early stage of cancer, it can not only conveniently track and detect the treatment process of cancer, but can also reduce the pain of patients and reduce the costs. In this paper, 39 serum protein markers were taken as research objects. The difference of the entropies of serum protein marker sequences in different types of patients was analyzed, and based on this, a cost-sensitive analysis model was established for the purpose of improving the accuracy of cancer recognition. The results showed that there were significant differences in entropy of different cancer patients, and the complexity of serum protein markers in normal people was higher than that in cancer patients. Although the dataset was rather imbalanced, containing 897 instances, including 799 normal instances, 44 liver cancer instances, and 54 ovarian cancer instances, the accuracy of our model still reached 95.21%. Other evaluation indicators were also stable and satisfactory; precision, recall, F1 and AUC reach 0.807, 0.833, 0.819 and 0.92, respectively. This study has certain theoretical and practical significance for cancer prediction and clinical application and can also provide a research basis for the intelligent medical treatment." @default.
- W4211195874 created "2022-02-13" @default.
- W4211195874 creator A5011058821 @default.
- W4211195874 creator A5027164530 @default.
- W4211195874 date "2022-02-08" @default.
- W4211195874 modified "2023-10-14" @default.
- W4211195874 title "Cost-Sensitive KNN Algorithm for Cancer Prediction Based on Entropy Analysis" @default.
- W4211195874 cites W1986488785 @default.
- W4211195874 cites W1990795458 @default.
- W4211195874 cites W2006803905 @default.
- W4211195874 cites W2051376424 @default.
- W4211195874 cites W2111547563 @default.
- W4211195874 cites W2122111042 @default.
- W4211195874 cites W2126964856 @default.
- W4211195874 cites W2146084671 @default.
- W4211195874 cites W2530103281 @default.
- W4211195874 cites W2739924525 @default.
- W4211195874 cites W2751084232 @default.
- W4211195874 cites W2778311501 @default.
- W4211195874 cites W2782477986 @default.
- W4211195874 cites W2783674487 @default.
- W4211195874 cites W2906894504 @default.
- W4211195874 cites W2917459525 @default.
- W4211195874 cites W2947459187 @default.
- W4211195874 cites W2951209146 @default.
- W4211195874 cites W2954499361 @default.
- W4211195874 cites W3024899322 @default.
- W4211195874 cites W3048208816 @default.
- W4211195874 cites W3088121437 @default.
- W4211195874 cites W3164185089 @default.
- W4211195874 cites W4255833381 @default.
- W4211195874 doi "https://doi.org/10.3390/e24020253" @default.
- W4211195874 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35205547" @default.
- W4211195874 hasPublicationYear "2022" @default.
- W4211195874 type Work @default.
- W4211195874 citedByCount "5" @default.
- W4211195874 countsByYear W42111958742022 @default.
- W4211195874 countsByYear W42111958742023 @default.
- W4211195874 crossrefType "journal-article" @default.
- W4211195874 hasAuthorship W4211195874A5011058821 @default.
- W4211195874 hasAuthorship W4211195874A5027164530 @default.
- W4211195874 hasBestOaLocation W42111958741 @default.
- W4211195874 hasConcept C106301342 @default.
- W4211195874 hasConcept C11413529 @default.
- W4211195874 hasConcept C121332964 @default.
- W4211195874 hasConcept C121608353 @default.
- W4211195874 hasConcept C126322002 @default.
- W4211195874 hasConcept C143998085 @default.
- W4211195874 hasConcept C146357865 @default.
- W4211195874 hasConcept C151730666 @default.
- W4211195874 hasConcept C41008148 @default.
- W4211195874 hasConcept C62520636 @default.
- W4211195874 hasConcept C71924100 @default.
- W4211195874 hasConcept C86803240 @default.
- W4211195874 hasConceptScore W4211195874C106301342 @default.
- W4211195874 hasConceptScore W4211195874C11413529 @default.
- W4211195874 hasConceptScore W4211195874C121332964 @default.
- W4211195874 hasConceptScore W4211195874C121608353 @default.
- W4211195874 hasConceptScore W4211195874C126322002 @default.
- W4211195874 hasConceptScore W4211195874C143998085 @default.
- W4211195874 hasConceptScore W4211195874C146357865 @default.
- W4211195874 hasConceptScore W4211195874C151730666 @default.
- W4211195874 hasConceptScore W4211195874C41008148 @default.
- W4211195874 hasConceptScore W4211195874C62520636 @default.
- W4211195874 hasConceptScore W4211195874C71924100 @default.
- W4211195874 hasConceptScore W4211195874C86803240 @default.
- W4211195874 hasFunder F4320321001 @default.
- W4211195874 hasIssue "2" @default.
- W4211195874 hasLocation W42111958741 @default.
- W4211195874 hasLocation W42111958742 @default.
- W4211195874 hasLocation W42111958743 @default.
- W4211195874 hasOpenAccess W4211195874 @default.
- W4211195874 hasPrimaryLocation W42111958741 @default.
- W4211195874 hasRelatedWork W167319750 @default.
- W4211195874 hasRelatedWork W1990468354 @default.
- W4211195874 hasRelatedWork W2029605690 @default.
- W4211195874 hasRelatedWork W2348266771 @default.
- W4211195874 hasRelatedWork W2356105190 @default.
- W4211195874 hasRelatedWork W2377925008 @default.
- W4211195874 hasRelatedWork W2386767533 @default.
- W4211195874 hasRelatedWork W2748952813 @default.
- W4211195874 hasRelatedWork W2899084033 @default.
- W4211195874 hasRelatedWork W4287415335 @default.
- W4211195874 hasVolume "24" @default.
- W4211195874 isParatext "false" @default.
- W4211195874 isRetracted "false" @default.
- W4211195874 workType "article" @default.