LDR | | 01630cmm u2200385Mu 4500 |
001 | | 000000327397 |
003 | | OCoLC |
005 | | 20240307135639 |
006 | | m d |
007 | | cr cnu---unuuu |
008 | | 221231s2023 dcu o ||| 0 eng d |
020 | |
▼a 9780309695091
▼q (electronic bk.) |
020 | |
▼a 0309695090
▼q (electronic bk.) |
020 | |
▼a 9780309695077 |
020 | |
▼a 0309695074 |
035 | |
▼a 3517607
▼b (N$T) |
035 | |
▼a (OCoLC)1356004447 |
040 | |
▼a EBLCP
▼b eng
▼c EBLCP
▼d OCLCO
▼d OCLCQ
▼d N$T
▼d 248032 |
049 | |
▼a MAIN |
050 | 4 |
▼a HV6545 |
082 | 04 |
▼a 362.28
▼2 23/eng/20231010 |
110 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.) |
245 | 10 |
▼a Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide
▼h [electronic resource] :
▼b Proceedings of a Workshop. |
260 | |
▼a Washington, D.C. :
▼b National Academies Press,
▼c 2023. |
300 | |
▼a 1 online resource (97 p.) |
588 | 0 |
▼a Print version record. |
590 | |
▼a Added to collection customer.56279.3 |
650 | 0 |
▼a Suicide
▼x Prevention
▼v Congresses. |
700 | 1 |
▼a Nass, Sharyl J. |
700 | 1 |
▼a Pool, Robert. |
700 | 1 |
▼a Amankwah, Francis. |
776 | 08 |
▼i Print version:
▼a National Academies of Sciences, Engineering, and Medicine.
▼t Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide.
▼d Washington, D.C. : National Academies Press, 2023
▼z 9780309695077 |
856 | 40 |
▼3 EBSCOhost
▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3517607 |
938 | |
▼a EBSCOhost
▼b EBSC
▼n 3517607 |
990 | |
▼a 관리자 |
994 | |
▼a 92
▼b N$T |