| 000 | 03038 a2200445 4500 | ||
|---|---|---|---|
| 001 | 23616552 | ||
| 003 | 0000 | ||
| 005 | 20251015144403.0 | ||
| 008 | 240322s2024 flu b 001 0 eng | ||
| 010 | _a 2024011696 | ||
| 020 | _a9781032428390 | ||
| 035 | _a23616552 | ||
| 040 |
_aDLC _beng _erda _cDLC _dDLC |
||
| 042 | _apcc | ||
| 050 | 0 | 0 | _aR 859.7 .A78 A787 |
| 082 | 0 | 0 |
_a610.285 _223/eng/20240621 |
| 100 | _aSharma Neha (edited) | ||
| 245 | 0 | 0 |
_aArtificial intelligence technology in healthcare : _bsecurity and privacy issues / _c Durgesh Srivastava, and Deepak Sinwar. |
| 250 | _aFirst edition. | ||
| 263 | _a2409 | ||
| 264 | 1 |
_aBoca Raton, FL : _bCRC Press, _c2024. |
|
| 300 |
_axvi, 312p. _bill. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_aunmediated _bn _2rdamedia |
||
| 338 |
_avolume _bnc _2rdacarrier |
||
| 490 | 0 | _aAdvances in smart healthcare technologies | |
| 504 | _aIncludes bibliographical references and index. | ||
| 520 |
_a"Artificial Intelligence Technology in Healthcare: Security and Privacy Issues focusses on current issues with the patient's privacy and data security including data breaches in healthcare organizations, unauthorized access to patient's information, and medical identity theft. It explains recent breakthroughs and problems in deep learning security and privacy issues, emphasizing current state-of-the-art methods, methodologies, implementation, attacks, and countermeasures. It examines the issues related to develop AI-based security mechanisms which can gather or share data across several healthcare applications securely and privately. The book combines multiple technologies (i.e., IoT, Federated Computing, and AI) for managing and securing smart healthcare systems and includes state-of-the-art machine learning, deep learning techniques for predictive analysis, fog and edge computing based real-time health monitoring. It covers how to diagnose critical diseases from medical imaging using advanced deep learning-based approaches and focusses on latest research on privacy, security, and threat detection on COVID19 through IoT. It also illustrates initiatives for research in smart computing for advanced healthcare management systems. This book is aimed at researchers and graduate students in bioengineering, artificial intelligence, and computer engineering"-- _cProvided by publisher. |
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| 650 | 0 |
_aArtificial intelligence _xMedical applications |
|
| 650 | 0 |
_aMedical care _xInformation technology _xSecurity measures. |
|
| 650 | 0 | _aComputer security. | |
| 650 | 0 | _aData protection. | |
| 700 | 1 |
_aSharma, Neha _c(Computer scientist), _eeditor. |
|
| 700 | 1 |
_aSrivastava, Durgesh _c(Computer scientist), _eeditor. |
|
| 700 | 1 |
_aSinwar, Deepak, _eeditor. |
|
| 776 | 0 | 8 |
_iOnline version: _tArtificial Intelligence technology in healthcare _bFirst. _dBoca Raton, FL : CRC Press, 2024 _z9781003377818 _w(DLC) 2024011697 |
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
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| 942 |
_2lcc _cBK |
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| 999 |
_c43803 _d43803 |
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