| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0583920 |
| utime |
20240402215326.3 |
| mtime |
20240311235959.9 |
| DOI |
10.1007/978-981-97-1335-6_32 |
| title
(primary) (eng) |
Survival Modeling of Disease Consequences and Post-disease Syndromes |
| specification |
| page_count |
10 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0583919 |
| ISBN |
978-981-97-1334-9 |
| ISSN |
1876-1100 |
| title
|
Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) |
| part_title |
LNEE |
| page_num |
365-374 |
| publisher |
| place |
Singapore |
| name |
Springer Nature Singapore |
| year |
2024 |
|
| editor |
|
| editor |
|
| editor |
| name1 |
Frangi |
| name2 |
Alejandro F. |
|
|
| keyword |
survival model |
| keyword |
permanent disease consequence |
| keyword |
Poliomyelitis anterior acuta |
| keyword |
post-disease syndromes |
| author
(primary) |
| ARLID |
cav_un_auth*0101093 |
| name1 |
Haindl |
| name2 |
Michal |
| institution |
UTIA-B |
| full_dept (cz) |
Rozpoznávání obrazu |
| full_dept (eng) |
Department of Pattern Recognition |
| department (cz) |
RO |
| department (eng) |
RO |
| full_dept |
Department of Pattern Recognition |
| share |
100 |
| garant |
A |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| source |
|
| cas_special |
| abstract
(eng) |
We present a survival model for human maladies, which leave victims with permanent health damages requiring life-long medical observation and treatment. The model allows national health authorities to prepare sufficient medical specialists with adequate capacity in specialized clinics, vaccinations, spas, or rehabilitation facilities. We test the model on Czech Polio (Poliomyelitis Anterior Acuta) victims' data. COVID-19 or Long Covid-19 and the treatment of their wide range of ongoing health problems, where these conditions can last weeks, months, or years, can benefit from Polio and COVID-19 RNA virus similarities. |
| action |
| ARLID |
cav_un_auth*0464512 |
| name |
International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) |
| dates |
20231209 |
| mrcbC20-s |
20231210 |
| place |
Cambridge |
| country |
GB |
|
| RIV |
IN |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20205 |
| reportyear |
2024 |
| num_of_auth |
1 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0352102 |
| confidential |
S |
| arlyear |
2024 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0583919 Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) Springer Nature Singapore 2024 Singapore 365 374 978-981-97-1334-9 Lecture Notes in Electrical Engineering LNEE 1166 1876-1100 1876-1119 |
| mrcbU67 |
Su Ruidan 340 |
| mrcbU67 |
Zhang Yudong 340 |
| mrcbU67 |
Frangi Alejandro F. 340 |
|