نتائج البحث

Predicting population-level vulnerability among pregnant women using routinely collected data and the added relevance of self-reported data.

• Authors : Molenaar, Joyce M^1,2; Leung, Ka Yin³; van der Meer, Lindsey⁴

Subjects: *Self-evaluation; *Lifestyles; *Random forest algorithms

• Source: European Journal of Public Health. Dec2024, Vol. 34 Issue 6, p1210-1217. 8p.

تفاصيل العنوان

Compound hot–dry events greatly prolong the recovery time of dryland ecosystems.

• Authors : Yao, Ying¹ (AUTHOR); Fu, Bojie² (AUTHOR) ; Liu, Yanxu¹ (AUTHOR)

• Source: National Science Review. Oct2024, Vol. 11 Issue 10, p1-9. 9p.

تفاصيل العنوان

A comprehensive benchmarking of machine learning algorithms and dimensionality reduction methods for drug sensitivity prediction.

• Authors : Eckhart, Lea¹ (AUTHOR) ; Lenhof, Kerstin² (AUTHOR); Rolli, Lisa-Marie² (AUTHOR)

• Source: Briefings in Bioinformatics. Jul2024, Vol. 25 Issue 4, p1-13. 13p.

تفاصيل العنوان

Fuzzy kernel evidence Random Forest for identifying pseudouridine sites.

• Authors : Chen, Mingshuai^1,2 (AUTHOR); Sun, Mingai³ (AUTHOR); Su, Xi⁴ (AUTHOR)

• Source: Briefings in Bioinformatics. May2024, Vol. 25 Issue 3, p1-14. 14p.

تفاصيل العنوان

Factors influencing the technical efficiency of diabetes care at primary care level in Mexico.

• Authors : Chivardi, Carlos¹ (AUTHOR) ; Sosa, Alejandro Zamudio² (AUTHOR)

Subjects: *Primary care; *Data envelopment analysis; *Machine learningMexico

• Source: Health Policy & Planning. Apr2024, Vol. 39 Issue 3, p318-326. 9p.

تفاصيل العنوان

Prediction of DNA i-motifs via machine learning.

• Authors : Yang, Bibo¹ (AUTHOR); Guneri, Dilek² (AUTHOR); Yu, Haopeng¹ (AUTHOR)

Subjects: *Machine learning; *DNA; *DNA folding

• Source: Nucleic Acids Research. 3/21/2024, Vol. 52 Issue 5, p2188-2197. 10p.

تفاصيل العنوان

Construction and optimization of data model based on knowledge feature in transmission line equipment state recognition.

• Authors : Chen, Jiangqi¹ (AUTHOR); Zhang, Zhisong¹ (AUTHOR); Zhang, Guoliang¹ (AUTHOR)

• Source: International Journal of Low Carbon Technologies. 2024, Vol. 19, p1959-1967. 9p.

تفاصيل العنوان

Quantum biological insights into CRISPR-Cas9 sgRNA efficiency from explainable-AI driven feature engineering.

• Authors : Noshay, Jaclyn M¹ (AUTHOR); Walker, Tyler² (AUTHOR); Alexander, William G³ (AUTHOR)

Subjects: *CRISPRs; *Escherichia coli; *Random forest algorithms

• Source: Nucleic Acids Research. 10/27/2023, Vol. 51 Issue 19, p10147-10161. 15p.

تفاصيل العنوان

Early detection of genotoxic hepatocarcinogens in rats using γH2AX and Ki-67: prediction by machine learning.

• Authors : Michiba, Ayano¹ (AUTHOR); Gi, Min² (AUTHOR); Yokohira, Masanao³ (AUTHOR)

Subjects: *Machine learning; *Ki-67 antigen; *Double-strand DNA breaks

• Source: Toxicological Sciences. Oct2023, Vol. 195 Issue 2, p202-212. 11p.

تفاصيل العنوان

Predicting potential microbe–disease associations based on multi-source features and deep learning.

• Authors : Wang, Liugen¹ (AUTHOR); Wang, Yan² (AUTHOR); Xuan, Chenxu² (AUTHOR)

• Source: Briefings in Bioinformatics. Jul2023, Vol. 24 Issue 4, p1-14. 14p.

تفاصيل العنوان