Non-communicable Diseases, Big Data and Artificial Intelligence
This reprint includes 15 articles in the field of non-communicable Diseases, big data, and artificial intelligence, overviewing the most recent advances in the field of AI and their application potential in 3P medicine.
Saved in:
| HerausgeberIn: | |
|---|---|
| Sonstige: | |
| Year of Publication: | 2022 |
| Language: | English |
| Physical Description: | 1 electronic resource (214 p.) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 03078nam-a2200973z--4500 | ||
|---|---|---|---|
| 001 | 993560444104498 | ||
| 005 | 20231214133224.0 | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 202209s2022 xx |||||o ||| 0|eng d | ||
| 035 | |a (CKB)5680000000080751 | ||
| 035 | |a (oapen)https://directory.doabooks.org/handle/20.500.12854/92034 | ||
| 035 | |a (EXLCZ)995680000000080751 | ||
| 041 | 0 | |a eng | |
| 100 | 1 | |a Wang, Youxin |4 edt | |
| 245 | 1 | 0 | |a Non-communicable Diseases, Big Data and Artificial Intelligence |
| 260 | |a Basel |b MDPI Books |c 2022 | ||
| 300 | |a 1 electronic resource (214 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 520 | |a This reprint includes 15 articles in the field of non-communicable Diseases, big data, and artificial intelligence, overviewing the most recent advances in the field of AI and their application potential in 3P medicine. | ||
| 546 | |a English | ||
| 650 | 7 | |a Medicine |2 bicssc | |
| 653 | |a artificial intelligence | ||
| 653 | |a computer-aided diagnosis | ||
| 653 | |a facial phenotypes | ||
| 653 | |a machine learning | ||
| 653 | |a complexity theory | ||
| 653 | |a dementia | ||
| 653 | |a cognitive dysfunction | ||
| 653 | |a neuropsychological tests | ||
| 653 | |a mental status and dementia tests | ||
| 653 | |a spontaneous intracerebral hemorrhage (SICH) | ||
| 653 | |a 90-day function outcome | ||
| 653 | |a mortality | ||
| 653 | |a osteoarthritis | ||
| 653 | |a venous thrombosis | ||
| 653 | |a VTE risk prediction | ||
| 653 | |a machine learning algorithm | ||
| 653 | |a population-based cohort study | ||
| 653 | |a pituitary adenoma | ||
| 653 | |a craniopharyngioma | ||
| 653 | |a optic chiasm | ||
| 653 | |a multicenter | ||
| 653 | |a treatment outcome | ||
| 653 | |a liver neoplasms | ||
| 653 | |a deep learning | ||
| 653 | |a diabetic complication | ||
| 653 | |a gene-gene interaction | ||
| 653 | |a AGER | ||
| 653 | |a IL6R | ||
| 653 | |a multiple sclerosis | ||
| 653 | |a DNA methylation | ||
| 653 | |a entropy | ||
| 653 | |a atherosclerosis | ||
| 653 | |a plaque characterization | ||
| 653 | |a physical activity | ||
| 653 | |a osteoporosis | ||
| 653 | |a osteoporotic fracture | ||
| 653 | |a vertebral fracture | ||
| 653 | |a hip fracture | ||
| 653 | |a distal radius fracture | ||
| 653 | |a small for gestational age | ||
| 653 | |a exposure to radiation | ||
| 653 | |a prediction | ||
| 653 | |a coronary plaque | ||
| 653 | |a major adverse cardiovascular events | ||
| 653 | |a coronary artery disease | ||
| 653 | |a coronary computed tomographic angiography | ||
| 653 | |a acute pancreatitis | ||
| 653 | |a predictor | ||
| 653 | |a interventions | ||
| 653 | |a type 2 diabetes mellitus (T2DM) | ||
| 653 | |a prediction model | ||
| 653 | |a Chinese elderly | ||
| 653 | |a prediabetes | ||
| 653 | |a incident diabetes | ||
| 653 | |a predictive models | ||
| 776 | |z 3-0365-4848-3 | ||
| 776 | |z 3-0365-4847-5 | ||
| 700 | 1 | |a Feng, Ming |4 edt | |
| 700 | 1 | |a Wang, Youxin |4 oth | |
| 700 | 1 | |a Feng, Ming |4 oth | |
| 906 | |a BOOK | ||
| ADM | |b 2023-12-15 05:46:57 Europe/Vienna |f system |c marc21 |a 2022-09-22 08:09:39 Europe/Vienna |g false | ||
| AVE | |i DOAB Directory of Open Access Books |P DOAB Directory of Open Access Books |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5344131470004498&Force_direct=true |Z 5344131470004498 |b Available |8 5344131470004498 | ||