Using Machine Learning Algorithms to Predict Sepsis and Its Stages in ICU Patients / (Record no. 589201)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00438nam a22001457a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Qualifying information | Hard Cover. |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | SINES-NUST. |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 570.2-GHI |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Nimrah Ghias. |
| 9 (RLIN) | 91003 |
| 245 ## - TITLE STATEMENT | |
| Title | Using Machine Learning Algorithms to Predict Sepsis and Its Stages in ICU Patients / |
| Statement of responsibility, etc. | Ghias, Nimrah |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Islamabad: |
| Name of publisher, distributor, etc. | SINES-NUST, |
| Date of publication, distribution, etc. | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 82 p. : |
| Other physical details | ill. ; |
| Dimensions | 30cm. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Source of heading or term | MS-Bioinformatics. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| School of Interdisciplinary Engineering and Sciences (SINES) | School of Interdisciplinary Engineering and Sciences (SINES) | Thesis | 04/19/2022 | 570.2-GHI | RCMS003325 | 04/19/2022 | 04/19/2022 | Reference |