{"id":"https://openalex.org/W7204186249","doi":"https://doi.org/10.1201/9781003667360-10","title":"AI-Driven Early Detection of Multiple Sclerosis Through Explainable Deep Learning","display_name":"AI-Driven Early Detection of Multiple Sclerosis Through Explainable Deep Learning","publication_year":2026,"publication_date":"2026-08-25","ids":{"openalex":"https://openalex.org/W7204186249","doi":"https://doi.org/10.1201/9781003667360-10"},"language":"en","primary_location":{"id":"doi:10.1201/9781003667360-10","doi":"https://doi.org/10.1201/9781003667360-10","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9781003667360-10","pdf_url":null,"source":{"id":"https://openalex.org/S4306463075","display_name":"CRC Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320584","host_organization_name":"CRC Press","host_organization_lineage":["https://openalex.org/P4310320584","https://openalex.org/P4310320547"],"host_organization_lineage_names":["CRC Press","Taylor & Francis"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Precision Healthcare","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W7204170751","display_name":"Intelligent Precision Healthcare"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5148169413","display_name":"Aathilakhmi P.","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aathilakhmi P.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119149689","display_name":"M. Abinaya","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abinaya M.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148127172","display_name":"Deeksha S.","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deeksha S.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148116769","display_name":"Harini Sri G.","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harini Sri G.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148117209","display_name":"M. Malathi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Malathi M.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148049635","display_name":"Ayman Nayef Ahmad Alhalaybeh","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ayman Nayef Ahmad Alhalaybeh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113986483","display_name":"Priyatharshini Rajaram","orcid":"https://orcid.org/0000-0001-6749-0217","observed_orcids":["https://orcid.org/0000-0001-6749-0217"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Priyatharshini Rajaram","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.83556299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"133","last_page":"147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.46219998598098755,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.46219998598098755,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10137","display_name":"Multiple Sclerosis Research Studies","score":0.3019999861717224,"subfield":{"id":"https://openalex.org/subfields/2734","display_name":"Pathology and Forensic Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.10019999742507935,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multiple-sclerosis","display_name":"multiple sclerosis","score":0.9990000128746033},{"id":"https://openalex.org/keywords/early-detection","display_name":"early detection","score":0.9440000057220459},{"id":"https://openalex.org/keywords/neurodegenerative-diseases","display_name":"neurodegenerative diseases","score":0.8849999904632568},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.9950000047683716},{"id":"https://openalex.org/keywords/demyelination","display_name":"demyelination","score":0.7020000219345093},{"id":"https://openalex.org/keywords/neuroinflammation","display_name":"neuroinflammation","score":0.9369999766349792},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.7360000014305115},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"gradient boosting","score":0.9990000128746033},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9829999804496765},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9919999837875366},{"id":"https://openalex.org/keywords/diagnosis","display_name":"diagnosis","score":0.41600000858306885},{"id":"https://openalex.org/keywords/clinician-trust-in-ai","display_name":"clinician trust in AI","score":0.7979999780654907}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6980999708175659},{"id":"https://openalex.org/C2780596555","wikidata":"https://www.wikidata.org/wiki/Q206901","display_name":"Amyotrophic lateral sclerosis","level":3,"score":0.6122000217437744},{"id":"https://openalex.org/C2780640218","wikidata":"https://www.wikidata.org/wiki/Q8277","display_name":"Multiple sclerosis","level":2,"score":0.5997999906539917},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5989000201225281},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.590499997138977},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.49399998784065247},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.49050000309944153},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4724000096321106},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.46480000019073486},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.3817000091075897},{"id":"https://openalex.org/C2991673738","wikidata":"https://www.wikidata.org/wiki/Q5062122","display_name":"Brain disease","level":3,"score":0.3815999925136566},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36390000581741333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3547999858856201},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3125},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.30169999599456787},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.28279998898506165},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1201/9781003667360-10","doi":"https://doi.org/10.1201/9781003667360-10","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9781003667360-10","pdf_url":null,"source":{"id":"https://openalex.org/S4306463075","display_name":"CRC Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320584","host_organization_name":"CRC Press","host_organization_lineage":["https://openalex.org/P4310320584","https://openalex.org/P4310320547"],"host_organization_lineage_names":["CRC Press","Taylor & Francis"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Precision Healthcare","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":1.0,"id":"https://metadata.un.org/sdg/3"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Neurodegenerative":[0],"disorder":[1,95],"is":[2,72,91,217,233,236,264],"a":[3,27,92,145],"heterogeneous":[4],"group":[5,28],"of":[6,29,79,110,139,153,168,185,223,229,267,293,303,307,311],"life-threatening":[7],"chronic":[8],"diseases":[9,12,44,308],"that":[10,31,234,270],"include":[11],"such":[13,154,169],"as":[14,242],"Alzheimer,":[15],"Parkinson,":[16],"multiple":[17,186],"sclerosis,":[18,22],"Huntington,":[19],"and":[20,35,38,101,125,132,165,191,206,283,300,309,320],"amyotrophic":[21],"which":[23,71,96,324],"are":[24,58],"characterized":[25,98],"by":[26,76,99,121,295],"conditions":[30],"damage":[32],"the":[33,51,68,80,86,108,111,118,150,181,221,224,230,244,253,265,268,278,284,291,297],"brain":[34,182],"spinal":[36],"cord":[37],"become":[39,46],"worse":[40],"over":[41,59],"time.":[42],"These":[43],"have":[45],"increasingly":[47],"prevalent,":[48],"especially":[49],"among":[50,85,240],"elderly":[52],"population.":[53,83],"According":[54],"to":[55,74,129,188,213,219,326],"WHO,":[56],"there":[57,159,235],"50":[60],"million":[61],"people":[62],"suffering":[63],"from":[64],"neurodegenerative":[65,94,248],"disease":[66],"in":[67,163,180],"world":[69],"today,":[70],"expected":[73],"triple":[75],"2050":[77],"because":[78],"old":[81],"age":[82],"As":[84],"major":[87,231],"diseases,":[88],"Multiple":[89],"sclerosis":[90,187],"progressive":[93],"was":[97],"demyelination":[100],"neuro-inflammation.":[102],"Early":[103],"detection":[104,152,167],"may":[105],"slow":[106],"down":[107],"severity":[109],"disease.":[112,249],"Currently,":[113],"artificial":[114,257],"intelligence":[115,258],"has":[116,142],"revolutionized":[117],"medical":[119,140],"field":[120],"leveraging":[122],"machine":[123,177,225,273],"learning":[124,127,226,274],"deep":[126],"techniques":[128,282],"improve":[130,189],"accuracy":[131,164,190],"integrating":[133],"AI":[134,269,281],"into":[135],"clinical":[136,286],"activities.":[137],"Availability":[138],"datasets":[141],"opened":[143],"up":[144],"new":[146],"avenue":[147],"for":[148],"strengthening":[149],"early":[151,166],"diseases.":[155,170],"In":[156,211],"contemporary":[157],"research,":[158],"were":[160],"critical":[161],"situations":[162],"This":[171,193],"study":[172],"presents":[173],"comprehensive":[174],"information":[175],"on":[176,272],"learning\u2013triggered":[178],"effort":[179],"care":[183,329],"domain":[184],"efficiency.":[192],"research":[194],"integrates":[195],"random":[196],"forest":[197],"(RF),":[198],"gradient":[199],"boosting":[200],"(GB),":[201],"support":[202],"vector":[203],"machines":[204],"(SVM),":[205],"conventional":[207],"neural":[208],"networks":[209],"(CNN).":[210],"addition":[212],"this,":[214,252],"K-fold":[215],"cross-validation":[216],"integrated":[218],"enhance":[220],"efficiency":[222],"model.":[227],"One":[228],"limitations":[232],"no":[237],"trust":[238],"created":[239],"clinicians":[241,294],"per":[243],"AI\u2019s":[245],"outcome":[246],"about":[247],"To":[250],"overcome":[251],"technique":[254],"called":[255],"explainable":[256],"(XAI)":[259],"can":[260],"be":[261],"used.":[262],"It":[263,289],"branch":[266],"focuses":[271],"models.":[275],"XAI":[276],"bridges":[277],"gap":[279],"between":[280],"real-time":[285],"test":[287],"records.":[288],"increases":[290],"understanding":[292],"increasing":[296],"transparency,":[298],"trust,":[299],"ethical":[301],"use":[302],"AI.":[304],"The":[305],"evaluation":[306],"creation":[310],"patient":[312,328],"groups":[313],"becomes":[314],"more":[315],"effective":[316],"through":[317],"improved":[318],"diagnosis":[319],"enhanced":[321],"treatment":[322],"systems,":[323],"lead":[325],"elevated":[327],"quality.":[330]},"counts_by_year":[],"updated_date":"2026-10-10T09:11:00.788812","created_date":"2026-08-26T00:00:00"}
